A Cluster-Based Link Recovery Mechanism for Spectrum Aware On-Demand Routing in Cognitive Radio Ad Hoc Networks

Tang, Chih Chieh; Ssu, Kuo Feng; Yang, Chun Hao

doi:10.1007/978-3-642-35452-6_61

Cited by 4 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the scheme adds extra delay in intra-cluster communication as cluster size can be huge and re-clustering is essential for mobility of nodes in [10]. ID based clustering protocol for CRN is presented in [11], where a buffering technique is used to reduce the packet loss. Re-clustering issue is dominant in this scheme both for varying spectrum availability and for mobile nodes.…”

Section: Related Workmentioning

confidence: 99%

Cluster Modelling for Cognitive Radio Ad-hoc Networks Using Graph Theory

Mansoor¹,

Baharun²,

Islam³

et al. 2015

Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

View full text Add to dashboard Cite

Abstract-With the swift expansion of wireless technologies, demand for radio spectrum is continuously mounting. Along with the spectrum scarcity problem, radio spectrums are also underutilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network model is a must for the implementation of cognitive radio networks. In this paper, an efficient cluster model for cognitive radio ad-hoc networks is presented using graph theory. The proposed clustering model is defined as a maximum edge biclique problem, where the spatial variations of spectrum availability are considered. This clustering scheme aims to maintain set of free common channels in every cluster, which allows smooth shifting among control channels. A parameter called Cluster Head Determination Factor (CHDF) is also introduced to select cluster-heads where clusters' operations are coordinated by cluster-heads. Each cluster comprises of a secondary clusterhead to combat the re-clustering issue for mobile nodes. Finally, simulation and comparative studies are conducted to evaluate the performance of the proposed method.

show abstract

Section: Related Workmentioning

confidence: 99%