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Mobility aware distributed topology control in mobile ad-hoc networks using mobility pattern matching

Khaledi, MH ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/WiMob.2009.83
  3. Abstract:
  4. Topology control algorithms in mobile ad-hoc networks aim to reduce the power consumption while keeping the topology connected. These algorithms can preserve network resources and increase network capacity. However, few efforts have focused on the issue of topology control in presence of node mobility. One of the notable mobility aware topology control protocols is the "Mobility Aware Distributed Topology Control Protocol". The main drawback of this protocol is on its mobility prediction method. This prediction method assumes linear movements and is unable to cope with sudden changes in the mobile node movements. In this paper, we propose a pattern matching based mobility prediction method in which every mobile node predicts its future location through finding similar patterns in its history of movements. Simulation results show significant improvements in terms of prediction accuracy and power consumption compared to the other known algotithms. © 2009 IEEE
  5. Keywords:
  6. Distributed topology control ; Mobility models ; Mobility prediction ; Mobile nodes ; Mobility model ; Mobility pattern ; Mobility predictions ; Mobility-aware ; Network capacity ; Network resource ; Node mobility ; Power Consumption ; Prediction accuracy ; Prediction methods ; Similar pattern ; Simulation result ; Sudden change ; Topology control ; Topology control algorithms ; Topology control protocols ; Algorithms ; Computer science ; Electric power utilization ; Internet protocols ; Mobile ad hoc networks ; Pattern matching ; Simulators ; Telecommunication networks ; Topology ; Wireless telecommunication systems ; Ad hoc networks
  7. Source: WiMob 2009 - 5th IEEE International Conference on Wireless and Mobile Computing Networking and Communication, 12 October 2009 through 14 October 2009, Marrakech ; 2009 , Pages 453-458 ; 9780769538419 (ISBN)
  8. URL: https://dl.acm.org/citation.cfm?id=1685999.1686770