Date of Publication :7th December 2016
Abstract: In many wireless sensor network applications like target tracking recovery operation, catastrophic management, & environmental monitoring the position estimation is a crucial element. When talking about the success of localization technique the localization accuracy is the most important factor to be considered. The RSSI range based localization algorithms is simple and cost effective localization technique that relies on measuring the received signal strength indicator (RSSI) for distance estimation. This paper present research & development of tracking system using RSSI, KF & UKF.The proposed system is an efficient solution for tracking the object
Reference :
-
- AvinashSrinivasan and Jie Wu” A Survey on Secure Localization in Wireless Sensor Networks”. Tom Van Haute, Bart Verbeke, Eli De Poorter, Ingrid Moerman” Optimizing Time of Arrival Localization Solutions for Challenging Industrial Environments” IEEE, DOI 10.1109/TII.2016.2550531,2015.
- Pengwu Wan, Zan Li, BenjianHao,” Time Delay Estimation of Co-Frequency Signals inTDOA Localization Based on WSN”IEEE,978-1-5090- 0690-8/16,2016.
- PooyanAbouzar, David G. Michelson, and MaziyarHamdi “RSSI-based Distributed SelfLocalization for Wireless Sensor Networks used in Precision Agriculture”, IEEE, DOI10.1109/TWC.2016.2586844,2016.
- Yu Xiuwu, ZhouLixing, Zhang Feng and Fan Feisheng” Weight Optimized Centroid Localization Algorithm on Radioactive Pollution Monitoring by WSN for Uranium Tailings”, IEEE, 978-1-5090-1997-7/16, 2013.
- XIE Hao,LIWeisheng, XU Bugong,”An Improved DVHOP Localization Algorithm Based on RSSI Auxiliary Ranging”,35th Chinese control conference,july 27-29,2016.
- T. Alhmiedat, T. and S. Yang, “A Survey: Localization and Tracking Mobile Targets through Wireless Sensor Network,” Proceedings of the PGNet conference, Liverpool, UK, pp. 48, 2007.