A Novel DV-Hop Algorithm Based on Gauss-Newton Method

In numerous uses of wireless sensor networks (WSN), sensor nodes are required to transmit its sensed data along with the location information. Due to this reason, determining the location of the deployed sensor nodes is a fundamental research issue in WSN. In literature, there are many types of localization methods are proposed to solve this problem. Among them, DV-Hop is most widely known and discussed localization algorithm due to its simplicity and low cost. However, the main problem with the DV-Hop algorithm is its high positioning error. This problem arises due to the use of linear method such as least square method for solving the non-linear equations during the estimation of the position of sensors, which affects the localization precision. To overcome this problem, this paper introduces an enhanced DV-Hop algorithm that uses a non-linear method called Gauss-Newton method to achieve more accurate estimated location than the traditional DV-Hop algorithm. Keeping in mind the end goal to demonstrate the adequacy of the proposed enhanced DV-Hop calculation, its execution is surveyed and stood out from traditional DV-Hop through extensive simulations.