Abstract

A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.

Highlights

  • Quality of Service (QoS) support is a challenging issue due to resource constraints, such as processing power, memory, and power sources in wireless sensor nodes. This is more challenging in Cognitive radio (CR)-wireless sensor networks (WSNs) because in addition to the challenges in WSNs, it has one more challenge to protect the rights of primary users (PU) to access the incumbent spectra

  • Cognitive Radio Wireless Sensor Networks (CR-WSN) are more vulnerable to security threats than the conventional WSNs, because there is no strict cooperation between PUs and secondary users (SU) communication

  • A CR wireless sensor network is a type of wireless sensor network that comprises spatially-distributed autonomous CR equipped wireless sensors to monitor the physical or environmental conditions cooperatively

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Summary

Conventional Wireless Sensor Networks

Communications in wireless sensor networks (WSNs) are event driven. Whenever an event triggers wireless sensor (WS) nodes generate bursty traffic. In a dense network environment, wireless sensor nodes deployed in the same area might try to access a channel whenever an event occurs. The sink node sends the collected data to the users via a gateway, often using the internet or any other communication channel. Research has shown that this coexistence in the ISM band can degrade the performance of the WSNs. The wide deployments, large transmit power, and large coverage range of IEEE 802.11 devices and other proprietary devices can degrade the performance of WSNs significantly when operating in overlapping frequency bands. The coexistence of wireless personal area networks (WPAN) with other wireless devices operating in an unlicensed frequency band is addressed in reference [1]. A range of logical techniques have been employed to achieve the required network performance, such as power aware MAC, cross-layer design technique, efficient sensing technique, and significant enhancement in hardware design, etc., but these techniques have their own limitations

Adopting Cognitive Method in WSN
New Paradigm of WSN with CR
Advantages of Using CR in WSNs
Efficient Spectrum Utilization and Spaces for New Technologies
Multiple Channels Utilization
Energy Efficiency
Global Operability
Application Specific Spectrum Band Utilization
Financial Advantages to the Incumbents by Renting or Leasing
Avoiding Attacks
Potential Application Areas of CR-WSNs
Military and Public Security Applications
Health Care
Home Appliances and Indoor Applications
Bandwidth-Intensive Applications
Real-Time Surveillance Applications
Transportation and Vehicular Networks
Diverse Purpose Sensing
Challenges
Hardware
Topology Changes
Fault Tolerance
Manufacturing Costs
Clustering
Channel Selection
Scalability
Power Consumption
3.11. Security
3.11.1. Physical Layer Attack
3.11.2. MAC Layer Attack
3.11.3. Routing Layer Attack
3.12. Sensing Techniques
3.12.2. Cooperative Sensing
Literature Review
Sensing Techniques
Signal Processing Technique
Cooperative Sensing
Energy Efficiency in Sensing
Clustering for Energy Efficiency
Energy Efficient Modulation Technique
Energy Efficient Packet Size Optimization
Energy Harvesting
Channel Access
Common Control Channel in CR-WSNs
Routing in CR-WSNs
Security and Trust Issues
Research Trends and Open Research Issues
Findings
Conclusions
Full Text
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