Abstract
In wireless sensor networks localization process, RSSI-based ranging methods mostly adopt the traditional logarithmic-distance path loss model. Its model parameters mostly adopt empirical values and ignoring the problem of changes in the surrounding environment during the node localization process. Thus, it is increasing the localization error and reducing the applicability of the algorithm. To solve this problem, this paper proposes an optimization algorithm of RSSI transmission model for distance error correction (RSSI-DEC) to optimize the path loss factor and the reference path loss between anchor nodes in the signal transmission model. FA algorithm and PSO algorithm are used to optimize the parameters of the model, and the model parameters adapted to the monitoring environment are obtained to correct the ranging error. The simulation results show that RSSI-DEC algorithm proposed in this paper can effectively improve node localization accuracy and environmental adaptability. The algorithm proposed in this paper has an average relative localization error of 9.17%.
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Yourong, C., Siyi, L., Junjie, C.: Node localization algorithm of wireless sensor networks with mobile beacon node. Peer-to-Peer Netw. Appl. 10(3), 795–807 (2017)
Fariz, N., Jamil, N., Din, M.M.: An improved indoor location technique using Kalman filtering on RSSI. J. Comput. Theor. Nanosci. 24(3), 1591–1598 (2018)
Teng, Z., Qu, Z., Zhang, L., Guo, S.: Research on vehicle navigation BD/DR/MM integrated navigation positioning. J. Northeast Electr. Power Univ. 37(4), 98–101 (2017)
Rencheng, J., Zhiping, C., Hao, X.: An RSSI-based localization algorithm for outliers suppression in wireless sensor networks. Wirel. Netw. 21(8), 2561–2569 (2015)
Zhang, X., Xiong, W., Xu, B.: A cooperative localization algorithm based on RSSI model in wireless sensor networks. J. Electr. Meas. Instrum. 30(7), 1008–1015 (2016)
Teng, Z., Xu, M., Zhang, L.: Nodes deployment in wireless sensor networks based on improved reliability virtual force algorithm. J. Northeast Dianli Univ. 36(2), 86–89 (2016)
Jinze, D., Jean, F.D., Yide, W.: A RSSI-based parameter tracking strategy for constrained position localization. EURASIP J. Adv. Signal Process. 2017(1), 77 (2017)
Yu, Z., Guo, G.: Improvement of localization technology based on RSSI in ZigBee networks. Wirel. Pers. Commun. 95(3), 1–20 (2016)
Sun, Z., Zhou, C.: Adaptive clustering algorithm in WSN based on energy and distance. J. Northeast Dianli Univ. 36(1), 82–86 (2016)
Acknowledgements
This work was supported by “Research on Lightweight Active Immune Technology for Electric Power Supervisory Control System”, a science and technology project of State Grid Co., Ltd. in 2019.
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Liu, Y. et al. (2020). Optimization Algorithm of RSSI Transmission Model for Distance Error Correction. In: Pan, JS., Li, J., Tsai, PW., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 157. Springer, Singapore. https://doi.org/10.1007/978-981-13-9710-3_3
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DOI: https://doi.org/10.1007/978-981-13-9710-3_3
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