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In wireless sensor networks, clustering class routing protocol is an important protocol type. Different clustering methods, and cluster head selection method directly affects the energy consumption of the entire network communication. This paper studies the effect of different partition methods of the network energy consumption, and to study the partitioning methods under the conditions of uneven distribution of nodes. We believe that energy efficiency clustering method should adapt the distributed of sensor nodes in order to improve energy efficiency. And according to the partition method we propose a low-power adaptive clustering routing protocol based on node distribution to partition. The protocol can effectively extend the lifetime of a wireless sensor network. Simulation results show that the proposed protocol can effectively prolong the network lifetime.

As a novel technology of information acquisition and processing, Wireless Sensor Network (WSN) has been widely used for complex large-scale localization tasks. With global distribution and sensing ability, wireless sensor network can provide valid optimal localization for mobile targets. According to the key problems of mobile target localization under wireless sensor network, this paper depicted current research status in both of line-of-sight and non-line-of-sight environments. Typical and representative algorithms are sorted and their ideas are evaluated. Finally, we discussed and anticipated the future research direction.

Trouble-free operation of large-scale mechanical equipment is of great significance to modern industrial production. The existing wireless sensor network nodes are not suitable for condition monitoring of mechanical equipment due to their low acquisition accuracy. In view of this, this article put forward a wireless sensor network for mechanical condition monitoring, and designed corresponding wireless sensor network nodes. These nodes could achieve high-precision acquisition of analog signals. This article described a wireless sensor network structure for mechanical condition monitoring, hardware design of wireless sensor nodes and software design of the system. The precision of the wireless sensor network nodes we designed was verified by experiment. The experiment result showed that the nodes could effectively acquire analog signal with high precision.

A Wireless Sensor Network is composed of sensor nodes powered by batteries. Thus, power consumption is the major challenge. In spite of so many research works discussing this issue from the aspects of network optimization and system design, so far not so many focus on optimizing power consumption of the Radio Frequency device, which consumes most of the energy. This paper describes the digital features of the Radio Frequency device used to optimize current consumption, and presents a practical approach to measure current consumption in static and dynamic scenarios in details, by which we evaluates the power saving effect. The results demonstrated that according to cycle times and application characteristics choosing appropriate features can prolong the lifetime of wireless sensor nodes.

The energy of the nodes in wireless sensor network is very limited. Power supply module power supply, not only need to give themselves also need to collect data of the sensor power supply, monitoring data sending and receiving, processing, also need to consume energy. If the node due to run out of battery and enter a state of "death", can cause the node collection data loss; If the node is terminal nodes, only this node data loss; But if the node is routing nodes, not only can cause data loss of this node, also can cause by all nodes of the node for data transmission loss of data. So, the question of energy consumption becomes a research focus in the field. Through the architecture of wireless sensor network and the analysis of the wireless sensor network protocol stack, according to the characteristics of the wireless sensor network (WSN) and energy optimization strategy of background points out the necessity of energy optimization. By analyzing the energy consumption of wireless sensor network, the wireless sensor network energy optimization strategy is given.

This paper presents an Embedded Smart Home system solution using wireless sensor network (WSN). The Smart Home system can be sectioned into four parts: wireless sensor network, embedded smart control centre, Server and Client. The major technical of the wireless sensor network is ZigBee. The wireless sensor network includes coordinator node and Sensor node. It is developed based on the Z-Stack protocol stack and the wireless chip CC2530. It is mainly responsible for collecting the environmental parameter of the house and controlling the electrical equipment in the house. It can also support the RFID access control and camera monitor. The control centre communicates with the wireless sensor network by the serial port. It communicates with Server by the TCP socket and transmits data to each client, or communicates with the client by using the wireless communication module directly. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.

Focus on the character of energy harvesting sensor network in heterogeneous sensor network and some shortage in SEP algorithm, an improved algorithm for EH-SEP is been proposed. EH-SEP considers both residual energy and energy support of nodes in cluster-head election process .Improved algorithm achieves higher probability that the advanced nodes with high residual energy to be cluster-head, and lower probability that the traditional nodes with low residual energy to be cluster-head. During the state of data sensing, this paper adopted multiple hop data transmission to avoid long distance communication between the cluster head and base station, so it can improve the network energy utilization. The simulation result shows that: EH-SEP algorithm is not only suitable for energy harvesting of wireless sensor network, but also effectively prolong the work time in the network stable stage.

Constructing a hybrid wireless sensor networks comprising a mix of static sensors and mobile sensors can achieve a balance between improving coverage and reducing the cost of the network. In order to achieve high network coverage, mobile sensor move from a small to a big size of coverage hole in the hybrid wireless sensor networks. Due to the energy of the mobile sensor is limited, how to reduce the moving distance of the mobile sensor and reduce the energy consumption in the process of moving is a very important issue. This paper proposes a distributed minimum cost matching algorithm (DMMA) to redeploy mobile sensor, which can make the level of network coverage to meet the requirement of the environment, while effectively reducing the number of sensors. In our method, static sensors detect coverage hole by Voronoi diagrams, coverage holing sensors and mobile sensors by using DMMA to excellently heal the large coverage holes. Simulation results show that our method can effectively improve the coverage rate of the WSNs, while save the energy of mobile sensors.

Multimedia sensor network is regarded as a brand-new information acquisition and processing technology. It pays more attention to acquisition and processing of audio, video, images and other media with large data size and large information content compared with traditional sensor network. The network has broad application prospects. In the paper, intelligent warehouse monitoring system based on multimedia sensor network integrating multi-sensor sets, distributed processing and event-triggered monitoring is designed and developed. The system is based on construction of wireless sensor network and video monitoring network. Wireless sensor network is established by scalar sensor nodes by using IEEE 802.15.4/ZigBee protocol, and it is responsible for collecting and processing scalar data, and transmitting results to sink node. Video monitoring network is composed of multimedia sensor nodes by using Ethernet. Monitoring data, compressed video/audio streaming and other multimedia data of sink node on wireless sensor network are sent to the monitoring center and users. The system can better provide warehouse environment parameter monitoring, event-triggered or continuous remote monitoring functions.

Sensor positioning is a fundamental block in various location-dependent applications of wireless sensor networks. In order to improve the positioning accuracy without increasing the complex and cost of sensor nodes, an improve sensor positioning method is proposed for wireless sensor networks. In the method, after receiving the broadcasting message of the neighboring anchor nodes, the sensor nodes calculate a modifying factor of the change of the signal strength. And they modify the distances between themselves and neighboring anchor nodes with the modifying factor. Simulation results show that the proposed method can obtain a high positioning accuracy.

The internet of things (IoT) is developing very speedily. Wireless Sensor Networks (WSNs) are the perception foundation. It is inconvenience to recharge sensor batteries frequently and the sensor power resource is limited in the WSNs. Therefore, one of the most important problems about a WSN is to save energy. To overcome this challenge, a great deal of algorithms was developed in the last few years such as DYCTC. In this paper, we propose RD-LEACH algorithm. Data transmission depends on the residual energy and the distance between the nodes. It can reduce the number of data sent. It solves effectively the energy saving caused by the invalid send and avoids cluster heads concentrate in a small network. Tests show that this algorithm can save approximately 18% of the energy and prolong the network lifetime under the premise of the network connectivity.

The paper designed a safety monitoring network system which is composed of the wireless sensor network based on the emerging wireless communication technology.Tests indicate that the system runs well with small consumption and good mobility, and the data can be uploaded to host computer for real-time display and record so that it can provide effective help to quickly carry out rescue work.

