The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System

Abstract

The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The presence and knowledge of the context enables users to be conscious of physical conditions or circumstances surrounding mobile device users, and this enables network networks to react proactively and intelligently on the basis of that knowledge. As smartphones advance, tech engineers are encouraged to build context-conscious apps to understand human-centered or community-based creative social and cognitive behaviours in any circumstance and from wherever. This leads to an ambitious vision of developing an “Internet of Things” society that enables apps that enable consumers that gather, evaluate and exchange local sensory information for large-scale group usage through building a smart network capable of making autonomous rational decisions to function on environmental objects. More significantly, it is believed that the incorporation of information and situational knowledge into the mechanism of identification of human-centered case dynamics may offer a deeper interpretation of human activity and may also provide an incentive for constructive assistance to individuals with a view to enhancing the quality of life. Mobile technologies enabling emerging computationally ubiquitous systems would constrain. However, the medium ware services offered on mobile devices have restricted capacity in terms of strength, memory and bandwidth relative to the capacities of PCs and servers. Power problems are, above all, significant constraints on the deployment of context-aware software. Unfortunately, these specifications minimize the battery life of the system due to the heavy energy usage incurred by both sensor and processor activity. Specifically, constantly recording the user background by sensors puts intense workloads on hardware and computing and, as a result, easily drains the battery capacity. Smart computer batteries, then, do not last a long period when the sensor (s) are working continuously