Abstract
Wireless sensor network gained popularity during the past few decades due to the ad hoc nature, which makes it easy to install in a landscape where human may not be able to approach. Wireless Sensor Network (WSN) is considered for networks consisting of many tiny sensor devices running on batteries. This type of wireless sensor networks are deployed to fulfil a specific objective for a long period of time, hence the energy consumed in communication should be optimized to prolong the network. This paper presents the energy optimization method using Firefly algorithm to prolong network lifetime. Firefly algorithm is a nature inspired optimization technique that is based on the behaviour of an insect known as “Firefly” that produces the flashing light mainly to attract the pray and to attract the mating partner. The proposed algorithm for effective communication is compared with LEACH and ABC (Artificial Bee Colony) optimization for cluster-based sensor network and the simulated result shows the better performance.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38, 393–422, (2002)
Younis, O., Krunz, M., Ramasubramanian, S.: Node clustering in wireless sensor networks: recent developments and deployment challenges, IEEE (2006)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (2000)
Ali, M.S. Dey, T., Biswas, R.: ALEACH: Advanced LEACH routing protocol for wireless microsensor networks. In: 5th International Conference on Electrical and Computer Engineering, IEEE (2008)
Zhang, W., Liang, Z., Hou, Z., Tan, M.: A power efficient routing protocol for wireless sensor network. In: Proceedings of the IEEE International Conference, Networking, Sensing and Control, London, UK, 15–17 April 2007
Karaboga, D., Okdem, S., Ozturk, C.: cluster based wireless sensor network routings using artificial bee colony algorithm, IEEE (2010)
Bian, Q., Zhang, Y., Zhao, Y.: Research on clustering routing algorithms in wireless sensor networks. In: International Conference on Intelligent Computation Technology and Automation, IEEE (2010)
Senthilnath, J., Omkar, S.N., Mani, V.: Clustering using firefly algorithm: performance study, Elsevier (2011)
Sulaiman, M.H., Mustafa, M.W., Zakaria, Z. N., Aliman, O., Abdul Rahim, S.R.: Firefly algorithm technique for solving economic dispatch problem. In: IEEE International Power Engineering and Optimization Conference (PEOCO2012), Melaka, Malaysia, 6–7 June 2012
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Arshad Nadeem, T. Shankar, Sharma, R.K., Roy, S.K. (2016). An Application of Firefly Algorithm for Clustering in Wireless Sensor Networks. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_98
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DOI: https://doi.org/10.1007/978-81-322-2638-3_98
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