Abstract

A wide growth of wireless communication and it's associated technologies innovates many innovative and robust systems. These kinds of innovations over wireless technologies highly depend on energy efficiency and power saving procedures over communication scenarios. These wirless technologies update its nature day-by-day based on the user needs, so a dynamic wireless communication medium is essential to tolerate and resolve this kind of robust needs. Cognitive Radio Networks, an intelligent dynamic programming scheme as well as which has powerful network configurations to choose the efficient wireless network channel for proceeding the communications without any interruptions. This kind of dynamicity and robustness requires more energy to manipulate the sensor node and routing details as well as their presence in every time to check the node availability for further communications. In this paper, we concentrate more on energy harvesting issues and power optimization procedures occurred over Cognitive Radio Networks. In this proposed system, the energy efficiency is preserved and power optimization over CR Networks is handled by means of three intelligent factors/strategies such as: (i) Efficient Route Reporter (ERR), (ii) Dynamic Channel Optimizer (DCO) and (iii) Power Efficiency Handler (PEH). These three strategies are collectively called as Dynamic Optimization Law over CR Networks (DOL-CRNs). By using these DOL-CRNs, we can easily manipulate the issues and provide best resolution to optimize the CR Networks to enhance the network lifetime, throughput, reduce the delay over CR Networks communication and maximize the frame success ratio. For all the proposed DOL-CRNs assures the efficiency of Cognitive Radio Networks as well as its communication robustness with the help of three associated strategies.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.