In this work, an efficient approach without additional hardware and improved accuracy is proposed Trilateration based algorithm is a distributed beacon-based localization algorithm uses distance estimation to compute the 3-D position of nodes in a network with help of Received Signal Strength. The blind node can estimate its distance from anchor node using received signal strength and the position (x, y, z) in 3-D of the node can be computed from the position information obtained from the three and four anchor nodes using trilateration. Signal propagation model is used to find out the received power i.e. received signal strength from different sensor nodes. This method uses this received signal strength. This received signal strength information is used in the trilateration method to find out the exact location of the blind nodes in the sensor field. The average localization error is coming to be 0.0119 computed with 100 anchor nodes.

Trilateration, RSS, Wireless Sensor Network

[1] Hongyang Chen, Pei Huang, Marcelo Martins, Hing Cheung So, and Kaoru Sezaki,” Novel Centroid Localization Algorithm for Three-Dimensional Wireless Sensor Networks”, IEEE, 2008.
[2] Chia-Yen Shih, Pedro Jos´e Marr´on,” COLA: Complexity-Reduced Trilateration Approach for 3D Localization in Wireless Sensor Networks”, 2010 IEEE Fourth International Conference on Sensor Technologies and Applications.
[3] Oguejiofor O.S, Aniedu, Ejiofor H.C, Okolibe A.U,”Trilateration based Localization Algorithm for Wireless Sensor Networks”, IJISME, 2013.
[4] Pratik S. Patel, Jignesh R. Patel,” Localization Algorithm for Mobile Sensor Nodes Using 3D Space in Wireless Sensor Network”, International Journal on Recent and Innovation Trends in Computing and Communication, 2014.
[5] Labyad Asmaa, kharraz Aroussi Hatim, Mouloudi Abdelaaziz,” Localization Algorithm Research in Wireless Sensor Networks Based on Multilateration and Trilateration Techniques”, IEEE, 2014.
[6] C.Y.Chony and S.P Kumar, 2003 “sensor networks. Evolution opportunities and challenges”, proceeding of the IEEE, VOL.91.
[7] J. Bachrach and C. Taylor,” Handbook of Sensor Networks: Algorithms and Architectures”, chapter Localization in Sensor Networks, Wiley, 2005.
[8] Holger Karl, Andreas Willig, “Protocols and Architectures for Wireless Sensor Networks”, chapter Localization and positioning, Wiley, 2005.
[9] Aspnes,J., T. Eren, D.K. Goldenberg, A.S. Morse, W. Whiteley, Y.R. Yang, B.D. Anderson, and P.N. Belhumeur, “A theory of network localization”: IEEE Transactions on Mobile Computing: 2006,1663–1678.
[10] Yao-Hung Wu and Wei-Mei Chen,” An Intelligent Target Localization in Wireless Sensor Networks”, IEEE, 2014.
[11] Ian F.Akyildiz, Mehmet Can Vuran, “Wireless Sensor Networks”, Wiley, 2010.
[12] Amitangshu Pal,” Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges”, Network Protocols and Algorithms ISSN 1943-3581 2010, Vol. 2, No. 1.
[13] Nabil Ali Alrajeh, Maryam Bashir, Bilan shams, 2013.”Localization Techniques in Wireless Sensor Networks”, Hindawi Publishing Corporation, 2013.
[14] Zenon Chaczko, Ryszard Klempous, Jan Nikodem, Michal Nikodem, “Methods of Sensors Localization in Wireless Sensor Networks”, 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems ,2007.
[15] Vishal Garg, Mukul Jhamb,” A Review of Wireless Sensor Network on Localization Techniques”, International Journal of Engineering Trends and Technology (IJETT) - Volume4Issue4- April 2013.
[16] Mostafa Arbabi Monfared,” Localization in Wireless Sensor Networks Based on Fuzzy Logic”, Institute of Graduate Studies and Research, 2012.
[17] Yuan Zhang, Wenwu Wu, Yuehui Chen,” A Range-Based Localization Algorithm for Wireless Sensor Networks”, Journal of Communications and Networks, vol. 7, no. 4, December 2005.
[18] Weerat Katekaew, Chakchai So-In, Kanokmon Rujirakul, Boonsup Waikham,” H-FCD: Hybrid Fuzzy Centroid and DV-Hop Localization Algorithm in Wireless Sensor Networks”, 2014 IEEE Fifth International Conference on Intelligent Systems, Modeling and Simulation.
[19] Baohui Zhang, Jin Fan, Guojun Dai, Tom H. Luan,” A Hybrid Localization Approach in 3D Wireless Sensor Network”, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks, 2015.