Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

Abstract

Developing software environments for Sensor-Actor Networks (Sanets) is a promising research concern in systems engineering. Current concepts in software would adopt Sanets in a singular communications methodology, but the solution in this work is to take biological inspiration for the systems solution, thus the design of the system achieves a biomimetic construct as a result. Sanets are congurable for a variety of network structures and topologies, with the research aim in designing a network that is interactive and anticipatory to external and internal adaptations. Meanwhile, the eventbased changes are composed of scenarios, and the interactivity between external and internal actors. From the requirements of the end-user, the system must be responsive and interactive from the user perspective in real-time, while in addition oering the contextual data to make useful interpretation of systemic conditions from an anticipative view [2].