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Cognitive radio wireless sensor networks: applications, challenges and research trends
Gyanendra Prasad Joshi1, Seung Yeob Nam, Sung Won Kim
1Department of Information and Communication Engineering, Yeungnam University, Kyongsan, Gyeongsangbuk-do, Korea. joshi@ynu.ac.kr
Sensors (Basel, Switzerland)
|August 27, 2013
Summary
Cognitive radio wireless sensor networks enable opportunistic spectrum access. This study classifies literature, highlights research, and identifies challenges for autonomous networks.
Area of Science:
- Computer Science
- Electrical Engineering
- Wireless Communication
Background:
- Cognitive radio wireless sensor networks (CRWSN) represent an emerging field for opportunistic spectrum access.
- Research in CRWSNs is rapidly advancing, building upon wireless sensor networks and cognitive radio principles.
Purpose of the Study:
- To classify existing literature on CRWSNs.
- To highlight key research contributions and identify open research challenges.
- To provide a comprehensive overview of CRWSN advantages, distinctions, applications, and trends.
Main Methods:
- Literature review and classification.
- Analysis of sensing schemes, cooperation, and spectrum access methods.
- Identification of challenges and future research directions.
Main Results:
- CRWSNs offer advantages for dynamic spectrum access and Quality of Service (QoS).
- Key differences between ad hoc cognitive radio networks, wireless sensor networks, and CRWSNs are detailed.
- Various sensing schemes and spectrum access strategies are discussed.
Conclusions:
- CRWSNs present significant opportunities but also face numerous challenges.
- Further research is needed to realize fully autonomous CRWSN systems.
- Addressing open research challenges is crucial for the advancement of CRWSN technology.
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