Localization in Wireless Sensor Networks Using Iterative Coding Technique in the Presence of Byzantines
M K Sharath, M. Shanthi · 2014
Wireless Sensor Networks (WSNs) are vulnerable to Byzantine attacks in which malicious sensors send falsified information to the Fusion Center (FC) with the goal of degrading inference performance. Here the focus is on target localization in WSNs using quantized data where, due to power and bandwidth constraints, each sensor sends quantized data to a Fusion Center (FC). The FC combines these local sensors‟ data to estimate the target location. Here the problem of target localization using quantized data in Wireless Sensor Networks in the presence of Byzantines (malicious sensors) is considered. Since the effect of Byzantines can be treated as errors in the transmitted data, the error correcting codes can be used for the task of target localization. We have designed an iterative scheme for target localization in which at every iteration the Fusion Center performs an M-ary hypothesis test and decides the Region of Interest for the next iteration.