Energy And Delay Optimized Protocol For Cognitive Network
Shobhit Verma1, Vikas Raina2

1Mr. Shobhit Verma, ECE, Mody university, Laxmangarh, Rajasthan, India.
2Dr. Vikas Raina, CSE, Mody university, Laxmangarh, Rajasthan, India.

Manuscript received on 23 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 2024-2028 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21890981119/2019©BEIESP | DOI: 10.35940/ijitee.K2189.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cognitive network is the solution for today’s spectrum scarcity problem. The cognitive network allows secondary users to use free licensed bands on temporary basis to access network resources. The energy consumption for battery operated devices is most essential parameter to be considered to keep devices active for longer time span. This triggers the requirement of energy efficiency in cognitive radio network. The energy consumption due to sensing mechanism and energy consumption during communication sessions for leased time span are two aspects of consideration in cognitive network. This paper contributes for modification in protocol for energy efficiency in communication sessions to enhance the lifetime of devices. At the same time delay optimization for congestion control along with maximum resource access facility is considered while modifying the protocol. A multilayer strategy designed, is responsible for optimized energy, optimized delay and congestion avoidance as an additional outcome. The performance evaluation shows that proposed protocol mechanism is responsible for enhancing energy efficiency with controlled delays in communication sessions.
Keywords: Modified AODV, energy efficiency, delay optimization, Clustering, cognitive network.
Scope of the Article: