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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 5, Pages 1,986-2,010, DOI: https://doi.org/10.21307/ijssis-2017-623
License : (CC BY-NC-ND 4.0)
Received Date : 12-July-2013 / Accepted: 01-November-2013 / Published Online: 16-December-2013
Localization schemes have a significant role in wireless sensor networks. During random deployment in an untouched area, the nodes have to be capable of self-management to determine their position. Received Signal Strength (RSS) and DV-Hop, are two different schemes that each have environment or hop dependency problem. Hybrid localization scheme, called H-Loc, is a combination of RSS and DV-Hop method. This scheme is proposed to make the selection of distance determination process based on the proximity of nodes position. The weighted least square is proposed as a refining of DV-Hop scheme’s position calculated process. Simulation results show that the proposed scheme has the capability of improving the accuracy of node positioning up to 3.4 %.
 S. Indu, V. Kesam, S. . Chaudury, and A. Bhattacharya, “Self Organizing Sensor Network to Enhance Event Coverage,” J. on Smart Sensing and Intelligent System, vol. 4, no. 1, pp. 53 – 74, Mar. 2011.
 N. Patwari, I. Hero, A.O., M. Perkins, N. S. Correal, and R. J. O’Dea, “Relative location estimation in wireless sensor networks,” IEEE Transactions on Signal Processing, vol. 51, no. 8, pp. 2137 – 2148, Aug. 2003.
 G. Mao and B. Fidan, Localization Algorithms and Strategies for Wireless Sensor Networks, 1st ed. Information Science Reference, 2009.
 Y. Liu and Z. Yang, Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks. Springer, 2011.
 F. Reichenbach, A. Born, D. Timmermann, and R. Bill, “A distributed linear least squares method for precise localization with low complexity in wireless sensor networks,” in Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems, Berlin, Heidelberg, 2006, pp. 514–528.
 J. Wan, N. Yu, R. Feng, Y. Wu, and C. Su, “Localization refinement for wireless sensor networks,” Computer Communications, vol. 32, no. 13–14, pp. 1515–1524, Aug. 2009.
 P. Tarrío, A. M. Bernardos, and J. R. Casar, “Weighted Least Squares Techniques for Improved Received Signal Strength Based Localization,” Sensors, vol. 11, no. 12, pp. 8569–8592, Sep. 2011.
 P. Kristalina, W. Wirawan, and G. Hendrantoro, “The enhancement of node positioning accuracy using hybrid localization method for wireless sensor networks,” in 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2012, pp. 65–69.
 G. Zanca, F. Zorzi, A. Zanella, and M. Zorzi, “Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks,” in Proceedings of the workshop on Real-world wireless sensor networks, New York, NY, USA, 2008, pp. 1–5.
 J. Xu, “Distance Measurement Model Based on RSSI in WSN,” Wireless Sensor Network, vol. 02, no. 08, pp. 606–611, 2010.