Noncooperative Differential Game Based Efficiency-aware Traffic Assignment for Multipath Routing in CRAHN

  • Authors:
  • Lin Lin;An-Ping Wang;Xian-Wei Zhou;Xu-Na Miao

  • Affiliations:
  • Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing, People's Republic of China 100083 and State Key Laboratory of Wir ...;Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing, People's Republic of China 100083;Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing, People's Republic of China 100083;Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing, People's Republic of China 100083

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2012

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Abstract

Comparing to the traditional multihop ad hoc networks, dynamic spectrum environment is the special characteristic of CRAHN (cognitive radio ad hoc networks). Therefore, the cognitive users will show their selfishness on spectrum bandwidth cost in multihop communication. In CRAHN, multipath routing is a reasonable choice when considering efficiency and stability. In order to take further advantage of efficiency of multipath routing, this paper study the efficiency-awareness traffic assignment problem of multipath routing in CRAHN. There are several existing game based traffic assignment schemes for selfish wireless network, however, all of them can not be directly applicable to CRAHN. In addition, none of the existing works studied whether the scheme is efficient. In this paper, a noncooperative differential game is proposed, and the equilibrium of the game is computed and proved to be an efficient traffic assignment for multipath routing in CRAHN. Besides this, we also optimize the total cost of game from the game designer's point of view, and give a simple example to illustrate the optimization procedure.