Resource Management Games for Distributed Network Localization

Abstract

Resource management in the power and time–frequency domains is an important issue in distributed network localization. Since highly accurate ranging requires a large amount of time–frequency resources, cooperation among nodes without proper link selection may not be feasible. To address this issue, two resource management games are formulated, and Stackelberg equilibrium and link bargaining equilibrium are proposed as the solution concepts for efficient link selection and power allocation. Distributed algorithms are derived and analyzed using game theoretical approaches. It is demonstrated that the proposed strategies can achieve a lower mean squared error of position estimation with fewer ranging measurements.