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Robust collaborative spectrum sensing based on beta reputation system

Robust collaborative spectrum sensing based on beta reputation system

Arshad, Kamran and Moessner, Klaus (2011) Robust collaborative spectrum sensing based on beta reputation system. In: 2011 Future Network & Mobile Summit [Conference Proceedings]. lIMC International Information Management Corporation Ltd., Dublin, Ireland. ISBN 9781905824250

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Abstract

Collaborative spectrum sensing has been widely accepted as a promising approach to improve spectrum sensing performance by exploiting spatial diversity of cognitive radio users. However, in the presence of malfunctioning or misbehaved users, performance of collaborative spectrum sensing deteriorates significantly. In this paper, a credibility based mechanism for collaborative spectrum sensing using beta reputation system has been introduced. Our proposed method works well even if the total number of misbehaved users is unknown. In the proposed scheme, fusion center assigns weight to each user observation based on individual user credibility score. User credibility score is calculated using beta reputation system and simulation results show that proposed scheme significantly improves the reliability of aggregated data in the presence of falsified users.

Item Type: Conference Proceedings
Title of Proceedings: 2011 Future Network & Mobile Summit [Conference Proceedings]
Additional Information: [1] This paper was first presented at the 2011 Future Network & Mobile Summit (FutureNetw), 2011 held from 15-17 June 2011 in Warsaw, Poland. [2] ISBN: 9781905824304; 9781467303200
Uncontrolled Keywords: diversity reception, beta reputation system, cognitive radio user, credibility based mechanism, fusion center assign, individual user credibility score, misbehaved user, robust collaborative spectrum sensing, spatial diversity, user observation, cascading style sheets, cognitive radio, collaboration, equations, mathematical model, sensors, vectors
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11318

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