According to the characteristics of piggery, such as complex environment, numerous control objects, complex wiring, a piggery environment control system based on wireless sensor networks was designed. This system consisted of the wireless network composed of various devices and sensors in piggery, the control center with ARM-LINUX and the remote control center. The energy of sensor nodes was offered by batteries in wireless sensor networks so that the power source was limited. In order to strengthen the node energy management, the LEACH algorithm was combined with AODV routing protocol, and a new optimization algorithm called LEACH-A was proposed in this paper. The wireless sensor networks execution process was divided into two phases, including cluster building and data transmission. In the two phases, the node residual energy was calculated by a weighted function and the cluster head role was changed by the size of remaining energy. NS-2 simulation results show that the proposed algorithm prolonged the lifetime of the nodes and the networks, and realized the energy optimization management.

Wireless Sensor Network (WSN) is becoming increasingly important for environmental monitoring.However, there is seldom applications that address the data sharing standard and interoperability among different applications.In this paper, we present a gateway system for wireless sensor network based on environmental monitoring. Resource sharing and long-distance accessing are important issues for application of wireless sensor network and environmental monitoring.

This paper analyzed wireless sensor network simulation technology. We discussed the principles of wireless sensor network simulation based on NS2 and constructed a visual simulation model for wireless sensor networks. By adding NS2 protocol and setting the sensor nodes and some simple parameters, the system presented the running process and the performance of the network in the form of animation and graphics. The results show that this method simplifies the process of simulation of wireless sensor networks, and improves the efficiency of wireless sensor networks research and development, which provides support for the development of application-oriented networking of wireless sensor networks.

As far as the large-scale video surveillance sensor network in urban road and highway, the relay-surveillance on abnormal behavior or particular targets is one of the hot focuses of in recent researches, while the establishment of adjacency relationship of the neighbor sensor nodes is the basis of the sensor scheduling for the relay-surveillance. The topology of a road network is generated according to the road information, which has already existed in the geographic information systems (GIS) regarding the road intersections as nodes and the section between the two intersections as the edge. The initial topology of relay-adjacency relationship between sensors is built by that each video sensor is deployed at the each intersection and the section of the each two intersections is regarded as the basis of adjacency between the each two sensors. When a new video sensor is to be deployed in a section of a road, the related deployed sensors in same section are searched by using the spatial index of GIS based on its GPS information, and then the adjacency relationship between the new sensor and the related ones is generated by using the sorting algorithm according to their GPS information. By using the road network information that has already existed in the GIS system, the algorithm on establishing the relay-adjacency relationship of video sensors is simple and simpler to implement, and it can be used in the construction of sensor relay-surveillance topology such as automatic real-time tracking on abnormal behavior or the analysis of the escape routes and so on in city roads, highway, smarter cities and smarter planet.

Modern micro sensor has low cost, low power characteristic, it can realize the wireless communication and computing performance, a large number of the sensors organizations constitute the wireless sensor network. This paper realized the design of wireless sensor network positioning system based on CC2430 using Zigbee technology and RSSI ranging technology. Through the experiment test, the technology improved fixed position accuracy and resistance to environment base on RSSI calculate method.

With the constant enlargement of the range of application of wireless sensor network, extending wireless sensor network’ life cycle has attracted more and more attention under the circumstances of limited node energy. On account of three-dimensional space background for the environmental monitoring of high buildings, this thesis put forward an improved energy-saving optimum algorithm of LEACH: improving probability of high-energy node elected as cluster head during cluster head election; selecting a network with the minimum communication cost. The simulation experiment indicates that under the layout of three-dimensional space, improving algorithm makes the load of wireless sensor network more balancing, and extending network’ life cycle. what’ s more, simulation result, in a way, serves as theoretical basis for a further study on the life cycle of wireless sensor network.

In this paper, according to the needs of the application, discussed the necessity of constructing the database of wireless sensor network, and analyzes the difference in function of the traditional database management system, and the problems faced in the implementation; the architecture of the system is analyzed in detail, including the database and network node on the function composition, and between nodes cooperate to complete the key technology of query.

