Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks
Joint Authors
Zhai, Linbo
Wang, Hua
Liu, Chengcheng
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Spectrum sensing is an important issue in cognitive radio networks.
The unlicensed users can access the licensed wireless spectrum only when the licensed wireless spectrum is sensed to be idle.
Since mobile terminals such as smartphones and tablets are popular among people, spectrum sensing can be assigned to these mobile intelligent terminals, which is called crowdsourcing method.
Based on the crowdsourcing method, this paper studies the distributed scheme to assign spectrum sensing task to mobile terminals such as smartphones and tablets.
Considering the fact that mobile terminals’ positions may influence the sensing results, a precise sensing effect function is designed for the crowdsourcing-based sensing task assignment.
We aim to maximize the sensing effect function and cast this optimization problem to address crowdsensing task assignment in cognitive radio networks.
This problem is difficult to be solved because the complexity of this problem increases exponentially with the growth in mobile terminals.
To assign crowdsensing task, we propose four distributed algorithms with different transition probabilities and use a Markov chain to analyze the approximation gap of our proposed schemes.
Simulation results evaluate the average performance of our proposed algorithms and validate the algorithm’s convergence.
American Psychological Association (APA)
Zhai, Linbo& Wang, Hua& Liu, Chengcheng. 2017. Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1205927
Modern Language Association (MLA)
Zhai, Linbo…[et al.]. Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1205927
American Medical Association (AMA)
Zhai, Linbo& Wang, Hua& Liu, Chengcheng. Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1205927
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205927