Abstract
The purpose of this article is to propose some major modifications to improve the performance of the Simulated Annealing based localization algorithm. To this end, by replacing the random initial location estimation of the sensor with an appropriate estimation, the execution time is decreased considerably. In addition, in order to mitigate flip ambiguity and increase localization accuracy, the fitness function and the probability distribution function are modified. The simulation results indicate a significant increase in the localization accuracy and execution speed especially in high noisy network.
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References
Kannan, A., Mao, G., Vucetic, B.: Simulated Annealing based Wireless Sensor Network Localization. Journal of Computers 1(2), 15–22 (2006)
Li, Y., Xing, J., Yang, Q., Shi, H.: Localization Research based on Improved Simulated Annealing Algorithm in WSN. In: 5th Int. Conference on WICOM, China, pp. 1–4 (2009)
Su, Z., Shang, F., Wang, R.: A Wireless Sensor Network Location Algorithm Based on Simulated Annealing. In: 2nd Int. Conference on BMEI, China, pp. 1–5 (2009)
Shahrokhzadeh, M.R., Haghighat, A.T., Shahrokhzadeh, B.: An Improved Localization Algorithm Based on Simulated Annealing for Wireless Sensor Networks. In: 2nd Int. Conference on ICCCA, pp. 53–58. IEEE Press, South Korea (2011)
Zhang, Q., Wang, J., Jin, C., Zeng, Q.: Localization Algorithm for Wireless Sensor Network Based on Genetic Simulated Annealing Algorithm. In: 4th Int. Conference on WICOM, pp. 1–5 (2008)
Tay, J.H.S., Chandrasekhar, V.R., Seah, W.: Selective Iteratitive Multilateration for Hop Count-based Localization in Wireless Sensor Networks. In: 7th Int. Conference on Mobile Data Management, pp. 52–55 (2006)
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© 2011 Springer-Verlag Berlin Heidelberg
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Shahrokhzadeh, M., Haghighat, A.T., Shahrokhzadeh, B. (2011). An Efficient Centralized Localization Method in Wireless Sensor Networks. In: Lehnert, R. (eds) Energy-Aware Communications. EUNICE 2011. Lecture Notes in Computer Science, vol 6955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23541-2_25
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DOI: https://doi.org/10.1007/978-3-642-23541-2_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23540-5
Online ISBN: 978-3-642-23541-2
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