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The accurate position of nodes in Wireless Sensor Networks (WSNs) is considered a critical problem in the majority of the Internet of Things (IoT) applications. Recently a large number of contribution in localization have been recommended to determine the location of nodes. However, a number determinated of these techniques have been presented to precisely determine the nodes locations in the IoT. In this work, we discuss the new three localization techniques, named Centroid + 4A, ICentroid, and ICentroid + 4A respectively, based on the Centroid localization technique and a new weighted formula to estimate the target nodes’ positions. The OMNeT++ network simulator was used to figure out and the performance of the discussed solutions in comparison with the Centroid localization technique. The examined results reveal that a significant improvement in the localization precision of the discussed contributions in Wireless Sensor Networks.

Localization phase for sensor nodes is considered as the most important service for many applications of IoT. In the last decides, many localization algorithm have been presented to provide location of sensor nodes, but a limited number of these algorithms have been introduced to accurately estimate the location of sensor nodes in the Internet of Things (IoT). In this paper, we propose localization algorithms for sensor nodes in WSNs. The algorithms based on Centroid localization algorithm for Internet of Things. The Proposed algorithm is based on the new weighted formula to calculate the position of unknown nodes. Our presented algorithms guarantee that the nodes estimate their own position with a butter localization accuracy in comparison to the Centroid algorithm and DV-Hop in all considered scenarios. Moreover, the proposed simulation confirms that the introduced algorithms can significantly enhance the localization error and of algorithms in Wireless Sensor Networks.

Smart Grids (SG) have emerged as a remedy for the constantly increasing demand on energy. Control is and will continue to be the most crucial element in a SG. The integration of renewable energies and smart devices opened the door for many controllers to be used in order to help fulfill the objectives of SGs. These controllers are used to control and monitor the energy produced by the renewable sources, the energy consumed by the different loads and appliances, and the energy flow between the electrical grid, the storage module, and the produced energy. In this paper, we are presenting an architecture of a real-world SG featuring the NI CompactRIO controller. The SG is deployed in a university campus as a testbed. We are also describing a control algorithm based on a state machine deployed in the NI CompactRIO controller using the LabVIEW programing language.

In most of Wireless Sensor Network (WSN) applications, it is important to associate each event’s information with its location’s information. If sensors are accurately located, the identified event (e.g., fire, accident) could be of most important in order to figure out and understand the context or situation. However, sensors localization is still an important issue in order to develop context-driven applications. This paper introduces a new scheme for sensor nodes localization in three-dimensional WSNs, denoted 3DeDV-Hop. We have implemented both algorithms the 3DeDV-Hop and 3DDV-Hop in OMNET++, and studied their performance in three dimensional wireless sensor networks. Simulation results show that the 3DeDV-Hop outperforms the basic 3DDV-Hop localization algorithm in terms of localization accuracy and the number of localized nodes.

Smart Grids (SG) are emerging as a very promising technology meant to cope with the stringent worldwide demand on energy and on relevant ecologic measures. At the heart of the Smart Grids lie Smart Buildings (SB). SB are the building blocks of SG. Either residential or industrial, SBs are consuming most of the produced electrical energy. However, and in the context of SG, SBs are meant to produce energy as well and contribute to stabilizing the Demand/Response (DR) variance whereby produced energy is injected back into the SG. This occurs mainly in case of energy shortage in the main SG or in case of excess in energy production. To leverage “smartness” in buildings, continuous data monitoring (e.g., energy production/consumption levels) using wireless sensors, and real-time dissemination/processing of this data, is essential. To further boost buildings’ smartness, deploying context-awareness, whereby electrical appliances can be switched On/Off depending on context (e.g., presence and ambient temperature), would bring considerable added-value. In this paper, a blueprint for deploying a real-world SB testbed is presented.

Localization phase for sensor nodes is considered as a critical issue for Static and Mobile Wireless Sensor Networks (SWSNs & MWSNs) for Three-Dimensional (3D) in last decides. Several localization techniques have been introduced to provide position of sensor nodes, but a limited number of these algorithms have been proposed to accurately estimate the location of sensor nodes for mobile wireless sensor networks for three-dimensional. In this paper, we propose localization algorithms for mobile nodes in 3D. The algorithms based on DV-Hop and EDV-Hop techniques. The selected model is Random Way Point Mobility model. Our presented algorithms guarantees that the nodes estimate their own position with a butter localization accuracy in comparison to static scenarios. Moreover, the proposed simulation confirms that the introduced algorithms can significantly improve the localization error and localization coverage of algorithms in Mobile Wireless Sensor Networks for nodes in a Three- Dimensional.

