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Joint Spatial-Temporal Access Scheme of Multi-hop Cognitive Radio Sensor Networks
- Source :
- International Journal of Sensor Networks. 1:1
- Publication Year :
- 2016
- Publisher :
- Inderscience Publishers, 2016.
-
Abstract
- This paper studies a novel channel access scheme for delay-sensitive multi-hop cognitive radio sensor networks (CRSNs) with fixed decode-and-forward relaying. We first formulate a two-dimensional spatial-temporal opportunity model wherein free and sharing opportunities are defined, and then propose a joint spatial-temporal access scheme (JSTAS) to achieve successive channel access for continuous data transmission. By spatial sensing and temporal sensing, the cognitive sensors with JSTAS control the transmission powers by fully considering their maximum transmission powers, the interference constraints of multiple primary receivers and the interference from one primary transmitter. To evaluate JSTAS, we derive the closed-form outage probability under Rayleigh fading channels and make comparisons among five different schemes. Simulation results demonstrate that JSTAS has better outage performance than that of pure spatial or temporal access scheme under all considered scenarios.
- Subjects :
- Computer Networks and Communications
Computer science
business.industry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Transmitter
020302 automobile design & engineering
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Outage probability
Computer Science Applications
Continuous data
Hop (networking)
0203 mechanical engineering
Control and Systems Engineering
Cognitive radio sensor networks
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
business
Wireless sensor network
Computer Science::Information Theory
Rayleigh fading
Communication channel
Computer network
Subjects
Details
- ISSN :
- 17481287 and 17481279
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- International Journal of Sensor Networks
- Accession number :
- edsair.doi.dedup.....e8b107d9f0efc33f867f003b67513d1b
- Full Text :
- https://doi.org/10.1504/ijsnet.2016.10001281