Traffic engineering in cognitive mesh networks: Joint link-channel selection and power allocation
作者: Maheen IslamMd. Abdur RazzaqueMd. Mamun-Or-RashidMohammad Mehedi HassanAbdulhameed AlelaiwiAtif Alamri
作者单位: 1Department of Computer Science and Engineering, University of Dhaka, Bangladesh
2College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
刊名: Computer Communications, 2018, Vol.116 , pp.212-224
来源数据库: Elsevier Journal
DOI: 10.1016/j.comcom.2017.12.002
关键词: Traffic engineeringThroughput maximizationLink-channel selectionPower allocationMINLPLagrangian dual decomposition
原始语种摘要: Abstract(#br)In this paper, we investigate traffic engineering (TE) methods in Cognitive Radio Wireless Mesh Networks (CR-WMNs) through joint selection of link-channel pairs at each forwarding router and allocating powers on those so as to boost up overall network throughput. We first present an optimization framework, Centralized Optimal Traffic Engineering (COTE), aiming at maximizing aggregated network throughput by selecting optimal set of link-channel pairs, power allocation over those and fair traffic splitting. Further, a centralized Suboptimal Traffic Engineering (SOTE) solution is proposed by employing Lagrangian dual decomposition on the COTE problem, to ensure a resolution in polynomial time. Finally, a Distributed Greedy Traffic Engineering (DGTE) method is proposed to ensure...
全文获取路径: Elsevier  (合作)
影响因子:1.079 (2012)

  • 功率 建议的
  • allocation 分配
  • selection 选择
  • engineering 工程
  • decomposition 分解
  • maximizing 最大化
  • proposed 建议的
  • power 建议的
  • channel 槽水道
  • polynomial 多项式
  • ensure 担保