Mircom Technologies (Canada)

We present an optimization methodology for a pseudo-adaptive algorithm that assigns IOT devices to a set of networks. The age of The Industrial Internet of Things (IIOT) provides a fantastic opportunity to rethink traditional methods of device assignment amongst heterogeneous network options within an environment. To date, the only way to guarantee performance of a life-safety critical network was to invest in costly fixed and dedicated infrastructure that could not be a shared with non-critical building systems equipment. This paper describes a methodology to tune shared infrastructure communication pathways for reliability approaching fixed infrastructure solutions. The genetic algorithm (GA) developed maximizes devices' and networks' performance while minimizing infrastructure costs. We assume an assessment of each network available to each device in terms of QoS, and our GA running on a central controller at a remote server.