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

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

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationWireless Sensor Networks and Energy Efficiency
Subtitle of host publicationProtocols, Routing and Management
PublisherIGI Global
Number of pages25
ISBN (Print)9781466601017
Publication statusPublished - 2012
Externally publishedYes


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