Eavesdropper and Jammer Selection in Wireless Source Localization Networks

We consider a wireless source localization network in which target node emits signals that are used by anchor nodes to estimate the position. In addition and nodes, there can also exist eavesdropper jammer aim position of degrade accuracy localization, respectively. first propose problem selection with goal optimally placing given number subset possible positions as accurately possible. As performance metric, Cramer-Rao lower bound (CRLB) related estimation is derived, its convexity monotonicity properties investigated. By relaxing integer constraints, approximated convex optimization algorithms proposed for selection. Moreover, presence parameter uncertainty, robust version developed. Then, where place degrading much A CRLB expression from literature concavity derived. Also, derived after relaxation. joint certain numbers positions. Simulation results presented illustrate algorithms.