In this paper, with the development of Information technology, application service between IT and traditional industry has been on the rise. And there are many on-going discussions actively regarding the Air quality system based on wireless sensor network which monitors and control the industrial environment automatically and manually with the application service of detecting harmful gas. In this thesis, operation program constitute the administrator monitoring device, which collects data from sensor node of wireless sensor network and sensor node and transmits environment information to display and server. Also for remote monitoring, user operation program constitutes based on PC/Smartphone Under this, the harmful gas which is made in daily life is measured. Real time monitoring system based on wireless sensor network is designed and realized.

This paper design and realize a uplink single hop and multi hop data transmission using the Zigbee technical, and the system can realize the downlink overall and single equipment control network. The Wireless sensor network system is mainly used in data transmission and control. The network is debugged and tested. The final network operation and the test results show that the overall network running in good condition, the design realizes all functions and achieve the desired results.

Energy saving is the nature of the optimal balance between the optimization of performance and energy consumption. Due to the node's mobility of large-scale wireless sensor networks and the depletion of electrical energy causing the failure of communication path and network segmentation mong nodes, and because energy consumption of nodes is mainly its communication, to design the routing with energy saving, low latency, extensibility and improving the fault-tolerance is particularly important. Based on the large-scale wireless sensor networks, mainly through introducing the methods of nonlinear modeling, this paper analyzes the fine-grained mapping between the system of energy consumption and software, builds and optimizes the software model of energy consumption and energy consumption-balance model of service quality, and commits to form an effective energy saving to lay a foundation for construction of low energy consumption of wireless sensor network. Research achievement has significant theoretical and application value in public safety, disaster prevention, ecological and environmental protection, urban management, smart home, intelligent transportation, medical and health care, industrial monitoring, green agriculture and other fields.

In this paper we design a wireless sensor network of Zigbee technology, which consists of sensor nodes, sink nodes and monitoring software design. Through laboratory test, the design of the system is stable and reliable. Although the system can meet the requirements of Zigbee wireless communication hardware, but part of system hardware is relatively simple. If it is applied to the more complex place, we must add the corresponding module in the hardware and software. Adding node function module and the monitoring function in the Zigbee wireless network, it will meet the actual needs.

According to these constrains that wireless sensor networks are composed of many wireless nodes with limited power, a new energy efficient cluster-based distributed consensus kalman filtering algorithm is proposed in this paper. In this algorithm, each cluster contains a cluster-head and some member nodes where the cluster-head is used to fuse data which come from member nodes and consensus process between neighbor cluster-head. This clustering method divide wireless sensor networks into two classes of networks: cluster units network and cluster-heads network. In this way, numbers of information transmission among nodes are reduced efficiently and communication distances among nodes are also shortened. As a result, node’s energy in wireless sensor network can be saved greatly. Moreover, Gossip algorithm is introduced to deal with the consensus problem between cluster-heads for improving power consumption and the convergence analysis for the algorithm which is given by applying to graph theory and matrix theory. Finally, a simulation example is given to show the effectively of our method.

For artificial irrigation in excess or deficiency, not timely and other shortcomings, the paper expounds the application in agricultural and landscape irrigation system based on the wireless sensor network and single chip computer; at the same time the paper designed system architecture of automatic irrigation system based on wireless sensor network. The hardware of the system adopts CC2430 single chip microcomputer as control core, by the real-time acquisition and processing of data in wireless sensor networks, the control data by wireless way is sent to the irrigation controller. The system can real-time monitor the soil temperature and humidity changes, r realize fine flower required and efficient use of water resources.

For large-scale structural damage in various forms, a single regional monitoring is difficult to finish. The paper introduces a design method of a large-scale structural health monitoring system based on wireless sensor networks. ZigBee wireless communication technology is used for the system. The ZigBee-based double wireless sensor network architecture is designed. The wireless sensor node, sink node, a gateway node of this system is designed by using the CC2530 chip as core of data processing and wireless transceiver. In the IAR development platform, the lower position machine software is designed by using C language and the LabVIEW is used to finish the remote display in the host computer. The results show that the monitoring system meets the design requirements, has the advantage of good on-line and real-time monitoring etc.