Geographic routing protocols have been developed to increase the effectiveness and the usefulness of wireless sensor networks in many emerging applications. In these protocols, the routing decision, at each sensor node, is based only on the positions of the destination node and forwarding node's neighbors. However, these protocols are based on exact sensors position, assuming that sensors are equipped with a geographic positioning or a localization-based technique. Recently, several techniques, such DV-Hop, have been proposed for estimating sensors' positions. This paper introduces an integrated geographic routing protocol by integrating both sensors' position estimation and geographic routing techniques. We have mainly combined DV-Hop for estimating sensors position and the greedy perimeter stateless protocol for data forwarding and routing. Simulations have been carried out and results are reported to show the efficiency of the proposed hybrid geographic routing protocol in WSNs.

Geographic protocols have been recently developed for data routing in wireless ad hoc networks. These protocols are based on the exact location of each sensor node, by assuming that sensor nodes are equipped with geographic positioning services or localization-based techniques. At each node, the routing decision is based only on the position of the destination node and the position of the forwarding node’s neighbors. Location-based techniques, such DV-Hop, have attracted a lot of interest in order to estimate nodes positions. In this paper, we evaluate the performance of DV-Hop localization technique for estimating nodes localization and integrate it within the greedy perimeter stateless routing protocol. Simulations have been conducted to show the effectiveness of using localization-based techniques when integrated into geographical routing protocols for wireless sensor networks.

With rapid advances in nanotechnologies, Wireless Nanosensor Networks (WNSNs) have been emerged as a typical subclass of WSNs but at nano-scale. WNSN is a new communication fabric that allows nanonodes to connect to each other using new mechanisms such as molecular (or chemical) and electromagnetic. Unlike traditional WSNs, nanonodes are tiny with limited resources (e.g., computation, memory and energy) and therefore, are not able to communicate with the destination node using a single-hop scenario. The flooding mechanism, in which each node rebroadcasts the message once, was adopted for broadcasting in electromagnetic-based WNSNs. While the flooding mechanism is very simple, it is not efficient since most of the nanonodes are expected to rebroadcast a message at the same time, thus collisions are likely to occur. Furthermore, the excess number of rebroadcasts increases resources utilization that affects the network performance and increases energy consumption. In this paper, we investigate the flooding algorithm in the context of WNSNs and compare it with counter-based and probabilistic-based broadcasting mechanisms that are proposed for MANETs.

Localisation precision is one of the predominant challenges in static and mobile wireless sensor networks. It is a critical issue to be tackled when developing applications that rely on this type of networks. This paper presents three localisation techniques, named eDV-Hop1, eDV-Hop2, and eDV-Hop3, based on geometry principles. The performance of these techniques was evaluated using the network simulator (OMNeT++) and compared to the basic DV-Hop, iDV-Hop1, and iDV-Hop2. Results show that significant improvement is obtained in terms of energy consumption and localisation error according to several parameters, mainly the number of sensors, the number of anchor nodes, and the communication range of sensor nodes.

In wireless sensor networks, several localization algorithms have been proposed to accurately locate nodes. These algorithms can be categorized into two main families: range-based and range-free. Algorithms using the range-based technique are mainly based on exact computation of the distance or the angle between two nodes (i.e., transmitter and receiver) in the network. Thus, the position can be obtained using trilateration or triangulation. Methods using the range-free technique, however, use only the network connectivity information between nodes. Nodes use the positions of the anchors; no measure of distance or angle is used. Therefore, these algorithms can only provide estimated nodes positions. In this paper, we focus on algorithms that use the range-free technique, especially DV-Hop algorithm, and we present an improved DV-Hop localization algorithm for WSNs. Simulation results show that the proposed algorithm can reduce the localization error.

Mobile devices have become indispensable tools equipped with different types of sensors that are changing our lifestyles. combined with wireless sensor networks, the information collected will help solve problems that citizens face each day while living together and getting around in public areas. This paper presents our proposal regarding the use of the distributed platform “Kalimucho” to develop context-aware applications for smart cities where different heterogeneous devices will work together to improve the quality of life of citizens.

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