Joint routing and channel assignment for delay minimization in multi-channel multi-flow mobile cognitive Ad hoc networks

Tong Zhou, Feilong Tang, Jie Li, Yanqin Yang, Wenchao Xu, Bin Yao, Minyi Guo

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

Channel interference and node mobility cause significant performance degradation to wireless networks. In multichannel multi-flow mobile cognitive ad hoc networks, it becomes even worse due to both unexpected primary user activities and potential interference among multiple flows. In this paper, we propose a Joint Routing and Channel Assignment (JRCA) approach based on delay prediction. Firstly, it formulates the JRCA problem with the objective of delay minimization. Next, a delay prediction model is proposed based on the channel collision probability. Then, a heuristic algorithm joints routing and channel assignment is designed to solve the JRCA problem. the JRCA algorithm can find out the path with minimal end- toend (e2e) delay. NS2-based simulation results demonstrate that the JRCA approach significantly outperforms related proposals in terms of average e2e delay.

Original languageEnglish
Article number7417505
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2015
Externally publishedYes
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015

Keywords

  • Cognitive radio network
  • End-to-end delay
  • Routing and channel allocation

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