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A Self-Learning MAC Protocol for Energy Harvesting and Spectrum Access in Cognitive Radio Sensor Networks
Joint Authors
Hawa, Mohammed
Darabkh, Khalid A.
Al-Zubi, Raed
Al-Sukkar, Ghazi
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-23
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The fusion of Wireless Sensor Networks (WSNs) and Cognitive Radio Networks (CRNs) into Cognitive Radio Sensor Networks (CRSNs) is quite an attractive proposal, because it allows a distributed set of low-powered sensor nodes to opportunistically access spectrum bands that are underutilized by their licensed owners (called primary users (PUs)).
In addition, when the PUs are actively transmitting in their own bands, sensor nodes can switch to energy harvesting mode to obtain their energy needs (for free), to achieve almost perpetual life.
In this work, we present a novel and fully distributed MAC protocol, called S-LEARN, that allows sensor nodes in a CRSN to entwine their RF energy harvesting and data transmission activities, while intelligently addressing the issue of disproportionate difference between the high power necessary for the node to transmit data packets and the small amount of power it can harvest wirelessly from the environment.
The presented MAC protocol can improve both the network throughput and total harvested energy, while being robust to changes in the network configuration.
Moreover, S-LEARN can keep the cost of the system low, and it avoids the pitfalls from which centralized systems suffer.
American Psychological Association (APA)
Hawa, Mohammed& Darabkh, Khalid A.& Al-Zubi, Raed& Al-Sukkar, Ghazi. 2016. A Self-Learning MAC Protocol for Energy Harvesting and Spectrum Access in Cognitive Radio Sensor Networks. Journal of Sensors،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1110716
Modern Language Association (MLA)
Hawa, Mohammed…[et al.]. A Self-Learning MAC Protocol for Energy Harvesting and Spectrum Access in Cognitive Radio Sensor Networks. Journal of Sensors No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1110716
American Medical Association (AMA)
Hawa, Mohammed& Darabkh, Khalid A.& Al-Zubi, Raed& Al-Sukkar, Ghazi. A Self-Learning MAC Protocol for Energy Harvesting and Spectrum Access in Cognitive Radio Sensor Networks. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1110716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110716