Improved Distributed Dynamic Power Control for Wireless Mesh Networks

摘要

One of the main objectives of transmission power control (TPC) in wireless mesh networks (WMNs) for rural area applications is to guarantee successful packet transmission and reception (SPT-R) with low power consumption. However, the SPT-R depends on co-channel multiple access interferences (MAI) including the effects from hidden terminals. In this paper we investigate how MAI can be minimized through a MAC-dependent transmission scheduling probability (TSP) model. In what follows, we show how a distributed scheduling probability model improves the dynamic power control algorithm. The resulting optimal power control is derived from a network centric objective function. The analytical results show that transmit power solutions converge to a unique fixed point. The simulation results show that a high average feasibility rate, given a coexistence pattern, can be achieved. There is significant average transmission power savings compared to conventional methods.