Abstract
Wireless sensor networks are used in military, health monitoring, tracking and security applications. These critical applications require reliable and fault tolerant operation of the network. This paper proposes a novel reliable routing protocol for wireless sensor networks (WSN) to extend the network lifetime using fuzzy inference system (FIS). Due to limitation in communication range, sensor nodes transmit their sensed data through multiple hops. Each sensor node acts as a routing element for other sensor nodes for transmitting data.The purpose of this work is to extend the network lifetime using FIS. Each sensor node selects the optimized path for forwarding packets to the base station based on routing metrics. Simulation results shows that proposed algorithm can achieve higher network lifetime by comparison to other routing protocols.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: A survey. Computer Networks (Elsevier) 38(4), 393–422 (2002)
Pottie, G., Kaiser, W.: Wireless integrated network sensors. Communications of the ACM 43(5), 51–58 (2000)
Leandros, J.C., Tassiulas, L.: Maximum lifetime routing in wireless sensor networks. IEEE/ACM Trans. on networking 12(4), 609–619 (2000)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd International Conference on System Sciences (HICSS 2000), Anchorage Alaska, January 2000, vol. 2, pp. 1–10 (2000)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Trans. on Wireless Communications 1(4), 660–670 (2002)
Manjeshwar, A., Agarwal, D.P.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: IEEE Parallel and Distributed Processing Symposium, San Francisco, April 23-27, pp. 2009–2015 (2001)
Lindsay, S., Raghavendra, C.: PEGASSIS: Power Efficient Gathering in Sensor Information Systems. In: IEEE Aerospace Conference, Big Sky, Montana, March 2002, vol. 3, pp. 1125–1130 (2002)
Ganesan, D., Govindan, R., Shenker, S., Estrin, D.: Highly-resilient, energy-efficient multipath routing in wireless sensor networks. ACM SIGMOBILE Mobile Computing and Communications Review 5(4), 11–25 (2001)
Chang, J.H., Tasiulas, L.: Maximum Lifetime Routing in Wireless Sensor Networks. IEEE/ACM Trans. on Networking 12(4), 609–619 (2004)
Jain, R., Puri, A., Sengupta, R.: Geographical Routing using partial information for wireless sensor networks. IEEE Personal communications, 48–57 (February 2001)
Liang, Q., Ren, Q.: Energy and Mobility aware Geographical Multipath Routing for Wireless Sensor Networks. In: Wireless communications and networking conference, New Orleans, LA, March 2003, vol. 3, pp. 1867–1871 (2003)
Chiang, S., Wang, J.: Routing Analysis Using Fuzzy Logic Systems in Wireless Sensor Networks. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008, Part II. LNCS (LNAI), vol. 5178, pp. 966–973. Springer, Heidelberg (2008)
Shin, K., Chung, M.Y., Won, J., Choo, H.: Routing Based on Ad Hoc Link Reliability. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds.) ISPA Workshops 2006. LNCS, vol. 4331, pp. 341–350. Springer, Heidelberg (2006)
Albowicz, J., Chen, A., Zhang, L.: Recursive position estimation in sensor networks. In: Proc. IEEE Int. Conf. Network Protocols, November 2001, pp. 35–41 (2001)
Savarese, C., Rabaey, J.M., Beutel, J.: Locationing in distributed ad-hoc wireless sensor networks. In: Proc. ICASSP, May 2001, pp. 2037–2040 (2001)
Patwari, N., Hero, A., Perkins, M., Correal, N.S., O’Dea, R.J.: Relative Location Estimation in Wireless Sensor Networks. IEEE Tran. On signal processing 51(8), 2137–2148 (2003)
Ross, T.J.: Fuzzy logic with engineering applications. McGraw-Hill Inc., New York (1997)
Simon, Y.: A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. IEEE Tran. on industrial electronics 47(5), 1161–1171 (2000)
Fuzzy Logic Toolbox user’s guide, http://www.mathworks.com/
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Manjunatha, P., Verma, A.K., Srividya, A. (2010). Fuzzy Based Optimized Routing Protocol for Wireless Sensor Networks. In: Mukhopadhyay, S.C., Leung, H. (eds) Advances in Wireless Sensors and Sensor Networks. Lecture Notes in Electrical Engineering, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12707-6_12
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DOI: https://doi.org/10.1007/978-3-642-12707-6_12
Publisher Name: Springer, Berlin, Heidelberg
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