QoS-based Channel and Radio Assignment Algorithm for Mesh Cognitive Radio Networks intended for HealthCare

摘要

Smart homes monitoring for patient healthcare is an emerging research area. Monitoring smart homes locally at large scale requires a lot of infrastructure deployment which is not a cost effective solution. Thus the recent advancement in the cloud computing and introduction of cognitive radio's provides a new direction to the smart homes monitoring. Thus in future all the data monitoring and analysis at large scale will be on cloud using cognitive radios. Cognitive radios utilize radio spectrum opportunistically without purchasing their license. Therefore, efficient routing and quality of service based channel selection and radio assignment are most challenging issues in the deployment of this technology for remote smart homes monitoring. In this paper, we proposed a novel channel selection and radio assignment scheme for multi-radio multi-channel multi-hop mesh cognitive networks with the objectives of minimizing overall network interference and minimum interference with the primary users. Channel and radio assignment in such networks is a NP-hard problem. Therefore, integer linear programming model is presented and heuristic solution for susceptibility and capacity aware channel selection and radio assignment is proposed. Furthermore, collaborative channel utilization and local healing Scheme is also presented. Our proposed algorithms maintain highly quality of service based stable routes with the overall reduction of network interference.