Title: Energy efficient-dynamic and self-optimised routing in wireless sensor network based on ant colony optimisation

Authors: Arindam Debnath; Mrinal Kanti Debbarma

Addresses: CSE Department, National Institute of Technology Agartala, Jirania, 799046 Tripura, India ' CSE Department, National Institute of Technology Agartala, Jirania, 799046 Tripura, India

Abstract: A wireless sensor network (WSN) consists of low power, low cost, limited memory and small in size sensor nodes, organise them in a cooperative network and perform three basic operations - sensing data from environment, computation, and data routing. Routing in WSN mainly focuses on data dissemination, data aggregation, life time of the network and limited bandwidth constraints in order to facilitate the efficient working of the network. Due to the limited battery power, the energy conservation is a critical aspect to design an efficient routing protocol in WSN. This paper proposes the energy efficient dynamic and self-optimised routing to prolong the life time of the network, QoS and solve the stagnation problem in the network.

Keywords: wireless sensor network; ACO; forward ant; FA; backward ant; BA; local edge selection.

DOI: 10.1504/IJNVO.2019.097644

International Journal of Networking and Virtual Organisations, 2019 Vol.20 No.2, pp.184 - 194

Received: 25 Nov 2016
Accepted: 07 Sep 2017
Published online: 04 Feb 2019 *

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