The wireless sensor module is the thing networking technology first floor technology base, the wireless sensor module uses the battery power supply generally, this requests it to have the low power loss characteristic, requests when generally the work long must amount to for several thousand hours.This article introduced in the wireless sensor module design process, in view of its low power loss request, the technology which uses in the software design.

As an important application of Internet of Things , Wireless Sensor Networks utilized in surveillance and other case.Localization of nodes in wireless sensor networks is the prerequisite and base of target tracking in some surveillance applications, so localization error of sensor nodes is a key. However, due to limited energy, unreliable link and limited communication ranges of sensor nodes, high accurate positioning is difficult to achieve, which made it hot and full of challenging for wireless sensor nodes to localize without any auxiliary facilities. Range-based localization algorithm , could achieve good accuracy but require measuring devices, thus it is not appropriate for large-scale wireless sensor networks.So range-free localization algorithms are more popular.This paper analyses the algorithms in range-free localization,and proposed Advanced Sequence-Based Localization algorithm to improve the performance of positioning algorithm in wireless sensor network.

In order to monitor a wide distribution, quantity, long working hours for industrial electric equipment, this paper provides a solution based on Zigbee wireless sensor networks. The core CC2530 chip is the control center of the entire system, and holzer sensor is selection as a current sensor. Through the wireless network which is composed of terminal nodes, routing nodes and coordinator, the collected data is sent to PC terminal and displayed. The experimental results show that the wireless sensor network can effectively and reliably collect current harmonics of electric equipment and transfer to the PC terminal in time.

The paper proposed a design scheme of wireless sensor network border router based on IPv6. Project mainly expounds the realization of hardware and software design of boundary router, focuses on wireless sensor network IPv6 protocol stack adaptation layer design based on. Through the data packet fragmentation and reassembly mechanism as well as the header compression scheme, adaptation layer of protocol stack to achieve the transmission of IPv6 data packet in the IEEE in 802.15.4 link. The experimental results show that, this scheme realizes the seamless integration of wireless sensor network and IPv6 network, data transmission is reliable, practical application value.

Energy-efficient is one of the main problems among all the problems in mobile wireless sensor networks, for improving the energy efficiency of the nodes in the multicast environment and complete the communication works with the minimum cost, we present a based on energy-efficient opportunistic multicast routing for mobile wireless sensor networks. In order to increase the reliability of links, we use opportunistic routing and collaboration mechanism to realize the routing method, and then use the path aggregation to reduce the energy consumption of the whole network. The results of simulation show that, the method presented in this paper is effective in reducing the consumption of links cost.

Recently, with the rapid development of the Internet industry, wireless sensor network technology has received much attention of researchers both at home and abroad. Wireless sensor network node has become one of the basic researches of wireless sensor network. Because there are many problems to be solved, such as a balance of power, transmission efficiency, routing mechanism, cost control and node management, it also has always been the hot spot of the researchers. Wireless sensor network applications, such as navigation guides, object recognition, object positioning all require information service based on location, so wireless sensor network positioning technology is the precondition of the application implementation.

Wireless Sensor Network (WSN), which integrates wireless communication, sensor, network and embedded technologies, is a new data collection network system. It is a new information acquisition and processing technology. Because WSN can operate in a wireless environment, it can be deployed in areas inaccessible to human beings or difficult to install wired network. It has been widely applied in many areas such as medical, transportation and military thanks to its robustness. The new design of embedded wireless sensor network has resolved the issues of limited monitoring area and difficult control management. The test results indicate that this new design of the embedded wireless sensor network is capable of real-time control management in an expanded monitoring area.

Due to emerging technology Wireless Sensor Network (WSN), it is necessary to monitor the behavior of sensor nodes and establish the secure communication in network. Security is a challenging task in wireless environment. Several encryption mechanisms are available to prevent outsider attacks, but no mechanism available for insider attacks. A trust model is a collection of rules used to establish co-operation or collaboration among nodes as well as monitoring misbehavior of wireless sensor networks. Trust model is necessary to enhance secure localization, communication or routing, aggregation, collaboration among nodes. In this paper, proposed a behavior based distributed trust model for wireless sensor network to effectively deal with self-ish or malicious nodes. Here, take multidimensional trust attributes derived from communications and networks to evaluate the overall trust of sensor nodes. It monitors the behavior of nodes and establishes secure communication among networks.

