Abstract
IEEE 802.15.4 is an emerging standard specifically designed for low-rate wireless personal area networks (LR-WPAN) with a focus on enabling the wireless sensor networks. It attempts to provide a low data rate, low power, and low cost wireless networking on the device-level communication. In low rate wireless personal area networks the position of each node changes over time. A network protocol that is able to dynamically update its links in order to maintain strong connectivity is said to be self-reconfiguring. In this paper, we propose a fuzzy logic system for detecting ping pong effect attack in low rate wireless personal area networks design method with self-reconfiguring protocol for power efficiency. The LR-WPAN is self-organized to clusters using an unsupervised clustering method, fuzzy clustering means (FCM). A fuzzy logic system is applied to master/controller selection for each cluster. A self-reconfiguring topology is proposed to manage the mobility and recursively update the network topology. We also modify the mobility management scheme with hysteresis to detect the ping-pong effect attack.
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References
Siep, T.: Paving the way for personal area network standards: an overview of the IEEE P802.15 working group for wireless personal area networks. IEEE Pers. Communication 7(1), 37–43 (2007)
Middleton, S.: IEEE 802.15 WPAN low rate study group PAR. doc no. IEEE P802.1500/248r3, http://grouper.ieee.org/groups/802/15/pub/2000/sep00/00248r3P802-15-LRSG-PAR.doc
He, Q.: A novel vertical handoff decision algorithm in heterogeneous wireless networks. In: IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS), pp. 566–570 (June 2008)
Sheng, J., Tang, L.: A Triangle module operator and Fuzzy Logic Based Handoff Algorithm for Heterogeneous Wireless Network. In: 12th IEEE International Conference on Communication Technology, pp. 448–451 (January 2011) ISBN: 978-1-4244-6868-3
Meng, T., Rodoplu, V.: Minimum energy mobile wireless networks. IEEE J. Selected Areas in Communications 17(8), 1333–1344 (2008)
Agarwal, S., et al.: Distributed power control in ad hoc wireless networks. In: IEEE 12th International Symposium on Personal Indoor Mobile Radio Communications (PIMRC), San Diego, CA (September 2008)
Raghavendra, C.S., Lindsey, S.: PEGASIS: power efficient gathering in sensor information systems. Presented at IEEE Aerospace Conference (March 2006)
Raghavendra, C.S., Singh, S., Woo, M.: Power aware routing in mobile ad hoc networks. In: Proc. of Annual ACM/IEEE International Conf. on Mobile Computing and Networking (MobiCom), Dallas, TX, pp. 181–190 (2008)
Hassanein, H., Mouftah, H., Safwat, A.: Power-aware fair infrastructure formation for wireless mobile ad hoc communications. In: Proc. of Globecom 2001, San Antonio, TX, pp. 2832–2836 (September 2005)
Toh, C.-K.: Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Communications Magazine 39(6), 138–147 (2009)
Rappaport, T.S.: Wireless Communications. Prentice Hall, Upper Saddle River (2006)
Rodoplu, V., Meng, T.: Minimum energy mobile wireless networks. IEEE J. Selected Areas in Communications 17(8), 1333–1344 (2008)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1999)
Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems. Prentice-Hall, Upper Saddle River (2008)
Tahon, C., Hammadi, S.: Special issue on intelligent techniques in flexible manufacturing systems. IEEE Transactions on Systems, Man and Cybernetics, 157–158 (May 2003)
Guru, S.M., Halgamuge, M.N., Jennings, A.: Energy efficient cluster formation in wireless sensor networks. In: 10th International Conference on Telecommunications, pp. 1571–1576 (March 2003)
Chou, L., Gen-Chung, L.: Location management using fuzzy logic control for wireless networks. In: International Conferences on Info-tech and Info-net, pp. 339–344 (October 2001)
Kreinovich, V., Reznik, L.: Fuzzy and probabilistic models of association information in sensor networks. In: Proc. IEEE International Conference on Fuzzy Systems, pp. 185–189 (July 2004)
Holtzman, J.M., Zhang, N.: Analysis of handoff algorithms using both absolute and relative measurements. IEEE Trans. Vehi. Technol. 45, 174–179 (2006)
Agarwal, S., et al.: Distributed power control in ad hoc wireless networks. In: IEEE 12th International Symposium on Personal Indoor Mobile Radio Communications (PIMRC), San Diego, CA (September 2008)
Gutierrez, J.A., et al.: IEEE 802.15.4: A developing standard for low power low cost wireless personal area networks. IEEE Networks, 12–19 (September/October 2008)
Li, Q., Aslam, J., Rus, D.: Online power-aware routing in wireless ad-hoc networks. In: Proc. of Annual ACM/IEEE International Conf. on Mobile Computing and Networking (MobiCom), Rome, Italy, pp. 97–107 (2007)
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Balarengadurai, C., Saraswathi, S. (2013). A Fuzzy Logic System for Detecting Ping Pong Effect Attack in IEEE 802.15.4 Low Rate Wireless Personal Area Network. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_43
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DOI: https://doi.org/10.1007/978-3-642-32063-7_43
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