Measuring the connectivity of a cognitive radio ad-hoc network

Authors:
Anna Abbagnale;Francesca Cuomo;Emanuele Cipollone
Affiliations:
University of Rome "Sapienza," INFOCOM Department, Rome, Italy;University of Rome "Sapienza," INFOCOM Department, Rome, Italy;University of Rome "Sapienza," INFOCOM Department, Rome, Italy
Venue:
IEEE Communications Letters
Year:
2010

Citing 2
Cited 1

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
CRAHNs: Cognitive radio ad hoc networks

Ad Hoc Networks

Temporal Traffic Dynamics Improve the Connectivity of Ad Hoc Cognitive Radio Networks

IEEE/ACM Transactions on Networking (TON)

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Abstract

In Cognitive Radio Ad-Hoc Networks (CRAHN) the behavior of the primary users influences the secondary network connectivity and the relevant performance. The methodologies used to evaluate network connectivity have to be worked up to take into account this aspect. In this letter we propose the use of Laplacian matrix and its second smallest eigenvalue to measure the network algebraic connectivity of a CRAHN. We re-elaborate the Laplacian matrix in order to have in its second smallest eigenvalue a function of the primary users behavior expressed as an activity factor. In this way we are able to monitor the algebraic connectivity of CRAHNs. This metric can be a useful instrument for network planning, data routing and network maintenance. Performance results show how this methodology can be efficiently applied in this kind of networks.