Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines

We consider the problem of target localization using quantized data in Wireless Sensor Networks in the presence of Byzantines (malicious sensors). Since the effect of Byzantines can be treated as errors in the transmitted data, we propose the use of error correcting codes for the task of target localization. We design coding based iterative schemes for target localization where, at every iteration, the Fusion Center performs an M-ary hypothesis test and decides the Region of Interest for the next iteration. Simulation results show that our proposed schemes provide a better performance as compared to the traditional Maximum Likelihood Estimation and are also computationally much more efficient.