ESWCM: A Novel Energy-sustainable Approach for SWIPT-enabled WSN with Constrained MEAP Configurations
Deyu Lin, Zhijie Chen, Xuan Liu, Linghe Kong, Yong Liang Guan
Abstract
Combination with the Simultaneous Wireless Information and Power Transfer (SWIPT) technology is expected as a promising solution to the issue of energy constraint in Wireless Sensor Networks (WSN). However, little attention is paid to the energy sustainability in SWIPT-enabled WSN with limited Mobile Energy Access Point (MEAP) configurations. To this end, a novel Energy-sustainable approach for SWIPT-enabled WSN with Constraint MEAP (ESWCM) configurations is proposed in this paper. To be specific, an Optimal Ring Width Determination (ORWD) algorithm is proposed, with the aim to ensure all the sensor nodes lie in the energy coverage of limited MEAPs from the perspective of the entire network. Subsequently, a GA-based Clustering algorithm constrained by cluster Head (GCH) connectivity is presented to promote the survivability of Cluster Heads (CHs) and the effectiveness of data transmission through reasonable cluster size. Additionally, the optimal parameters of each sensor node are determined through an Energy-efficient Parameter Optimization (EPO) algorithm to achieve energy sustainability of each individual sensor node. Experimental results indicate that ESWCM exhibits higher node survival rate by 124.7%, 2%, 29.9%, and 40.5% compared with LEACH, S-LEACH, R-LEACH, and DEEC after 1200 iterations respectively. Moreover, it also shows a survival rate of 100% after adjustments.