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Wireless sensor networks are increasingly used in a wide range of potential applications, including security and surveillance, control, actuation and maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. The nature of wireless sensor networks makes them very vulnerable to attack. The mobile nodes are randomly distributed, there are no physical obstacles for the adversary, therefore, they can be easily captured, and attacks can come from all directions and target any node. Consequently, security of wireless sensor networks (WSN) is the most challenging for this type of network. Intrusion Detection Systems (IDSs) can play an important role in detecting and preventing security attacks. In this paper, we propose a lightweight intrusion detection system for sensor networks. Our intrusion detection model exploits advantage of support vector machine (SVM) and signature model to detect malicious behaviors and provide a global lightweight IDS in cluster based topology. The proposed model can detect and prevent most of routing attacks. [ABSTRACT FROM AUTHOR]

Wireless sensor networks (WSNs) constitute a main component of Internet of Things (IoT) that is emerging as an attractive paradigm. In this paper, we propose a novel dual-radio architecture by adding a high-bandwidth radio on every sensor node. In WSNs, each sensor is equipped with two radio interfaces: the low-power IEEE 802.15.4 radio used on all sensors to transmit data within the network and the high-bandwidth 3G /LTE radio activated only on a subset of sensors, referred to as gateways, for sending data to the IoT. given the traffic demand for each sensor nodes, the number of gateways to deploy and the interference model, we propose a novel deployment method for placing optimal number of gateways in the WSNs where sensor nodes can join the IoT through the network's gateway, such that the lifetime and total throughput that can be supported is maximized while it also ensure a fairness among all sensor nodes. Due to the NP- hardness of the problem, we then propose a novel heuristic by decomposing the problem into two sub-problems and solving them separately. From our extensive simulation conducted, using ns-2, we identified that our model improves network performance, including the network lifetime prolongation, throughput maximization, network scalability improvement, the average data delivery delay reduction and lead a high traffic load to meet the diverse application needs of WSNs. [ABSTRACT FROM AUTHOR]

One of the main challenges in wireless sensor networks (WSN) is to save severely constrained energy resources, obtain long system lifetime and to guarantee quality of service (QoS). In this paper, a novel energy-aware coverage and connectivity preservation routing protocol (ECCRP) is presented to maximize the working time of full coverage in a given WSN regardless of the deployment patterns of the sensor nodes. The basic idea of the proposed ECCRP protocol is to take the remaining energy of the nodes, coverage redundancy of its sensing ranges and Euclidean distance between nodes and the optimal location of gateways into consideration when selecting gateways and cluster-head nodes. We define a cost metrics that favors those nodes being more energy-redundantly covered as better candidates for cluster heads in a way to determine an energy-efficient route for a data from elected cluster head to the base station through elected gateway. The simulation results demonstrate that the proposed protocol improve the performance of sensing coverage, reduce communications energy, prolong the effective network lifetime with optimal data delivery, increase the duration of the on-duty network and provide up to 139.90% of extra service time with 100% sensing coverage ratio comparing with other existing protocols. [ABSTRACT FROM AUTHOR]