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Received signal strength (RSS)-based mobile localizationhas become popular due to its inexpensive localizationsolutions in large areas. Compared to various physical propertiesof radio signals, RSS is an attractive approach to localizationbecause it can easily be obtained through existing wireless deviceswithout any additional hardware. Although RSS is not consideredto be a good choice for estimating physical distances, it providessome useful distance related information in adding and indicatingconnectivity information in neighboring nodes. RSS-basedlocalization is generally divided into range-based and rangefree.Range-based localization can achieve excellent accuracybut is too costly to apply to large-scale networks. Methods ofrange-free localization are regarded as cost-effective solutionsfor localization in sensor networks. However, the localizationsare subject to the effect of radio patterns that affect variations inthe radial distance estimates between nodes. It is a challengingtask to select an efficient RSS value that can provide smallvariations in the radial distance in wireless environments. Wepropose a method of Mobile Localization using the Proximitiesof Selective coordinates (MoLPS) to localize target nodes by usinginformation on proximities between target nodes and mobilereceivers as a metric to estimate the location of target nodes.We ran a simulation experiment to assess the performance ofMoLPS with 100 target nodes that were randomly deployedalong a sensory field boundary. We found from the results of thesimulation experiment that localization error had been reducedto below 2m in more than 80% of the target nodes.

Mobile Receiver-Assisted Localization Based on Selective Coordinates in Approach to Estimating Proximity for Wireless Sensor Networks