DocumentCode
429607
Title
Adaptive hierarchical resource management for satellite channel in hybrid MANET-satellite-Internet network
Author
Liu, Nelson X. ; Zhou, Xiaoming ; Baras, John S.
Author_Institution
Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
Volume
6
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
4027
Abstract
MANETs are often deployed in an infrastructure-less or hostile region where the satellite provides the only link for the MANETs to communicate with the rest of the world. It faces many challenges to support multiple serviced communications between MANETs and Internet through satellite. In this paper, we propose an efficient resource management scheme called AHRM to dynamically allocate bandwidths among multiple MANET users and multiple priority and non-priority services sharing a multi-access satellite channel. It uses a flexible hierarchical structure to exploit the channel utility and resolve contention from two levels. A bandwidth adaptation algorithm is designed to adjust the allocation dynamically in response to traffic and link status changes. The algorithm turns out to be in line with reinforcement learning and is a customized version of it for the practical satellite network setting. Implementation issues are discussed. Simulation results are presented, showing that the scheme can guarantee fast delivery of critical messages in spite of channel contention, and significantly improve the performance of multiple services.
Keywords
IntServ networks; Internet; ad hoc networks; channel allocation; learning (artificial intelligence); mobile satellite communication; multi-access systems; AHRM; adaptive hierarchical resource management; adaptive hierarchical scheduling; bandwidth adaptation; contention resolution; dynamic bandwidth allocation; hybrid MANET-satellite-Internet network; link status; mobile wireless ad hoc network; multiaccess satellite channel; multiple priority services; multiple service communications; reinforcement learning; traffic status; Algorithm design and analysis; Artificial satellites; Bandwidth; Delay; Educational institutions; Intelligent networks; Mobile ad hoc networks; Resource management; Telecommunication traffic; Web and internet services;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1404834
Filename
1404834
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