Abstract
High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.
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References
Saleem, M., Di Caro, G., Farooq, M.: Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions. Information Sciences 181(20), 4597–4624 (2011)
Zungeru, A.M., Ang, L.-M., Seng, K.P.: Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison. Journal of Network and Computer Applications (2012), http://dx.doi.org/10.1016/j.jnca.2012.03.004
Dorigo, M., Di Caro, G.: AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research 9, 317–365 (1998)
Saleem, M., Farooq, M.: BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS, vol. 4448, pp. 81–90. Springer, Heidelberg (2007)
Roth, M., Wicker, S.: Termite: ad-hoc networking with stigmergy. In: IEEE Global Telecommunications Conference, GLOBECOM 2003, vol. 5, pp. 2937–2941 (2003)
Zhang, Y., Kuhn, L.D., Fromherz, M.P.J.: Improvements on Ant Routing for Sensor Networks. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds.) ANTS 2004. LNCS, vol. 3172, pp. 154–165. Springer, Heidelberg (2004)
Perkins, C., Royer, E.: Ad-hoc on-demand distance vector routing. In: Proceedings of 2nd IEEE Workshop on Mobile Comp’t. Systems and Applications, pp. 90–100 (1999)
Zungeru, A.M., Ang, L.-M., Prabaharan, S.R.S., Seng, K.P.: Ant Based Routing Protocol for Visual Sensors. In: Abd Manaf, A., Zeki, A., Zamani, M., Chuprat, S., El-Qawasmeh, E., et al. (eds.) ICIEIS 2011. CCIS, vol. 252, pp. 250–264. Springer, Heidelberg (2011)
Sztipanovits, J.: Probabilistic wireless network simulator (Prowler), http://www.isis.vanderbilt.edu/Projects/nest/prowler/
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Zungeru, A.M., Ang, LM., Seng, K.P. (2012). Performance of Termite-Hill Routing Algorithm on Sink Mobility in Wireless Sensor Networks. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_39
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DOI: https://doi.org/10.1007/978-3-642-31020-1_39
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