In Wireless Sensor Networks (WSNs), Context Awareness is typically realized through Context Aware Systems (CASs). Although\nalmost each CAS follows sense-decide-adapt cycle, the notion of context is hardwired into the applications; that is, when an event\nis triggered, the sense-decide-actuate cycle runs and performs required actuation. In situations, for instance, whenever the same\nevent is triggered, the cycle produces the same actuation throughmechanical use of the same resources, posing the same processing\nand time. In this paper, we propose CRAM, a context added system in which actuations once performed by the system help it to\ninternally evolve by serving as new contexts. As the system is exposed to more situations overtime, its context repository is enriched\nthrough such retrospective contexts, gradually letting it perform internal actuation through improved introspective contexts. This\ninternal actuation leads the system towards the evolution of intelligent processing by reducing the independent function of decision\nin sense-decide-actuate cycle and merging it with new context. Finally, the system reaches a juncture where recurrence of each event\nproves to be a stimulus for the system to respond impulsively, through priming memory of introspective contexts, to achieve an\nimitation of learned reflex action resulting into reduced time and energy expenditure.
Loading....