Eavesdropper Selection Strategies in Wireless Source Localization Networks

Cuneyd Ozturk, Sinan Gezici
2020 ICC 2020 - 2020 IEEE International Conference on Communications (ICC)  
We consider a wireless source localization network in which eavesdropper nodes aim to estimate the position of a target node. We formulate the problem of selecting a set of NE positions out of N possible positions for placing eavesdropper nodes in order to estimate the target node position as accurately as possible. The Cramér-Rao lower bound related to the estimation of the target node position by eavesdropper nodes is derived, and its monotonicity and convexity properties are investigated.
more » ... relaxation of the integer constraints, the eavesdropper selection problem is approximated by a convex optimization problem, which is used to propose two algorithms for eavesdropper selection. Moreover, in the presence of parameter uncertainty, a robust version of the eavesdropper selection problem is investigated. Simulation results are presented to examine performance of the proposed algorithms.
doi:10.1109/icc40277.2020.9148683 dblp:conf/icc/OzturkG20 fatcat:n7qa2yhcv5cghcufi4jf4hc254