An energy efficient load balanced cluster-based routing using ant colony optimization for WSN. Issue 3 (3rd September 2018)

• Record Type: Journal Article
• Authors: Guleria, Kalpna; Verma, Anil Kumar
• Is Part Of: International journal of pervasive computing and communications. Volume 14:Issue 3/4(2018)
• Page Start: 233
• Page End: 246
• Publication Date: 2018-09-03
• Subjects: Clustering -- Routing protocols -- Ant colony optimization (ACO) -- LB-CR-ACO -- Load balanced -- Wireless sensor networks; Ubiquitous computing -- Periodicals; Mobile computing -- Periodicals; Computer network protocols -- Periodicals; Computer network architectures -- Periodicals; Application software -- Development -- Periodicals; 004.6
• DOI: 10.1108/IJPCC-D-18-00013
• Languages: English
• ISSNs: 1742-7371

Abstract

Abstract : Purpose: Wireless sensor networks (WSNs) have emerged as one of the most promising technology in our day-to-day life. Limited network lifetime and higher energy consumption are two most critical issues in WSNs. The purpose of this paper is to propose an energy-efficient load balanced cluster-based routing protocol using ant colony optimization (LB-CR-ACO) which ultimately results in enhancement of the network lifetime of WSNs. Design/methodology/approach: The proposed protocol performs optimal clustering based on cluster head selection weighing function which leads to novel cluster head selection. The cluster formation uses various parameters which are remaining energy of the nodes, received signal strength indicator (RSSI), node density and number of load-balanced node connections. Priority weights are also assigned among these metrics. The cluster head with the highest probability will be selected as an optimal cluster head for a particular round. LB-CR-ACO also performs a dynamic selection of optimal cluster head periodically which conserves energy, thereby using network resources in an efficient and balanced manner. ACO is used in steady state phase for multi-hop data transfer. Findings: It has been observed through simulation that LB-CR-ACO protocol exhibits better performance for network lifetime in sparse, medium and dense WSN deployments than its peer protocols. Originality/value: The proposed paper provides a unique energy-efficient LB-CR-ACO for WSNs. LB-CR-ACO performs novel cluster head selection using optimal clustering and multi-hop routing which utilizes ACO. The proposed work results in achieving higher network lifetime than its peer protocols.