LS and MMSE based Localization Algorithm for WSNs amid obstacles

In recent years, optimization and Wireless Sensor Networks (WSNs) are extensively used in numerous milieus and hostile topographies. In this paper, we proposed an improved localization algorithm by means of Least square and Minimum mean square error that evolvements with the basic DV-Hop algorithm. The localization error is shortened by our proposed algorithm and improves the localization accuracy of the basic DV-Hop algorithm with minimum number of beacon nodes. The proposed method is simulated and compared with other algorithms such as DV-Hop, ROCRSSI and APIT. The simulation is considered both with obstacle as well as without obstacle.