Advanced Energy Sensing Techniques Implemented Through Source Number Detection for Spectrum Sensing in Cognitive Radio

Back Ground/ Aims:: Now-a-days in the Wireless Communications some of the spectrum bands are underutilized or unutilized; the spectrum can be utilized properly by using the Cognitive Radio Techniques using the Spectrum Sensing mechanisms. Objectives:: The prime objective of the research work carried out is to achieve the energy efficiency and to use the spectrum effectively by using the spectrum management concept and achieve better throughput, end to end delay etc., Methods:: The detection of the spectrum hole plays a vital role in the routing of Cognitive Radio Networks (CRNs). While detecting the spectrum holes and the routing, sensing is impacted by the hidden node issues and exposed node issues. The impact of sensing is improved by incorporating the Cooperative Spectrum Sensing (CSS) techniques. Along with these issues the spectrum resources changes time to time in the routing. Results:: All the issues are addressed with An Energy Efficient Spectrum aware Routing (EESR) protocol which improves the timeslot and the routing schemes. The overall network life time is improved with the aid of residual energy concepts and the overall network performance is improved. Conclusion:: The proposed protocol (EESR) is an integrated system with spectrum management and the routing is successfully established to communication in the network and further traffic load is observed to be balanced in the protocol based on the residual energy in a node and further it improves the Network Lifetime of the Overall Network and the Individual CR user, along with this the performance of the proposed protocol outperforms the conventional state of art routing protocols.

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Analysis of Spectrum Sensing Error and Spectrum Handoff for Non-Uniform Unlicensed Users in Cognitive Radio Network

Recent Patents on Computer Science ◽

10.2174/2213275911666180817121739 ◽

2018 ◽

Vol 11 (2) ◽

pp. 143-154

Author(s):

Kandasamy Subramanian Preetha ◽

Shanmugam Kalaivani ◽

Thangappa Velmurugan

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Cognitive Radio Network ◽

Radio Network ◽

Spectrum Handoff

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Distributed consensus-based cooperative spectrum sensing in cognitive radio ad hoc networks

10.22215/etd/2010-08688 ◽

2010 ◽

Author(s):

Zhiqiang Li

Keyword(s):

Cognitive Radio ◽

Ad Hoc Networks ◽

Spectrum Sensing ◽

Ad Hoc ◽

Cooperative Spectrum Sensing ◽

Distributed Consensus ◽

Hoc Networks

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An SETM Algorithm for Combating SSDF Attack in Cognitive Radio Networks

Wireless Communications and Mobile Computing ◽

10.1155/2020/9047809 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

S. Tephillah ◽

J. Martin Leo Manickam

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Trust Management ◽

Cooperative Spectrum Sensing ◽

Radio Networks ◽

Second Phase ◽

Common Channel ◽

Secondary Users ◽

Management Algorithm ◽

Different Types

Security is a pending challenge in cooperative spectrum sensing (CSS) as it employs a common channel and a controller. Spectrum sensing data falsification (SSDF) attacks are challenging as different types of attackers use them. To address this issue, the sifting and evaluation trust management algorithm (SETM) is proposed. The necessity of computing the trust for all the secondary users (SUs) is eliminated based on the use of the first phase of the algorithm. The second phase is executed to differentiate the random attacker and the genuine SUs. This reduces the computation and overhead costs. Simulations and complexity analyses have been performed to prove the efficiency and appropriateness of the proposed algorithm for combating SSDF attacks.

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