Abstract
Node localization is a fundamental and important technology in wireless sensor networks. In this paper, a localization algorithm in wireless sensor networks based on PSO is proposed. Unlike most of the existing location algorithm, the proposed algorithm figures out the rectangular estimation range of unknown node by bounding box algorithm and takes one value as the estimated coordinates of this node, then it has been optimized by PSO, so got the more precise location of unknown nodes. Simulation results show that this optimized algorithm outperforms traditional bounding box on the positioning accuracy and localization error.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Commun. Magn. 40, 102–114 (2002)
Tubaishat, M., Madria, S.: Sensor Networks: An Overview. IEEE Potentials 22(2), 20–23 (2003)
Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., Wang, Z.M.: Protocols and model for sink mobility in wireless sensor networks. ACM SIGMOBILE Mobile Computing and Communications Review 10, 28–30 (2006)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzher, T.: Range-Free Localization Schemes for Large Scale Sensor Networks. In: 9th Annual International Conference on Mobile Computing and Networking, pp. 81–95. IEEE Press, San Diego (2003)
You, Z., Meng, M.Q.-H., Liang, H., et al.: A Localization Algorithm in Wireless Sensor Networks Using a Mobile Beacon Node. In: International Conference on Information Acpuisition, pp. 420–426. IEEE Press, Jeju City (2007)
Eberhart, R.C., Kennedy, J.: A New Optimized using Particle Swarm Theory. In: 6th International Symposium on Micromachine and Human Science, pp. 39–43. IEEE Press, Piscataway (1995)
Chen, H., Ping, D., Xu, Y., Li, X.: A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. In: Advanced Web and Network Technologies, and Applications, pp. 315–320. IEEE Press, Harbin (2008)
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Personal Communications 7(5), 28–34 (2000)
Capkun, S., Hamdi, M., Hubaux, J.P.: GPS-Free Positioning in Mobile Ad-Hoc Networks. In: 34th Annual Hawaii International Conference on System Sciences, pp. 255–258. IEEE Press, Maui (2001)
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Li, H., Xiong, S., Liu, Y., Kou, J., Duan, P. (2011). A Localization Algorithm in Wireless Sensor Networks Based on PSO. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21524-7_24
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DOI: https://doi.org/10.1007/978-3-642-21524-7_24
Publisher Name: Springer, Berlin, Heidelberg
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