With the rapid development of computer technology,wireless sensor network (WSN) is widely used in many fields of society, This paper introduces the characteristics of wireless sensor network and its routing protocol. Based on the hierarchical model, a dynamic selection of the sink node and the hierarchical model of multipath routing protocol is proposed which can balance the energy consumption of nodes, and it also can prolong the network lifetime, improve the data transfer rate.

A wireless sensor network (WSN) consists of large number of autonomous sensors nodes; these nodes communicate with each other in dispersed manner to observe the environment. WSNs become one of the most important researches in modern communication systems. The energy source of nodes is limited and practically it is impossible to change or charge the battery. In order to save energy and increases the life time of battery in WSNs. Many energy routing protocols using the clustering were proposed in the literature. Low Energy Adaptive Clustering Hierarchy (LEACH) is the most famous routing protocol. In this paper we propose a new algorithm to choose the cluster head which has the highest energy. We shared the network to four regions, between them 90° for each part we find the powerful sensor between the sensors groups, and this last will be the cluster head of this round. Each sensor sends its data to the nearest cluster head and this last will send it to the sink. The same work for five and six clusters heads with sink in the center and in the corner (100, 0) is done.

According to the multilayer sensor network structure of mobile nodes, proposing a coverage optimization control policy based on voronoi division. Based on the mobile policy of Sink nodes by the voronoi division, the essay proposes a coverage optimization control algorithm (COCA) based on coverage hole calculating to optimize the initial random deployment of sensor nodes, and then to eliminate coverage holes and improve the coverage performance of network. Simulation results show that, compared with the random deployed network, the COCA algorithm only requires fewer nodes to achieve a higher coverage ratio and to maintain in low energy consumption, which embodies optimum performance of the network deployment.

Along with the once again leap development of science and technology, wireless sensor network technology by a great number of agency predicted to be the core technology of power to change the world, has become the one of the important research field both at home and abroad, has wide application background. It is in special scenario application especially, due to the special restrictions on target area, making the advantages of wireless sensor network system well. In this article, through the research of wireless sensor network system, key technologies and difficulties in the design of the Internet of things system for wireless sensor network solution, and describes in detail the system each function module in detail.

The wireless sensor network represents an exciting development that has the potential to be integrated into an aircraft environment for structural health monitoring. Critical event-triggered transmission scheme were illustrated and applied to prolong the battery lifetime and balance the power-performance tradeoff. The experimental results show that the wireless sensor node using this technology is a powerful solution for aircraft SHM.

The control of mobile coverage model is the focus research of wireless sensor network. If a node can balance the network load according to the network needs, which can greatly reduce the consumption of the network, improve the network transmission efficiency and prolong the network life cycle. Accordingly, this paper uses probability coverage principle to improve multilevel mobile sensor network model, which improves the mobile sensor network coverage and enhances the energy-saving effect of the network nodes. In order to verify the effectiveness and reliability of the multilevel mobile sensor network model, this paper uses MATLAB simulation platform to test the performance of network, and design the control program of node region division and moving path for mobile sensor network, which realizes the node automatic classification and moving. Finally, this paper utilizes the Plot curve of MATLAB to obtain the coverage rate of multilevel mobile sensor network and the curve of energy saving changing with the number of nodes. It provides a theoretical reference for the research on mobile sensor network.

This paper proposes a new wireless sensor routing algorithm by combining the ant colony algorithm with the mobile agent technology. This algorithm considers the distance and path energy overhead among nodes and residual node energy, equalizes the energy overhead in the network, improves the update rule of the ant colony information elements and speeds up convergence of the ant colony algorithm to get the optimal values. The simulation results indicate that this algorithm can improve the globalization and convergence speed, effectively reduce redundant data transmission and communication overhead, extend the network lifecycle and be very suitable for a large-scale wireless sensor network compared to other mobile agent routing algorithms.

