Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 1 — Issue 2 — December 2019

MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR POWER MANAGEMENT IN COGNITIVE RADIO NETWORKS

https://doi.org/10.36548/jucct.2019.2.004
Wang Haoxiang
Director and lead executive faculty member, GoPerception Laboratory, NY
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How to Cite

Haoxiang, Wang. 2019. “MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR POWER MANAGEMENT IN COGNITIVE RADIO NETWORKS”. Journal of Ubiquitous Computing and Communication Technologies 1 (2): 97-109. https://doi.org/10.36548/jucct.2019.2.004.
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Keywords

— Cognitive Radio Networks
— Multi Objective Optimization
— Power Management
— Evolutionary Algorithm
— Minimized Delay
— and Error Rates in the Packet
Published: 31-12-2019

Abstract

The cognitive radio networks is an adaptive and intelligent radio network that is capable of automatically identifying the available channels in the spectrum that is wireless. Cognitive radios modify the parameters supporting the conveyance according to the needs of communication to enhance the operating radio behavior and avail a concurrent communication within the allotted spectrum band at one location. To improvise the parameter configuration the intelligent optimization techniques are been followed nowadays. The paper puts forth a multi-objective optimization algorithm (MO-OPA) for the power management in the cognitive radio networks. The proposed method utilizes the hybridized evolutionary algorithm to reduce the power consumption by minimizing the delay in the communication, intervention and the error rate of the packets. The validation of the proposed method is done to using the network simulator-2 to evince the capabilities of the proposed MO-OPA.

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