• HAZEENA A J
• Sumimol L

Optimized calibration methods in localization algorithms of a Wireless sensor Network is an inevitable aspect to endow various application provided by the sensor networks. Self localization is being a pervasive innovation to provide power-efficient performance characteristics by empowering optimized position estimation of a node. Mostly localization algorithms in WSN resolve the problem of location discovery by combining different measurement methods with low complexity and an optional calibration scheme. Ascertaining the node position is a crucial issue to be considered for the wireless sensor network, since several calibration methods provide inferior measurements and poor throughput. This paper provides a perspective study and a comprehensive review of calibration in self localization algorithms and summarizes various network parameters for optimized location estimation in static Wireless Sensor Networks.

WSN, Decentralized Localization, RSSI, TDoA, AoA, ML, Calibration, Node Filtering.

"A Perspective Study on Calibration of Self Localization methods in Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 6, page no.274-275, June-2016, Available :http://www.jetir.org/papers/JETIR1606048.pdf

"A Perspective Study on Calibration of Self Localization methods in Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 6, page no. pp274-275, June-2016, Available at : http://www.jetir.org/papers/JETIR1606048.pdf