Publication

Abstract : Fishermen at sea lack proper localization and tracking systems leading to increased loss of life at sea due to disasters, engine failure, and collision with ships. To reduce the impact of such scenarios we need an efficient localization and tracking algorithm for approximate localization of fishing vessels in a spatio – temporal domain. In this work, we have analyzed few existing algorithms for localization of mobile sensor nodes and based on these results, an Enhanced Chord Based Localization Algorithm (ECLA) has been designed and developed. The proposed algorithm is implemented and extensively tested on the basis of different performance parameters such as mobility, localization accuracy, execution time etc. The experimental results clearly show that the proposed algorithm has better localization accuracy compared to the existing localization algorithms. The accuracy of the proposed ECLA algorithm is 26.5% better than that of Monte Carlo Boxed (MCB) localization scheme.