Energy Aware Reliable Sleep Wakeup based Clustering Scheme in WSN

Abstract

Wireless sensor networks (WSNs) are composed of spatially dispersed nodes monitored by sensors that communicate their collected data to a sink node. The primary method used by the WSN to spread the message throughout the whole network is flooding. Retransmission and rebroadcasting of the same message during flooding are important for reliability and energy efficiency. In this paper a novel Clustering and Sleep Wakeup based energy efficient Flooding (CSW-E2F) technique is proposed which improves the network lifetime and reliability. Initially, the proposed technique will form the nodes as clusters using the Gaussian mixture model (GMM). After clustering, the sleeping nodes (SN) and waking nodes (WN) were selected, and the awake nodes will take part in the random cluster head (CH) election process which is done by using the coyote optimization algorithm. After CH selection, the stability of the link has been checked using various parameters which will then choose the best route for message transmission. The suggested CSW-E2F approach was assessed in terms of network lifetime, energy consumption, average delivery delay, network coverage rate, average flooding delay, and throughput. When compared to existing schemes like Evolution Multipath Energy-Efficient Routing (EMEER), Binary Particle Swarm Optimisation (BPSO), and Energy-Balanced Power-Efficient Gathering in Sensor Information Systems (EB-PEGASIS), the proposed CSW-E2F improved network throughput by 17.5%, 19%, and 27%, respectively. The suggested solution exceeds previous approaches in terms of latency and energy cost by about 50% and 60%, respectively, thereby prolonging the system lifetime.