Improved Distributed Dynamic Power Control for Wireless Mesh Networks

Authors:
Thomas Olwal;Felix Aron;Barend J. Wyk;Yskandar Hamam;Ntsibane Ntlatlapa;Marcel Odhiambo
Affiliations:
Meraka Institute at the CSIR, Pretoria, South Africa 0001 and The French South African Technical Institute in Electronics at the, Tshwane University of Technology,;The French South African Technical Institute in Electronics at the, Tshwane University of Technology,;The French South African Technical Institute in Electronics at the, Tshwane University of Technology,;The French South African Technical Institute in Electronics at the, Tshwane University of Technology,;Meraka Institute at the CSIR, Pretoria, South Africa 0001;The University of South Africa,
Venue:
ADHOC-NOW '08 Proceedings of the 7th international conference on Ad-hoc, Mobile and Wireless Networks
Year:
2008

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Abstract

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.