Cognitive greedy-backhaul routing metric exploiting cross-layer design for wireless ad hoc and mesh networks

Bo Han; David Grace; Paul Mitchell

5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Cognitive greedy-backhaul routing metric exploiting cross-layer design for wireless ad hoc and mesh networks

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9233,
    author={Bo Han and David Grace and Paul Mitchell},
    title={Cognitive greedy-backhaul routing metric exploiting cross-layer design for wireless ad hoc and mesh networks},
    proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2010},
    month={9},
    keywords={Object recognition channel allocation  cognitive radio  radio links  telecommunication network routing  wireless mesh networks},
    doi={10.4108/ICST.CROWNCOM2010.9233}
}

Bo Han
David Grace
Paul Mitchell
Year: 2010
Cognitive greedy-backhaul routing metric exploiting cross-layer design for wireless ad hoc and mesh networks
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9233

Bo Han¹^,*, David Grace¹^,*, Paul Mitchell¹^,*

1: Communications Research Group, Department of Electronics, University of York, York, United Kingdom

*Contact email: bh504@ohm.york.ac.uk, dg@ohm.york.ac.uk, pdm106@ohm.york.ac.uk

Abstract

We propose a 'cognitive greedy-backhaul' (CGB) routing metric that associates routing with an appropriate channel assignment scheme to determine cognitive backhaul links. Those backhaul links are established in congested areas where higher capacities are required. CGB forces nodes to select those backhaul links which have higher capacities to reduce the relaying burdens that are caused by nodes hopping around in the network. CGB performance is compared with shortest-path (SH) and available capacity-aware routing (AC) metrics and simulation results show that the CGB routing metric can significantly improve end-to-end throughput by using those cognitive backhaul links.

Keywords: Object recognition channel allocation cognitive radio radio links telecommunication network routing wireless mesh networks

Published: 2010-09-16
Publisher: IEEE

: http://dx.doi.org/10.4108/ICST.CROWNCOM2010.9233