An Energy-Saving Routing Integrated Economic Theory With Compressive Sensing to Extend the Lifespan of WSNs

A novel intercluster routing which simultaneously takes the energy efficiency in both intracluster and intercluster phases into account is proposed in this article, with the aim of extending the lifespan of the wireless sensor networks (WSNs). In the intracluster phase, the data are acquired based on the compressive sensing (CS) theory to cut down extra energy consumption resulted from spatial-temporal correlation. As for the intercluster phase, the economic welfare theory is applied to balance the energy depletion among different clusters. To this end, a novel concept of energy efficiency welfare (E2W) is proposed to promote energy equilibrium during the process of intercluster routing decision making. Subsequently, an energy-saving intercluster routing integrated economic theory with CS (EIREC) is presented and detailed. Finally, extensive experiments are designed and conducted to evaluate its energy efficiency. Comparisons with the existing clustering and CSbased strategies have verified its effectiveness in improving energy efficiency and extending network lifespan.