Int. J. of Ad Hoc and Ubiquitous Computing   »   2017 Vol.26, No.4

 

 

Title: Joint channel assignment and routing protocol for cognitive radio ad hoc networks

 

Authors: Gin-Xian Kok; Chee-Onn Chow; Yi-Han Xu; Hiroshi Ishii

 

Addresses:
Faculty of Engineering, Department of Electrical Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia
Faculty of Engineering, Department of Electrical Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia
College of Information Science and Technology, Nanjing Forestry University, Nanjing, 025, China
Department of Communication and Network Engineering, School of Information and Telecommunication Engineering, Tokai University, 2-3-23 Takanawa, Minato Tokyo 108-8619, Japan

 

Abstract: Conventional single channel wireless ad hoc networks usually suffer from low network throughput owing to the higher number of packet transmissions required for multi-hop communication. Using multiple channels within a single network can improve the network throughput. In multi-channel communication networks, the channels must be assigned appropriately to maximise network performance. Existing channel assignment methods are usually based on the approach of interference reduction/minimisation, for example, by making a link to operate on only one channel and different links to operate on different channels. In this paper, we go in the opposite direction and propose to make links to operate on more channels. A new distributed joint channel assignment and routing protocol for cognitive radio ad hoc networks called cognitive radio-enhanced AOMDV is proposed. Simulation studies showed that our method outperforms other methods.

 

Keywords: distributed method; channel assignment; routing; multi-hop wireless networks; wireless mesh networks; cognitive radio ad hoc networks; interference; channel metric; performance evaluation; simulation.

 

DOI: 10.1504/IJAHUC.2015.10001753

 

Int. J. of Ad Hoc and Ubiquitous Computing, 2017 Vol.26, No.4, pp.222 - 236

 

Available online: 28 Oct 2017

 

 

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