An Improved Calibration Specific Self Localization Routing Protocol in Wireless Sensor Networks
Hazeena A J1, Sumimol L2
1Hazeena A. J., M. Tech Scholar Department of Computer Science and Engineering, L.B.S. Institute of Technology For Women, Thiruvananthapuram (Kerala), India.
2Sumimol L., Assistant Professor Department of Computer Science and Engineering, L.B.S. Institute of Technology For Women, Thiruvananthapuram (Kerala), India.
Manuscript received on 13 August 2016 | Revised Manuscript received on 20 August 2016 | Manuscript Published on 30 August 2016 | PP: 200-204 | Volume-5 Issue-6, August 2016 | Retrieval Number: F4714085616/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Localization problem is inevitable to maintain flawless performance of the Wireless Sensor Networks (WSN) which are typically based on accurate location of the sensor nodes. Sensor nodes are distributed randomly and there is no supporting infrastructure to manage after deployment. Various localization algorithms were implemented to empower the optimized discovery of the node with Maximum Likelihood (ML) and high degree of precision in routing protocols. Typical strategies were employed to improve the sensor location information by discarding the structural errors generated during the position estimation via calibration schemes in localization algorithms. Certain technologies are concentrated on either implementing calibration methods or optional error detection schemes by using Maximum likelihood methods. The proposed scheme uses a calibration method in self Localization algorithm with an augmented routing protocol to obtain the optimized location of the sensor nodes. This method is enhanced from the AODV Routing Protocol provided with an iterative calibration method which accurately estimates the localization information based on the likelihood calculated previously and comparing the relative location with the reference node position. After ascertaining the minimal error in relativity parameter the routing protocol updates the optimal location and then establishing normal routing with other nodes. The efficiency and throughput analysis is estimated using the network simulator version 3.24. The proposed calibration scheme is efficient for sensitive sensor platforms to improve the performance characteristics of sensor networks.
Keywords: WSN, Decentralized localization, RSSI, TDoA , AoA , ML, Calibration Scheme ,Node Filtering, AODV
Scope of the Article: WSN