An Energy-Efficient Data Gathering Scheme for Unreliable Wireless Sensor Networks Using Compressed Sensing

The main task of wireless sensor network (WSN) is to collect data from the environment. Sensor nodes usually are powered by batteries with extremely limited energy, which makes energy conservation critical for a WSN to run longer. The energy-efficient Data Gathering Scheme based on Compressed Sensing (DGS-CS) is presented, which enables the sensor nodes to efficiently and evenly expend energy so that the lifetime of the WSN is prolonged. The maximum, minimum, and average energy consumptions of the proposed DGS-CS and those of the Traditional Routing Scheme (TRS) are derived. The numeric analysis shows the proposed DGS-CS outperform the TRS in terms of energy consumption.