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This paper proposes a novel data gathering method using Compressive Sensing (CS) and random projection to improve the lifetime of large Wireless Sensor Networks (WSNs). To increase the network lifetime, one needs to decrease the overall network energy consumption and distribute the energy load more evenly throughout the network. By using compressive sensing in data aggregation, referred to as Compressive...
Random walk (RW) routing for monitoring purposes in Wireless Sensor Networks (WSNs) has been proven to be an energy-efficient method. In this paper, we exploit the integration between Compressive Sensing (CS) and RW to reduce energy consumption for such networks. All the sensory data is reconstructed at the base-station (BS) based on a smaller number of CS measurements compared to the total number...
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