Sensing Coverage and Connectivity in Cognitive Radio Sensor Networks

Sensing coverage of a field of interest and connectivity are two very important performance measures in Wireless Sensor Networks (WSNs). Existing design methodologies and protocols for enhanced field sensing coverage and connectivity in WSNs are not directly applicable to Cognitive Radio Sensor Networks (CRSNs) due to their cognitive nature. In this chapter, the authors first review sensing coverage and connectivity models for traditional WSNs. Then, they propose novel approaches for sensing coverage and connectivity establishment in CRSN, benefiting from useful existing models from WSN and Cognitive Radio Ad Hoc Networks (CRAHNs). Proposed approaches span a wide variety of CRSN requirements and also point out open research problems in the field to guarantee sufficient sensing coverage quality and connectivity in CRSN.

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Sensing Coverage and Connectivity in Cognitive Radio Sensor Networks

Mobile Computing and Wireless Networks ◽

10.4018/978-1-4666-8751-6.ch027 ◽

2016 ◽

pp. 608-633

Author(s):

Ecehan Berk Pehlivanoğlu ◽

Mustafa Özger ◽

Özgür Barış Akan

Keyword(s):

Cognitive Radio ◽

Sensor Networks ◽

Performance Measures ◽

Ad Hoc ◽

Sensing Coverage ◽

Cognitive Radio Sensor Networks ◽

Research Problems ◽

Coverage Quality ◽

Coverage And Connectivity ◽

Hoc Networks

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Cognitive Radio Sensor Networks

Advances in Wireless Technologies and Telecommunication - Cognitive Radio Sensor Networks ◽

10.4018/978-1-4666-6212-4.ch007 ◽

2014 ◽

pp. 160-195 ◽

Cited By ~ 2

Author(s):

Ejaz Ahmed ◽

Salman Ali ◽

Adnan Akhunzada ◽

Ibrar Yaqoob

Keyword(s):

Cognitive Radio ◽

Sensor Networks ◽

Sensor Network ◽

Ad Hoc ◽

Network Communication ◽

Ad Hoc Routing ◽

Medium Access ◽

Cognitive Radio Sensor Networks ◽

Cognitive Radio Sensor Network ◽

Network Operation

This chapter provides a review of design practices in network communication for Cognitive Radio Sensor Networks. The basics of networking and Medium Access Control functionalities with focus on data routing and spectrum usage are discussed. Technical differences manifest in various network layouts, hence the role of various specialized nodes, such as relay, aggregator, or gateway in Cognitive Radio Sensor Networks need analysis. Optimal routing techniques suitable for different topologies are also summarized. Data delivery protocols are categorized under priority-based, energy-efficient, ad hoc routing-based, attribute-based, and location-aware routing. Broadcast, unicast, and detection of silence periods are discussed for network operation with slotted or unslotted time. Efficient spectrum usage finds the most important application here involving use of dynamic, opportunistic, and fixed spectrum usage. Finally, a thorough discussion on the open issues and challenges for Cognitive Radio Sensor Network communication and internetworking in Cognitive Radio Sensor Network-based deployments and methods to address them are provided.

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A Consensus-Based Protocol for Spectrum Sharing Fairness in Cognitive Radio Ad Hoc and Sensor Networks

International Journal of Distributed Sensor Networks ◽

10.1155/2012/370251 ◽

2012 ◽

Vol 8 (10) ◽

pp. 370251 ◽

Cited By ~ 6

Author(s):

Peng Hu ◽

Mohamed Ibnkahla

Keyword(s):

Cognitive Radio ◽

Sensor Networks ◽

Spectrum Sharing ◽

Ad Hoc ◽

Convergence Condition ◽

Efficient Solutions ◽

Theoretical Ground ◽

Related Information ◽

Local Observation ◽

Hoc Networks

Spectrum sharing fairness is an important topic in cognitive radio ad hoc networks (CRAHNs) and cognitive radio sensor networks (CRSNs). Consensus-based protocols can provide light-weight and efficient solutions for CRAHNs and CRSNs but the theoretical ground needs to be investigated for spectrum sharing fairness. In this paper, we investigate the convergence condition when applying a consensus-based protocol to spectrum sharing while ensuring spectrum sharing fairness. Based on the local observation and local control scheme using spectrum-related information, an individual cognitive node can effectively perform the spectrum sharing. Then we propose a consensus-based protocol for spectrum sharing. Supported with computer simulation results, we show the effectiveness of using the proposed consensus-based protocol to solve the spectrum sharing problems in CRAHNs and CRSNs.

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