Biomimetic design of middleware for interactive and anticipatory Sensor-Actor Networks
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NO FULL TEXT AVAILABLE. Access is restricted indefinitely. ----- The current approach to manage distributed Sensor-Actor Network (SANET) information is to realize the network from a singular dimension, perceiving the SANET from its physical network topology and structure. In order for biomimetic concepts to be amalgamated with a traditional engineering approach, the design concerns of SANET infrastructures are addressed from a multi-dimensional viewpoint. Therefore, the aim of the research investigation is to design a system that is interactive and anticipatory to both static and dynamic environmental changes. The rationale for configuring SANET networks is taking the abstract perspective, right through to the physical structure. When considering the system requirements for internal and external actors, there is a need to provide information that interprets contextual and situational scenarios, as well as anticipate future outcomes. The engineering research examines two middleware design scenarios for SANETS, which integrate multi-agents with middleware and representing actors in a multidimensional manner. Also, two action studies on a laparoscopic surgical simulator and land-yacht sailing navigator are discussed. Finally, the SANET experimental platform is designed and constructed, to determine soft real-time tracking of obstacles for sensory awareness. The research innovation involves the design of new computational models that take the multidimensional perspective for SANET middleware services, particularly in vulnerable, space-constrained domains and defined by the criticality of the actions and decisions. Furthermore, multi-dimensional sensory awareness captures and exposes non-physical phenomena, by incorporating active heuristic functions into the SANET platform that emulates the behavior of living systems.
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