Authors : S. Pavalarajan and P. Thirumurugan
Abstract: As, it is one of the applications of Wireless Sensor Network (WSN), object tracking is a challenging task in identifying the object in its detection area as well as informing its recent location in advance. Mostly, prediction scheme is applied in object tracking to maintain the low missing rate. When the objects are found missing, they have to be localized. Hence, more focus is given in enabling the missing object recovery by using the proposed optimization algorithm such as Simulated Annealing (SA) with Fuzzy Inference System (FIS) in a WSN and the extensive simulations are also shown to demonstrate the effectiveness of the proposed algorithm against the localization methods like centroid and multilateration to estimate its performance in terms of localization error.
S. Pavalarajan and P. Thirumurugan, 2016. Prediction Based Location Estimation in Wireless Sensor Network. Asian Journal of Information Technology, 15: 191-198.