In Wireless Sensor Networks (WSNs), one of the important processes is localization of sensor nodes. Many applications of WSNs, such as military, medical, dynamic tracking and environment observation, need to localize sensor nodes first for collecting further information. In this paper, we propose a localization scheme in grid topologies for indoor environment. We convert a value of RSSI to its related distance, and use this information to create the corresponding Apollonius circles and calculate their intersection points as estimated positions of sensor nodes. Compared with other common localization algorithms, the algorithm devised in this study was more resilient to noise interferences in the environment.
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