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A Novel Algorithm to Improve Indoor Localization Accuracy and Path-Loss Reduction Using Real Time RSSI

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Distance estimation is vital for localization and many other applications in wireless sensor networks. Research has revealed that the correlation between distance and RSSI (Received Signal Strength Indication) values is the key of ranging and localization technologies in wireless sensor networks (WSNs). Distance measurement based on RSSI (Received Signal Strength Indication) is a low cost and low complexity of the distance measurement technique, and it is widely applied in the range-based localization of the WSN. In this paper, an Log Normal Shadowing Model (LNSM) that estimates the distance between sensor nodes in WSNs is presented. The performance of this model and proposed method are evaluated and analyzed in an indoor environment with and without considering obstacles by performing an empirical measurement using Crossbow TelosB wireless sensor motes. Our result shows that the proposed method reduced distance error and path-loss effectively than LNSM. The results of these evaluations would contribute towards obtaining accurate locations of wireless sensor nodes.
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Localization; Received Signal Strength Indicator (RSSI); Power Levels; Path-Loss; Distance Error

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I.F.Akyildiz,W.Su, Y.Sankarasubramaniam and E.Cayirci, “Wireless sensor network: A survey”, Computer networks,Vol 38, No 4 , pp-393-422, 2002

[2] Xue Wang, Dao-wei Bi , Liang Ding, and Sheng Wang, ‘Agent Collaborative Target Localization and Classification, Wireless Sensor Networks’, Sensors 2007, 7, 1359-1386.

[3] Jennifer Yick, Biswanath Mukherjee, and DipakGhosal, ‘Wireless sensor network survey’, Computer Networks Volume 52, Issue 12, 22 August 2008, Pages 2292-2330.

[4] R. Peng, M. Sichitiu, “Angle of arrival localization for wireless sensor networks”, In Proc. of IEEE SECON, Reston, VA, 2006.

[5] Z.MaryLivinsa , Dr.S.Jayashri, ‘Performance Analysis of Diverse Environment based on RSSI Localization Algorithms in WSNs’,IEEE conference on Information & communication technologies, 11-12 April 2013 , Page(s):572 – 576.

[6] Wu Chengdong, Shenyang, China,Chen Shifeng;Zhang Yunzhou;Cheng Long;Wu Hao,‘A RSSI-based probabilistic distribution localization algorithm for wireless sensor network ’, 6th IEEE Joint International on Information Technology and Artificial Intelligence Conference (ITAIC), 20-22 Aug. 2011, Volume:1, Page(s):333 - 337 .

[7] Benkic, K., Malajner, M., Planinsic, P., Cucej, Z, “Using RSSI Value for Distance Estimation in Wireless Sensor Networks Based on Zigbee”.

[8] Xu, J., Liu, W., Lang, F., Zhang, Y., Wang, C, “Distance Measurement Model Based on RSSI in WSN” Wireless Sensor Network, 606-611 (2010).

[9] Omotayo G. Adewumi, KarimDjouani, Anish M. Kurien ,”RSSI based Indoor and Outdoor distance estimation for localization in WSN”,IEEE, pages 1534-1539 (2013)

[10] N. Patwari, A. Hero, “Using proximity and quantized RSS for sensor localization in wireless networks”, In Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications, pp. 20–29, 2003.

[11] Frank Reichenbach and Dirk Trimmermann, “Indoor localization with low complexity in wireless sensor networks,” IEEE International Conference on Industrial Informatics, pp 1018-1022, 2006.

[12] Guoqiang Mao, BarisFidan, Brian D.O.Anderson,“Wireless sensor network localization techniques”, computer networks, vol.51, No.10, pp-2529-2553,2007.

[13] A. Boukerche, H. A. B. F. Oliveira, E. F. Nakamura, A. A. F.Loureiro, ''Localization Systems for Wireless Sensor Networks'', IEEE Wireless Communications, pp. 6-12, Dec.2007.

[14] Xiao YI,Yu LIU and Lu DENG, “ A novel environment self-adaptive localization algorithm based on RSSI for wireless sensor networks” , pp-360-363, IEEE 2010.

[15] Jungang ZHENG Chengdong WU Hao CHU pengJI,“Localization algorithm based on RSSI and distance geometry constrain for wireless sensor network”,IEEE, pp-2836-2839, 2010.

[16] HyochangAhn and Sang-Burm Rhee, “Simulation of a RSSI-Based indoor localization system using Wireless sensor network”, IEEE 2010.


[18] htttp://

[19] 3Guoqiang Mao, Brian D.O. Anderson and BarisFidan, “Path loss exponent estimation for wireless sensor network localization”, Science Direct, Computer networks, pp. 2467–2483, 2006.

[20] T. S. Rappaport, Wireless Communications : Principles and Practice, 2nd edition, Prentice Hall ,2002.

[21] Vadivukkarasi, K., Kumar, R., Enhancement of indoor localization by path-loss reduction using modified rssi technique, (2014) International Review on Computers and Software (IRECOS), 9 (5), pp. 865-871.

[22] Bou-El-Harmel, A., Benbassou, A., Belkadid, J., Design of a three-dimensional antenna UHF in the form cubic intended for RFID, wireless sensor networks (WSNs) and RFID sensor networks (RSNs) applications, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (6), pp. 260-264.

[23] Krishnan, S., Enhanced energy efficient method for WSN to prevent far-zone, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (4), pp. 137-142.

[24] Shankar, T., Shanmugavel, S., Karthikeyan, A., Hybrid approach for energy optimization in wireless sensor networks using PSO, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (4), pp. 221-226.

[25] Maizate, A., El Kamoun, N., A new metric based cluster head selection technique for prolonged lifetime in wireless sensor networks, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (4), pp. 227-236.

[26] Shankar, T., Shanmugavel, S., Karthikeyan, A., Modified harmony search algorithm for energy optimization in WSN, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (4), pp. 214-220.


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