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      Utilization-based dynamic scheduling algorithm for wireless mesh networks

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      Author
      Kas, M.
      Korpeoglu, I.
      Karasan, E.
      Date
      2010-10
      Source Title
      Eurasip Journal on Wireless Communications and Networking
      Print ISSN
      1687-1472
      Publisher
      SpringerOpen
      Volume
      2010
      Pages
      1 - 11
      Language
      English
      Type
      Article
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      Abstract
      Channel access scheduling is one of the key components in the design of multihop wireless mesh networks (WMNs). This paper addresses the allocation/demand mismatch problem observed in oblivious WMN channel access scheduling schemes and proposes Utilization-Based Scheduling (UBS). UBS is a Spatial-TDMA- (STDMA-) based dynamic channel access scheduling scheme designed with the aim of increasing the application-level throughput. In UBS, each node has a weight, which is dynamically adjusted in accordance with the node's slot usage history and packet-queue occupancy. UBS is a fully distributed algorithm, where each node adjusts its own weight and makes pseudorandom transmission attempts using only the locally available information. To demonstrate the performance improvements of the dynamic weight adjustment, the performance of UBS is compared against other channel access scheduling schemes through extensive ns-2 simulations under both uniform and nonuniform traffic patterns. © 2010 Miray Kas et al.
      Keywords
      Channel access scheduling
      Distributed algorithm
      Dynamic scheduling algorithms
      Dynamic weight
      Key component
      Mismatch problems
      Multi-hop wireless mesh networks
      Nonuniform traffic patterns
      NS-2 simulations
      Performance improvements
      Pseudo random
      Scheduling algorithms
      Time division multiple access
      Wireless local area networks (WLAN)
      Wireless mesh networks (WMN)
      MESH networking
      Permalink
      http://hdl.handle.net/11693/22075
      Published Version (Please cite this version)
      http://dx.doi.org/10.1155/2010/312828
      Collections
      • Department of Computer Engineering 1368
      • Department of Electrical and Electronics Engineering 3524
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