Title: Modified fitness-based swarm intelligence approach for routing in wireless sensor networks

Authors: Varun Kohli; Rajeev Kumar; Dilip Kumar

Addresses: Lovely Professional University, Phagwara, Punjab, 144402, India ' DAV Institute of Engineering and Technology, Jalandhar, Punjab, 144008, India ' Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, 148106, India

Abstract: Despite the continuous improvement in field of wireless sensor networks (WSNs), there still exist areas of improvement in terms of factors like limited processing, communication, latency, energy resources available to a sensor node. In this paper, we have presented a swarm intelligence (SI)-based approach which serves as an apt model on the grounds that they comprise of moderate, self-organising and cooperative behaviours to deliver long lasting adaptivity to changes in pervasive environments. In the field of wireless sensor networks (WSNs), various swarm-based routing protocols have been proposed and the fitness function provides the best possible routing paths. In this paper, we have proposed a modified multi-path routing approach using artificial bee colony (ABC). The modified approach is based on fitness function which includes distance vector, reward factor, energy factor and latency of the path to be traversed. Among the swarm-based routing protocols (FP-ant, EEABR, AODV, Beesensor), Beesensor provides the best results. On the basis of experimental results, it was found that the modified approach provides better results than Beesensor.

Keywords: wireless sensor networks; WSNs; artificial bee colony; ABC; distance factor; energy factor; fitness function; swarm intelligence; routing protocols; metaheuristics.

DOI: 10.1504/IJAIP.2017.082995

International Journal of Advanced Intelligence Paradigms, 2017 Vol.9 No.2/3, pp.263 - 277

Received: 09 Jan 2016
Accepted: 07 Oct 2016
Published online: 17 Mar 2017 *

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