Overview

Original Research

ENERGY AND DISTANCE BASED CLUSTER HEAD SELECTION TECHNIQUE FOR OPTIMAL NETWORK LIFETIME IN WSN

ASHA RAWAT 1, and Dr. MUKESH KALLA 2.

Vol 17, No 09 ( 2022 )   |  DOI: 10.5281/zenodo.7116145   |   Author Affiliation: Assistant Professor, NMIMS, Navi Mumbai, Maharashtra, India. Ph. D. Scholar, Department of Computer Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India 1; Assistant Professor, Department of Computer Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India 2.   |   Licensing: CC 4.0   |   Pg no: 1511-1519   |   To cite: ASHA RAWAT, et al., (2022). ENERGY AND DISTANCE BASED CLUSTER HEAD SELECTION TECHNIQUE FOR OPTIMAL NETWORK LIFETIME IN WSN. 17(09), 1511–1519. https://doi.org/10.5281/zenodo.7116145   |   Published on: 27-09-2022

Abstract

In wireless sensor networks, energy efficiency in data processing and transmission is often a critical factor (WSN). As a result, minimizing transmission loss and optimizing network lifetime are critical factors in the design of WSN routing protocols. In this paper, we propose EDCH, an energy and distance-dependent clustering routing protocol based on Low Energy Adaptive Clustering Hierarchy (LEACH) protocols. In one approach (energy-based), we choose a cluster head node by selecting the node with the highest energy as the cluster head. To improve further, we pick a cluster head not only based on residual energy, but also by evaluating the distance of the node from the base station that is greater than the average distance of the nodes in the network. The implementation results demonstrate that the proposed algorithm outperforms a conventional LEACH as well as its alternatives in terms of energy conservation, thus extending network lifetime.

Keywords

Data Aggregation, Energy Efficiency, Residual Energy, Clustering, Wireless Sensor Networks