Energy-Aware Scheme used in Multi-level Heterogeneous Wireless Sensor Networks

TL;DR

This paper presents a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks that extends network lifespan by intelligently selecting cluster heads based on remaining energy, outperforming existing protocols like LEACH and EEHC.

Contribution

A novel heterogeneous-energy clustering algorithm that incorporates node residual energy to improve network longevity and reduce node failure.

Findings

Increases network lifespan compared to LEACH and EEHC.

Reduces probability of node failure.

Improves energy efficiency in heterogeneous WSNs.

Abstract

The wireless sensor networks (WSNs) is a power constrained system, since nodes run on limited power batteries which shorten its lifespan.The main challenge facing us in the design and conception of Wireless Sensor Networks (WSNs) is to find the best way to extend their life span. The clustering algorithm is a key technique used to increase the scalability and life span of the network in general. In this paper, we propose and evaluate a distributed energy-efficient clustering algorithm for WSNs. This heterogeneous-energy protocol is a new clustering algorithm to decrease probability of failure nodes and in which we introduce the node's remaining energy so as to determine the cluster heads. We study the impact of heterogeneity of nodes on WSNs that are hierarchically clustered. Finally, simulation results show that the proposed algorithm increases the life span of the whole network and performs better than LEACH and EEHC according to the metric:first node dies.