A Novel Energy Efficient Routing Protocol EACBM for Scalable Wireless Sensor Networks

Abstract

Recent advancements in the field of wireless communication results in the improvement of Wireless Sensor Networks (WSNs) having low powered, low cost and smallest multi-operational sensing units called Sensor Nodes (SNs). The limited battery life of these SNs is the major issue of WSNs. The dissipation of SN energy for transmitting information of one SN to Base Station (BS) is the major cause of depletion of SN energy. Also, SNs energy is in direct relation with battery lifetime of WSNs. Due to which WSN is affected in terms of scalability, a lifetime of network and energy efficiency. Many routing protocols have been proposed to overcome this issue and clustering is the most dominant scheme in which the whole network is divided into small clusters. This clustering scheme is based on the principle of divide and conquers along with data aggregation. In this paper, authors propose a new routing protocol i.e. Energy Aware Cluster Based Multi-hop (EACBM) which uses the principle of clustering and multi-hop communication pattern for transferring information to BS. So that minimum SNs energy is consumed and hence increases the lifetime of WSN. It also uses the concept of subclustering to cover those areas of SNs where CH cannot reach to gather information or which cannot take part in any clustering process due to its far away position. Simulation results show that energy efficiency is greatly optimized by reducing the number of transmission distance between CH and BS via multi-hopping. It also shows how network lifetime, packets transmitted to BS and CH and number of dead SNs is affected by scaling i.e. by different network sizes (100*100m 2 ; 500*500m 2 and 1000*1000m 2) in EACBM by comparing it with SEP, LEACH, CEEC and LEFCA routing protocols.

Multi-Objective Clustering Algorithm using Ordered Weighted Averaging (OWA) Operator for Heterogeneous WSN

“…It provides the optimal number of CHs needed, a fundamental data-transmission energy model. Threshold sensitive Energy E cient sensor Network (TEEN) [5], delay-based algorithm [6], Energy Aware Cluster Based Multi-hop (EACBM) [7], and some other clustering algorithms [8-10] were proposed for increasing the e ciency of the WSNs through different techniques. The Multi-Weight Based Clustering Algorithm (MWBCA) [9] is proposed to prevent CHs from dying earlier, this algorithm takes each node as CH alternatively, and the node having high residual energy has more probability of becoming the CH.…”

Implementation framework for energy efficient routing in wireless sensor network

“…Energy Aware cluster Based Multi-hop (EACBM) a new routing protocol was proposed by Toor and Jain (2018) that makes use of the clustering principle and communication patted based on multi-hop to transfer information to base station. When comparing the performance of EACBM routing protocol with existing algorithms the proposed algorithm has shown betterment with respect stability among sensor nodes, throughput, lifetime of network and number of dead nodes per round for all the three different network sizes.…”