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In wireless sensor network (WSN), during fault detection and recovery, average energy loss, and message loss occurs including the link failure. Also, the number of faulty nodes and the traffic overhead is increased with the size of WSN. In order to overcome this issue, in this study, a cluster-based fault tolerance technique using genetic algorithm is proposed. Here the network is clustered according...
A cluster-based model is preferable in wireless sensor network due to its ability to reduce energy consumption. However, managing the nodes inside the cluster in a dynamic environment is an open challenge. Selecting the cluster heads (CHs) is a cumbersome process that greatly affects the network performance. Although there are several studies that propose CH selection methods, most of them are not...
In today's world Wireless Sensor Networks (WSNs) has gained a lot of recognition because of its wide-ranging areas of applications. Sensor nodes in WSNare connected to each other by networks, mainly powered by a battery source. These sensor nodes have lesser amount of power and computational capabilities. Typically, sensor nodes are deployed in remote areas where replacement of their batteries once...
Wireless sensor networks are emerged as a new technology in different applications to get information from environment in recent years. On of the most important challenges in this type of networks is energy shortage of sensors. Where as energy restriction, it should be mentioned a fundamental solution to providence energy consumption. The most suitable solution is clustering. In this paper the clustering...
Nowadays Wireless sensor network becomes more popular among researchers and has many applications. Since the appearance of wireless sensor networks, many researchers are challenging to improve its different parameters. Coverage is one of the important parameters for wireless sensor networks. In this paper we propose a genetic algorithm which is trying to increase members of each cluster by relocating...
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