Energy efficiency performance improvements for ant-based routing algorithm in wireless sensor networks

A M Zungeru; K P Seng; Li-Minn Ang; W Chong Chia

doi:10.1155/2013/759654

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Energy efficiency performance improvements for ant-based routing algorithm in wireless sensor networks

Journal article

Open access

Peer reviewed

Energy efficiency performance improvements for ant-based routing algorithm in wireless sensor networks

A M Zungeru, K P Seng, Li-Minn Ang and W Chong Chia

Journal of Sensors, Vol.2013, pp.1-17

2013

DOI: https://doi.org/10.1155/2013/759654

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Abstract

Artificial intelligence

Communication

Ant Colony Optimization (ACO)

Communication range

Energy efficiency improvements

Energy-aware routing protocol

Neighboring nodes

Performance improvements

Simulation environment

Wireless sensor network (WSNs)

The main problem for event gathering in wireless sensor networks (WSNs) is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR) algorithm, based on the ant colony optimization (ACO) metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three improvements to the EEABR algorithm to further improve its energy efficiency. The improvements to the original EEABR are based on the following: (1) a new scheme to intelligently initialize the routing tables giving priority to neighboring nodes that simultaneously could be the destination, (2) intelligent update of routing tables in case of a node or link failure, and (3) reducing the flooding ability of ants for congestion control. The energy efficiency improvements are significant particularly for dynamic routing environments. Experimental results using the RMASE simulation environment show that the proposed method increases the energy efficiency by up to 9% and 64% in converge-cast and target-tracking scenarios, respectively, over the original EEABR without incurring a significant increase in complexity. The method is also compared and found to also outperform other swarm-based routing protocols such as sensor-driven and cost-aware ant routing (SC) and Beesensor.

Details

Title: Energy efficiency performance improvements for ant-based routing algorithm in wireless sensor networks
Authors: A M Zungeru (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - Sunway University
Li-Minn Ang (Author) - Edith Cowan University
W Chong Chia (Author) - Sunway University
Publication details: Journal of Sensors, Vol.2013, pp.1-17
Publisher: Hindawi Publishing Corporation
Date published: 2013
DOI: 10.1155/2013/759654
ISSN: 1687-725X; 1687-7268; 1687-725X
Copyright note: Copyright © 2013 Adamu Murtala Zungeru et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513804602621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Engineering, Electrical & Electronic; Instruments & Instrumentation