An Adaptive Channel Reconfiguration Algorithm for Multi-Channel Multi-Radio Wireless Mesh Networks
| Autor: | Arun A. Kanagasabapathy, A. Antony Franklin, C.S.R. Murthy |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Optimization
Reconfiguration algorithm Computer science In-channels Throughput Link scheduling Multi channel Scheduling (computing) Traffic adaptation Channel assignment scheme Wireless Electrical and Electronic Engineering Underlying networks Cluster analysis MESH networking Adaptive algorithm Wireless mesh network Channel allocation schemes business.industry Wireless network Applied Mathematics ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Channel Assignment Control reconfiguration Traffic demands Adaptive algorithms Wireless mesh Computer Science Applications Net work utilization Traffic matrices Mobile telecommunication systems Extensive simulations Traffic disruption Multi-radio Wireless mesh networks (WMN) business Communication channel Computer network |
| Zdroj: | IEEE Transactions on Wireless Communications. 9:3064-3071 |
| ISSN: | 1536-1276 |
| DOI: | 10.1109/twc.2010.080210.090567 |
| Popis: | The maximum utilization of Multi Channel - Multi Radio Wireless Mesh Networks (WMNs) can be achieved only by intelligent Channel Assignment (CA) and Link Scheduling (LS). A common CA and LS may not be optimal, in terms of utilization of underlying network resources, for every traffic demand in the network. Using the best CA and LS for every traffic demand results in channel reassignments which in turn lead to traffic disruption in the network. This makes WMNs very unreliable. In this paper, we present a simple, general, and efficient framework to quantitatively evaluate a reconfiguration policy, based on the two conflicting objectives, namely maximizing network utilization and minimizing traffic disruption. Then we propose a reconfiguration algorithm called Clustered Channel Assignment Scheme (CCAS), based on clustering of similar traffic matrices. We demonstrate the effectiveness of CCAS which mainly depends on the correlation between successive traffic matrices through extensive simulation studies. � 2010 IEEE. |
| Databáze: | OpenAIRE |
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