This paper presents a data fusion method on wireless sensor network based on radial basis function neural networks. In consideration of the hierarchical relationship topology wireless sensor networks, data acquisition, handling and delivery, we proposed a typical classification approach based on radial basis function neural networks. Optimization strategy adopted to process node data for each node indicated different reaction related with energy consumption. Simulation results verify that the method converges fast and effectively.

The design of S-MAC protocol focuses on how to save energy effectively , how to adapt to the requirements of network scale, node density and topological structure change , and equality, throughput, and bandwidth utilization efficiency are placed on the secondary position This paper points out the classification, basic principal, main mechanisms and key technology of a wireless sensor network MAC protocol.

The communication security problems for wireless sensor networks are exacerbated by the limited power and energy of the sensor devices. The focus of this paper is to design a lightweight group key management scheme to safeguard the data packet passing on the sensor networks. The design of the protocol is motivated by the observation that many sensor nodes in the network play different roles. We describe the design and implementation of establishing different pairwise keys based on LEACH. The protocol contains group communication policies, group membership requirements for secure communication under different types of attacks.

How to use the least nodes to complete the monitoring task is an important problem about deploying in wireless sensor networks (WSN). We present MBT algorithm, base on Monte Carlo method combines the edge betweenness and signal transition distance, in order to study sensor node deployment problem. The proposed algorithm of sensor node deployment can meet the demand or the monitoring accuracy requirement of the premise, and reduce the number of nodes. Simulation experiments show that MBT algorithm can reduce the required nodes of deploying.

Nodes in wireless sensor network have limited power supply and wireless channels between them are sensitive to interference. In order to make good use of the limited energy, a routing algorithm is proposed which uses the Ant Colony Optimization Algorithm to balance the load of the network and extend the network life, the proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster heads．Simulation results show the feasibility and effectiveness of this algorithm．

Through the process of establishing energy cluster type of network routing layer analysis, design and implementation of energy optimization methods at all stages of the path to create, In this paper, laid separately from the mobile sensor nodes in sensor nodes, and even moving the position of the cluster point sink to optimize the energy consumption of the network in order to obtain maximum network cycle, these strategies have received a certain effect, but if from the sensor energy consumption of the network to optimize the balance, then the network will be extended for longer period.

This paper introduces the design and implementation of the safe transmission mechanism of wireless sensor network. This scheme is aimed at reducing node’s cost of computing and communication. Firstly, the WSN will be clustered. Then, encryption key will be generated in the clusters, which is used of data encryption and decryption based on nodes identification to ensure data security. The system uses the wireless microcontroller CC2430/CC2431 to perform the simulation testing for program modules of Chipcon, which integrates CC2420RF wireless RF transceiver. Experimental results show that the new algorithm can increase traffic, node utilization and improve the confidentiality and security of sensor information.

Nowadays, with continuous progress in Ad hoc technology, Ad hoc network is no longer limited to some specific areas, furthermore is integrated with mobile communication to expand application scope. Three key factors affecting the quality of routing is enumerated and analyzed in detail in this paper. Among previous research on the integration of Ad hoc networks and mobile communication system, most of them are based on a single factor analysis, not comprehensive analysis. So aiming at this disadvantage, a novel concept, namely optimal routing function, is suggested on the basis of comprehensive consideration of three key factors.

Wireless sensor network (WSN) is the network which is composed of a large number of intelligent sensor nodes, it has the ability of self-organizing network routing, therefore, it has been widely used. Building wireless sensor networks is the key to WSN nodes. This paper introduces the basic structure of wireless sensor network node based on ARM, and it delivers a detailed analysis on the operating features and the CC2480 hardware interface of the ZigBee processor, what’s more, it specifically talks about the implementation of the Wince driver of WSN nodes.