An Analytical Model for WSN-MCN Convergence Network Based on Processor Sharing Scheduling

Abstract

Advancement in ubiquitous techniques and the need of wide coverage network march towards convergence of networks. Mobile cellular network (MCN) is the largest network which can be the master network for this purpose and Wireless sensor network (WSN) can converge with MCN to form a single platform. As the world is moving towards machine to machine communication possibilities where WSN plays the major role. Hence there is a need to study the performances of the MCN-WSN convergence network. In this paper we have proposed an analytical model to accept the request from both WSN and MCN part and acceptances rate use certain probability to enter into a process at mobile node using processing sharing (PS) scheduling. The service rate is reduced to half of it’s original rate to satisfy the processor sharing simultaneously for both WSN and MCN part. The performance factors like utilization, throughput is calculated and the analysis is done using graphs in numerical section.