This paper is published in Volume-3, Issue-2, 2017
Area
Computer Science and Engineering
Author
Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad
Org/Univ
MSS College of Engineering and Technology, Jalna, Maharashtra, India
Pub. Date
25 March, 2017
Paper ID
V3I2-1246
Publisher
Keywords
Wireless Networks, Routing Algorithm, Load Balancing, Congestion Control, Energy Efficiency.

Citationsacebook

IEEE
Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad. A Review on Improve Energy Efficiency in Cognitive Radio Ad Hoc Networks by Selecting Secondary User, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad (2017). A Review on Improve Energy Efficiency in Cognitive Radio Ad Hoc Networks by Selecting Secondary User. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad. "A Review on Improve Energy Efficiency in Cognitive Radio Ad Hoc Networks by Selecting Secondary User." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

Wireless networks combining the advantages of both mobile ad-hoc networks and infrastructure wireless networks have been receiving increased attention due to their ultra-high performance. Users have the capability to sense available spectrum in Cognitive Radio Networks (CRNs).Users can opportunistically access to the spectrum. Paper proposed for energy consumption for CRNs, Which is higher in traditional Cognitive Radio Ad Hoc Network (CRAHNs). Users mainly depend on spectrum access so the requirement of network architecture is user spectral. In the proposed network architecture, only parts of user’s are equipped with Cognitive Radio (CR) module. Additionally, user management done, a minimum number of users are selected to sense available spectrum, which aims at reducing the energy consumption further. The minimum number of users selection problem is formulated as an optimal routing algorithm problem under the constraints of energy efficiency and the real-time available spectrum information. Hence, a distributed optimal routing algorithm is proposed to calculate the optimal solution. The optimal routing algorithm in the proposed network architecture outperforms and traditional Cognitive Radio Ad Hoc Networks in energy efficiency.
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