Cloud Computing Based Cognitive Radio Networking

Cloud Computing Based Cognitive Radio Networking

Author: 
Rawat, Danda B.
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2013
Responsibility: 
Shetty, Sachin, jt. author
Editor: 
Meghanathan, Natarajan
Journal Title: 
Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks
Source: 
Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks
Abstract: 

This chapter describes state-of-the art techniques to improve performance of spectrum sensing and spectrum management in Cognitive Radio Networks (CRN) by leveraging services available in cloud computing platforms. CRNs are capable of adaptive learning and reconfiguration to provide consistent communications in dynamic environments. However, ensuring adaptation and learning in CRN will require availability of large volume of data and fast processing. However, the performance and security of CRN is considerably constrained by its limited power, memory and computational capacity, it may not be able to achieve its full capability. Fortunately, the advent of cloud computing has the potential to mitigate these constraints due its vast storage and computational capacity.

Series: 
Advances in Wireless Technologies and Telecommunication

CITATION: Rawat, Danda B.. Cloud Computing Based Cognitive Radio Networking edited by Meghanathan, Natarajan . Hershey, PA : IGI Global , 2013. Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks - Available at: https://library.au.int/cloud-computing-based-cognitive-radio-networking