Improved energy-efficient ant-based routing algorithm in wireless sensor networks

Adamu Murtala Zungeru; Li-Minn Ang; S R S Prabaharan; Kah Phooi Seng

doi:10.4018/978-1-4666-0101-7.ch020

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Improved energy-efficient ant-based routing algorithm in wireless sensor networks

Book chapter

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Improved energy-efficient ant-based routing algorithm in wireless sensor networks

Adamu Murtala Zungeru, Li-Minn Ang, S R S Prabaharan and Kah Phooi Seng

Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, pp.420-444

IGI Global

2012

DOI: https://doi.org/10.4018/978-1-4666-0101-7.ch020

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Abstract

ant colony optimization

wireless sensor network

High efficient routing is an important issue in the design of limited energy resource wireless sensor networks (WSNs). This chapter presents an Improved Energy-Efficient Ant-Based Routing Algorithm (IEEABR) in wireless sensor networks. Compared to traditional Basic Ant-Based Routing (BABR), Improved Ant-Based Routing (IABR), and Energy-Efficient Ant-Based Routing (EEABR) approaches, the proposed IEEABR approach has advantages of reduced energy usage and achieves a dynamic and adaptive routing that can effectively balance the WSN node power consumption and increase the network lifetime. This chapter covers applications and routing in WSNs, different methods for routing using ant colony optimization (ACO), a summary of routing algorithms based on ant systems, and the Improved Energy-Efficient Ant-Based Routing Algorithm approach. Simulations results were analyzed while also looking at open research problems and future work to be done. The chapter concludes with a comparative summary of results with IABR and EEABR.

Details

Title: Improved energy-efficient ant-based routing algorithm in wireless sensor networks
Authors: Adamu Murtala Zungeru (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
S R S Prabaharan (Author) - University of Nottingham Malaysia Campus
Kah Phooi Seng (Author) - Sunway University
Contributors: Noor Zaman (Editor) - King Faisal University
Khaled Ragab (Editor) - King Faisal University
Azween Bin Abdullah (Editor) - Universiti Teknologi Petronas
Publication details: Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, pp.420-444
Publisher: IGI Global
Date published: 2012
DOI: 10.4018/978-1-4666-0101-7.ch020; 10.4018/978-1-4666-0101-7
ISBN: 9781466601024
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513902602621
Output Type: Book chapter

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