Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
MAC Protocol for Opportunistic Cognitive Radio Networks with Soft Guarantees
IEEE Transactions on Mobile Computing
Channel access protocols for multihop opportunistic networks: challenges and recent developments
IEEE Network: The Magazine of Global Internetworking - Special issue title on networking over multi-hop cognitive networks
Emerging cognitive radio technology: Principles, challenges and opportunities
Computers and Electrical Engineering
Spectrum sensing algorithms for primary detection based on reliability in cognitive radio systems
Computers and Electrical Engineering
Routing and QoS provisioning in cognitive radio networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative adaptive spectrum sharing in cognitive radio networks
IEEE/ACM Transactions on Networking (TON)
Jamming aware routing for MHWN with dynamic measurement
Computers and Electrical Engineering
Spectral efficiency of cognitive radio networks under interference constraint and QoS guarantees
Computers and Electrical Engineering
HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
In this paper, we introduce a probabilistic routing metric that considers the peculiar characteristics of the operating environment of cognitive radio networks (CRNs). This metric captures the dynamic changes in channel availabilities due to the randomness of primary user's activity and the rich channel diversity due to the fact that a CRN is expected to operate over highly separated frequency channels with different propagation characteristics. Our metric, Probability of Success (PoS), statistically quantifies the chances of a successful cognitive radio (CR) packet transmission over a given channel. Based on the PoS metric, we propose a joint probabilistic routing and channel assignment protocol for multi-hop CRNs that attempts at selecting the path with the maximum probability of success among all possible paths for a given CR source-destination pair. Selecting such a path results in minimizing the number of disruptions to CR packet transmissions, which consequently improves network throughput. Simulation results verify the significant throughput improvement achieved by our protocol compared to reference CRN routing protocols.