IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Network Layer for Cognitive Radio Sensor Networks

Network Layer for Cognitive Radio Sensor Networks
View Sample PDF
Author(s): Suleiman Zubair (University of Technology, Malaysia), Norsheila Fisal (University of Technology, Malaysia), Mohammed B. Abazeed (University of Technology, Malaysia), Zubair Khalid (University of Technology, Malaysia), Yahya O. Salihu (Kaduna Polytechnic, Nigeria), Bala A. Salihu (Federal University of Technology Minna, Nigeria), Hassan T. AbdulAzeez (Federal University of Technology Minna, Nigeria)and Ahmad Suleiman (Federal University of Technology Minna, Nigeria)
Copyright: 2016
Pages: 33
Source title: Mobile Computing and Wireless Networks: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8751-6.ch041

Purchase

View Network Layer for Cognitive Radio Sensor Networks on the publisher's website for pricing and purchasing information.

Abstract

Based on recent trends, Cognitive Radio paradigm has become an integral part of future communication networks of which Wireless Sensor Network is an integral part. However, Cognitive Radio (CR) introduces critical issues that have to be addressed for communication in networks to be achieved. Routing, being the core of communication, has to be critically examined within the context of Cognitive Radio Sensor Networks. In this chapter, the authors discuss relevant issues on the topic of routing in Cognitive Radio Sensor Networks (CRSN). As a basis, a general overview of routing in the Wireless Sensor Network (WSN) is made. The applicability of these protocols in CRSN is discussed and the need for integrating Opportunistic Spectrum Access components into existing Wireless Sensor Network protocols is exposed. Factors affecting routing in CRSN are outlined with an emphasis on a cross layering design approach based on a generalized framework. Recent works in this respect are categorized, and finally, open issues in need for research attention are pinpointed.

Related Content

Mostafa Hefnawi, Jamal Zbitou. © 2023. 28 pages.
Jayant Gajanan Joshi, Shyam S. Pattnaik. © 2023. 19 pages.
Mohamed Bayjja, Jamal Zbitou, Ahmed El Oualkadi. © 2023. 31 pages.
Mohamed Hayouni, Fethi Choubani. © 2023. 18 pages.
Emna Jebabli, Mohamed Hayouni, Fethi Choubani. © 2023. 22 pages.
Kok Yeow You, Man Seng Sim, Fandi Hamid. © 2023. 47 pages.
Souad Berhab, Abderrahim Annou, Fouad Chebbara. © 2023. 35 pages.
Body Bottom