Earticle

Compressive Data Gathering (CDG) has recently emerged to provide energy efficient data aggregation in wireless sensor networks (WSNs). Existing CDG is done by forming a span-tree from all sensors to the data sink, which leads to a lot of energy consumption in maintain this tree. In this paper, we present a clustering based CDG scheme for large-scale WSNs. This scheme reduces traditional network communication cost by introducing in-network compression and recovers sensory data accurately by using compress sensing theory. With extensive simulation, we demonstrate that our scheme prolongs nearly 45% network’s lifetime compared with the Hybrid compressive data gathering schemes.