Multimedia Communication in Cognitive Radio Ad Hoc and Sensor Networks

2015 ◽  
pp. 53-94
Author(s):  
Mustafa Ozger ◽  
Ecehan Pehlivanoglu ◽  
Ozgur Akan
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Ad Hoc ◽  
Multimedia Communication

Cognitive Radio Sensor Networks

2014 ◽  
pp. 160-195 ◽  
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.

Sensing Coverage and Connectivity in Cognitive Radio Sensor Networks

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

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.

scholarly journals Fuzzy-Based Sensor Fusion for Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Mohammad Jalil Piran ◽  
Amjad Ali ◽  
Doug Young Suh
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Sensor Fusion ◽  
Ad Hoc ◽  
Fuzzy Theory ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Level Information ◽  
Single Sensor ◽  
High Level

In wireless sensor networks, sensor fusion is employed to integrate the acquired data from diverse sensors to provide a unified interpretation. The best and most salient advantage of sensor fusion is to obtain high-level information in both statistical and definitive aspects, which cannot be attained by a single sensor. In this paper, we propose a novel sensor fusion technique based on fuzzy theory for our earlier proposed Cognitive Radio-based Vehicular Ad Hoc and Sensor Networks (CR-VASNET). In the proposed technique, we considered four input sensor readings (antecedents) and one output (consequent). The employed mobile nodes in CR-VASNET are supposed to be equipped with diverse sensors, which cater to our antecedent variables, for example, The Jerk, Collision Intensity, and Temperature and Inclination Degree. Crash_Severity is considered as the consequent variable. The processing and fusion of the diverse sensory signals are carried out by fuzzy logic scenario. Accuracy and reliability of the proposed protocol, demonstrated by the simulation results, introduce it as an applicable system to be employed to reduce the causalities rate of the vehicles’ crashes.

Sensing Coverage and Connectivity in Cognitive Radio Sensor Networks

2014 ◽  
pp. 1-26
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

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.

scholarly journals Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

2014 ◽  
Vol 10 (8) ◽  
pp. 154193 ◽  
Author(s):  
Mohammad Jalil Piran ◽  
Yongwoo Cho ◽  
Jihyeok Yun ◽  
Amjad Ali ◽  
Doug Young Suh
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Ad Hoc

scholarly journals Opportunistic Hybrid Transport Protocol (OHTP) for Cognitive Radio Ad Hoc Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (12) ◽  
pp. 31672-31686 ◽  
Author(s):  
Yousaf Zikria ◽  
Summera Nosheen ◽  
Farruh Ishmanov ◽  
Sung Kim
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Ad Hoc ◽  
Transport Protocol ◽  
Ad Hoc Sensor Networks

scholarly journals Clustering in Multi-Channel Cognitive Radio Ad Hoc and Sensor Networks

2018 ◽  
Vol 56 (4) ◽  
pp. 156-162 ◽  
Author(s):  
Mustafa Ozger ◽  
Fatih Alagoz ◽  
Ozgur B. Akan
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Ad Hoc
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