Improved distributed dynamic power control for wireless mesh networks

被引：0

作者：

Olwal, Thomas ^{[1
,2
]}

Aron, Felix ^{[2
]}

van Wyk, Barend J. ^{[2
]}

Hamam, Yskandar ^{[2
]}

Ntlatlapa, Ntsibane ^{[1
]}

Odhiambo, Marcel ^{[3
]}

机构：

[1] CSIR, Meraka Inst, POB 395, ZA-0001 Pretoria, South Africa

[2] Tshwane Univ Technol, French South African Tech Inst Elect, Pretoria, South Africa

[3] Univ South Africa, Pretoria, South Africa

来源：

AD-HOC, MOBILE AND WIRELESS NETWORKS, PROCEEDINGS | 2008年 / 5198卷

关键词：

energy-constrained mesh nodes; MAC-DDPC algorithm; transmission scheduling probability; WMNs;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：357 / +

页数：3

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[2]

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