Book chapter
Improved energy-efficient ant-based routing algorithm in wireless sensor networks
Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, pp.420-444
IGI Global
2012
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.
Details
- Title
- Improved energy-efficient ant-based routing algorithm in wireless sensor networks
- Authors
- Adamu Murtala Zungeru (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia CampusS R S Prabaharan (Author) - University of Nottingham Malaysia CampusKah Phooi Seng (Author) - Sunway University
- Contributors
- Noor Zaman (Editor) - King Faisal UniversityKhaled Ragab (Editor) - King Faisal UniversityAzween 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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