Modeling and performance evaluation for electromagnetic micro/nano-gateway

The Internet of nano-things communication has increased attention in recent years, serving different applications in many fields. Such applications need uplink and downlink communication between the nano-network and the macro-domain world through macro/nano-interfaces, where nano-sensors/actuators communicate with smart hybrid devices called micro/nano-gateways. The analytical evaluation of such gateways is mandatory, as it requires a precise study of their performance in handling traffic in the upstream/downstream directions. In this paper, an analytical evaluation of the micro/nano-gateway performance is studied using queueing theory to describe the behavior of the gateway handling the nano-network upstream traffic. The analytical investigation illustrates how different classes of upstream traffic will be processed by the gateway and distributed over three different queues according to traffic characteristics. The study shows the effect of the number of running servers inside each queue and the buffer size on the overall performance of the micro/nano-gateway.