A novel hybrid heuristic-based network parameter optimization for spectral and energy efficiency in dynamic spectrum access on wireless mesh network system

Abstract

The ‘Wireless Mesh Networks (WMNs)' is utilized to enhance the networking services and internet access in metropolitan regions, campuses, local and personal. The ‘Mesh Routers (MR)' creates the connectivity backbone while performing multiple packet transmission tasks along with providing network ingress to the mesh users. This issue can be minimized by incorporating cognitive radio that focuses on inventing the spectrum management and sensing mechanisms. Hence, there is a demand to implement a framework for the ‘optimal Dynamic Spectrum Access' (DSA) in WMN beside with cognitive thoughts. In this paper, the optimization techniques are utilized to exploit the spectral and energy effectiveness of DSA in WMN. So, a novel hybrid approach, called the Iteration-based Position of Fire Hawk and Coyote Optimization (IPFHCO) is developed in this work. The developed hybrid model, IPFHCO can effectively maximize the energy and spectral efficacy in the WMN system than the other conventional approaches while performing several analyses. The simulation outcomes shows that the spectral efficiency of the offered DSA system in WMN is enhanced by 37.5% than the DHOA, 62.5% than the Jaya, 16.66% than the FHO, and 45.83% than the COA, while taking the transmission power value as 25 bps\\Hz.