Frugal Sensing: A Novel approach of Mobile Sensor Network Localization based on Fuzzy-Logic

The Node localization problem in the mobile sensor network gains much attention. Recently, parametric point selection adopted from the Loop division has produced great positioning accuracy in conventional settings. However, a state of the art solution suffers significantly when used in mobile-based network distinguish by a high degree of radio signal irregularity. Therefore, a novel localization algorithm is required to address these challenges. We have proposed a new localization scheme by deploying sensor motivated by frugality. The distance is computed by received signal strength (RSSI) in which localization is measured as a fuzzy multilateration scheme with the help of mobile anchor deployment. RSSI and the signal power is used as an input in a fuzification. The fuzzy toolbox of Matlab is used in the entire simulation process and compared with the state-of-the-art techniques. The simulation results demonstrate an overall improvement of 60 to 70 percent in the presence of high signal irregularity.