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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...
Given the criticality of energy awareness in wireless networks, it has become essential to devise an improved definition of the network lifetime at the system design stage. The new definition must capture the life profile of the network while accounting for its functionality and specific design parameters. This paper presents the notion of network durability, which captures the spatiotemporal life/death...
Wireless sensor networks (WSN) with hierarchical organizations have recently attracted a lot of attention as effective platforms for pervasive computing. With power efficiency and lifetime awareness becoming critical design concerns, a significant amount of research has focused on energy-aware design of different layers of the WSN protocol stack. However, much less has been done in way of incorporating...
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