Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

9A Threshold-Based Optimization Energy-Efficient Routing Technique in Heterogeneous Wireless Sensor Networks

Samayveer Singh

Department of Computer Science & Engineering, National Institute of Technology Jalandhar, Punjab, India

Abstract

In wireless sensor networks (WSNs), clustering plays the greatest role for persisting the lifespan of the networks and helps in stabilizing the vitality/energy consumption among the existing sensor nodes of the networks. In this paper, a threshold-based optimization energy-efficient direction-finding technique in heterogeneous WSNs is proposed. It considers weighted election probabilities of sensor nodes for electing the master node/cluster heads (CHs). This method also deliberates an approach for transmission of data among the nodes and clusters and data collection in intra- and inter-cluster communication. The performance of the proposed technique is estimated against that of existing protocols using given performance matrices as network lifetime, network stability period, number of CHs, total energy depletion, throughput, etc. The investigational outcomes demonstrate the lifespan of the network, and the throughputs of the suggested method are increased by 25.03%, 31.76%, and 48.91% and 25.38%, 46.02%, and 67.03% in respect of those of hetDEEC-4, EDDEEC-4, and DDEEC-4, respectively, for 100 J network energy in the case of level-4 heterogeneity, correspondingly.

Keywords: Energy efficiency, wireless sensor network, WSNs, clustering, network ...