Title
Optimal Entropy-Based Cooperative Spectrum Sensing for Maritime Cognitive Radio Networks.
Abstract
Maritime cognitive radio networks (MCRNs) have recently been proposed for opportunistic utilization of the licensed band. Spectrum sensing is one of the key issues for the successful deployment of the MCRNs. The maritime environment is unique in terms of radio wave propagation over water, surface reflection and wave occlusions. In order to deal with the challenging maritime environment, we proposed an optimal entropy-based cooperative spectrum sensing. As the results of spectrum sensing are sensitive to the number of samples in an entropy-based local detection scheme, we first calculated the optimal number of samples. Next, a cooperative spectrum sensing scheme considering the conditions of the sea environment is proposed. Finally, the throughput optimization of the m-out-of-n rule is considered. Results revealed that although the existing schemes work well for the lower sea states, they fail to perform at higher sea states. Moreover, simulation results also indicated the robustness of the entropy-based scheme and the proposed cooperative spectrum sensing scheme at higher sea states in comparison with the traditional energy detector.
Year
DOI
Venue
2013
10.3390/e15114993
ENTROPY
Keywords
Field
DocType
cognitive radio network,maritime communication,spectrum sensing,cooperative detection
Mathematical optimization,Software deployment,Surface reflection,Simulation,Electronic engineering,Robustness (computer science),Throughput,Detector,Radio propagation,Mathematics,Cognitive radio
Journal
Volume
Issue
Citations 
15
11
4
PageRank 
References 
Authors
0.40
17
4
Name
Order
Citations
PageRank
Waleed Ejaz127834.18
Ghalib A. Shah229120.85
Najam Ul Hasan313212.86
Hyung Seok Kim454456.03