NDLI: Optimal Distributed Data Collection for Asynchronous Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Zhipeng Cai Shouling Ji Jing He Bourgeois, A.G.
Copyright Year	2012
Description	Author affiliation: Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA (Zhipeng Cai; Shouling Ji; Jing He; Bourgeois, A.G.)
Abstract	As a promising communication paradigm, Cognitive Radio Networks (CRNs) have paved a road for Secondary Users (SUs) to opportunistically exploit unused licensed spectrum without causing unacceptable interference to Primary Users (PUs). In this paper, we study the distributed data collection problem for asynchronous CRNs, which has not been addressed before. First, we study the Proper Carrier-sensing Range (PCR) for SUs. By working with this PCR, an SU can successfully conduct data transmission without disturbing the activities of PUs and other SUs. Subsequently, based on the PCR, we propose an Asynchronous Distributed Data Collection (ADDC) algorithm with fairness consideration for CRNs. ADDC collects data of a snapshot to the base station in a distributed manner without any time synchronization requirement. The algorithm is scalable and more practical compared with centralized and synchronized algorithms. Through comprehensive theoretical analysis, we show that ADDC is order-optimal in terms of delay and capacity, as long as an SU has a positive probability to access the spectrum. Finally, extensive simulation results indicate that ADDC can effectively finish a data collection task and significantly reduce data collection delay.
Sponsorship	IEEE Comput. Soc.
Starting Page	245
Ending Page	254
File Size	464106
Page Count	10
File Format	PDF
ISBN	9781457702952
ISSN	10636927
DOI	10.1109/ICDCS.2012.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed databases Interference Sensors Data communication Delay Base stations Synchronization capacity cognitive radio networks data collection distributed algorithm asynchronous wireless network delay
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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