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The use of Wireless Sensor Networks (WSN) is anticipated to bring lot of changes in data gathering, processing and dissemination for different environments and applications. Energy consumption is the most crucial design issue in WSN. In order to solve the issue and prolong the network lifetime, energy resources of each node in WSN need to be effectively managed. With respect to energy efficiency,...
This paper proposes a novel algorithm to improve the lifetime of wireless sensor network. This algorithm employs compressive sensing in conjunction with Particle Swarm Optimization algorithm to decrease the communication rate and to build up the data aggregation trees respectively. We build up the data aggregation tree in a way that it can be utilized to maximize the efficiency by rectifying the delay...
To prolong the lifespan of wireless sensor networks, while working with the limited battery life of each sensor node, energy efficiency and energy balance are basic considerations. To achieve balanced energy consumption, non-uniform distribution methods are proposed as a network infrastructure modeling scheme. However, node transmission distance, which has significant relevance with energy efficiency,...
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