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

A.M. Zungeru, L.-M. Ang, S.R.S. Prabaharan, K.P. Seng

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

5 Citations (Scopus)

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. © 2012, IGI Global.
Original languageEnglish
Title of host publicationWireless sensor networks and energy efficiency
Subtitle of host publicationProtocols, routing and management
EditorsNoor Zaman, Khaled Ragab, Azween Bin Abdullah
Place of PublicationHershey, PA
PublisherIGI Global
Chapter20
Pages420-444
Number of pages25
Edition1st
ISBN (Electronic)9781466601024
ISBN (Print)9781466601017
DOIs
Publication statusPublished - Jan 2012

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  • Cite this

    Zungeru, A. M., Ang, L-M., Prabaharan, S. R. S., & Seng, K. P. (2012). Improved energy-efficient ant-based routing algorithm in wireless sensor networks. In N. Zaman, K. Ragab, & A. B. Abdullah (Eds.), Wireless sensor networks and energy efficiency: Protocols, routing and management (1st ed., pp. 420-444). IGI Global. https://doi.org/10.4018/978-1-4666-0101-7.ch020