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This paper presents the parameter adaptation values for ACS experimental set-up in validating its performance. Possible values of each parameter within a defined range were employed. Experiments were conducted to obtain the best value of each parameter to be used for throughput, energy consumption, and latency. Results of this study can be adopted to achieve optimal performance for the packet routing process. | Journal of ICT, 18, No. 2 (April) 2019, pp: 167–182 How to cite this article: Nasir, H. J. A., Ku-Mahamud, K. R., & Kamioka, E. (2019). Parameter adaptation for ant colony system in wireless sensor network. Journal of Information and Communication Technology, 18(2), 167-182. PARAMETER ADAPTATION FOR ANT COLONY SYSTEM IN WIRELESS SENSOR NETWORK 1 Husna Jamal Abdul Nasir, 2Ku Ruhana Ku-Mahamud & 3 Eiji Kamioka 1 Universiti Malaysia Perlis, Malaysia 2 Universiti Utara Malaysia, Malaysia, 3 Shibaura Institute of Technology, Japan husna.jamanas@gmail.com;ruhana@uum.edu.my; kamioka@shibaurait.ac.p ABSTRACT The Ant Colony System (ACS) algorithm has been applied in solving packet routing problems in Wireless Sensor Networks (WSNs). Solving these problems is complicated as packets need to be submitted through sensor nodes which are spatially distributed and heterogeneous by nature. Without an effective packet routing algorithm, energy consumption will be increased while network lifetime will be reduced. Most researches are focused on optimizing the routing process by using predefined parameters within a certain range. However, this approach will not guarantee optimal performance. This paper presents the parameter adaptation values for ACS experimental set-up in validating its performance. Possible values of each parameter within a defined range were employed. Experiments were conducted to obtain the best value of each parameter to be used for throughput, energy consumption, and latency. Results of this study can be adopted to achieve optimal performance for the packet routing process. Keywords: Ant colony optimization, parameter tuning, performance evaluation. Received: 12 August 2018 Accepted: 28 January 2019 167 Published: 31 March 2019 Journal of ICT, 18, No. 2 (April) 2019, pp: 167–182 INTRODUCTION A Wireless Sensor Network (WSN) consists of tiny-sized sensor nodes that can communicate between each other, perform basic computation operations, and sense any .
