Localizing a jammer in an indoor environment in wireless sensor networks\nbecomes a significant research problem due to the ease of blocking the communication\nbetween legitimate nodes. An adversary may emit radio frequency\nto prevent the transmission between nodes. In this paper, we propose detecting\nthe position of the jammer indoor by using the received signal strength\nand Kalman filter (KF) to reduce the noise due to the multipath signal caused\nby obstacles in the indoor environment. We compare our work to the Linear\nPrediction Algorithm (LP) and Centroid Localization Algorithm (CL). We\nobserved that the Kalman filter has better results when estimating the distance\ncompared to other algorithms.
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