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Improved Energy-Efficient Ant-Based Routing Algorithm in Wireless Sensor Networks
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Author(s): Adamu Murtala Zungeru (University of Nottingham-Malaysia Campus, Malaysia), Li-Minn Ang (University of Nottingham-Malaysia Campus, Malaysia), SRS. Prabaharan (University of Nottingham-Malaysia Campus, Malaysia)and Kah Phooi Seng (Sunway University, Malaysia)
Copyright: 2012
Pages: 25
Source title:
Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management
Source Author(s)/Editor(s): Noor Zaman (King Faisal University, Saudi Arabia), Khaled Ragab (King Faisal University, Saudi Arabia)and Azween Bin Abdullah (Universiti Teknologi Petronas, Malaysia)
DOI: 10.4018/978-1-4666-0101-7.ch020
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Abstract
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.
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