Energy-efficient chain-cluster based intelligent routing technique for wireless sensor networks. Issue 1 (7th March 2018)

• Record Type: Journal Article
• Authors: Ramluckun, Natasha; Vandana Bassoo,
• Is Part Of: Applied computing and informatics. Volume 16:Issue 1/2(2020)
• Page Start: 39
• Page End: 57
• Publication Date: 2018-03-07
• Subjects: Wireless Sensor Networks -- Ant Colony Optimisation -- Energy efficiency -- Network lifetime -- Chain-cluster based routing -- Load balancing; Information science -- Periodicals; Information storage and retrieval systems -- Periodicals; 004
• DOI: 10.1016/j.aci.2018.02.004
• Languages: English
• ISSNs: 2210-8327

Abstract

Abstract : With the increasing acclaim of Wireless Sensor Networks and its diverse applications, research has been directed into optimising and prolonging the network lifetime. Energy efficiency has been a critical factor due to the energy resource impediment of batteries in sensor nodes. The proposed routing algorithm therefore aims at extending lifetime of sensors by enhancing load distribution in the network. The scheme is based on the chain-based routing technique of the PEGASIS (Power Energy GAthering in Sensor Information Systems) protocol and uses Ant Colony Optimisation to obtain the optimal chain. The contribution of the proposed work is the integration of the clustering method to PEGASIS with Ant Colony Optimisation to reduce redundancy of data, neighbour nodes distance and transmission delay associated with long links, and the employment an appropriate cluster head selection method. Simulation results indicates proposed method's superiority in terms of residual energy along with considerable improvement regarding network lifetime, and significant reduction in delay when compared with existing PEGASIS protocol and optimised PEG-ACO chain respectively.