Abstract: A pervasive computing describes that users can communicate anywhere with any system. In this environment, most people are invisible and networked systems are aware of the context as well as peers. In this context, people interact with the integrated computer. In the meantime, they can deliver services or efficiently utilize services from peers. Context awareness is an important terminology in computing that can sensitively adapt its physical environment. Topics include context accuracy, reliability, situation of conflict, unexpected adjustment, power management. Various techniques and solutions are recommended and considered to avoid these problems in this survey. In order to recognize not only the current context but also can predict the future context, context prediction is used. However, centralized architecture can be handled alone and still not implemented in the decentralized system. Policies for conflict resolution are used to deal with the conflict situation. This is helpful to improve context awareness performance. And middleware Internet of Things deals with scalability, incomplete data and conflict resolution. We need an efficient intelligence system in order to avoid all of this scalability, conflict and complexity problem. The energy problem arises in context because of large, complex data and long computing time. During the whole process, user position authentication and information should be kept. That's why we talked about security and privacy at last. The following work analyzes and offers solutions to the various problems and challenges.
Keywords: Context aware, Pervasive computing, Location, Power Management Context Recognition
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DOI:
10.17148/IJARCCE.2020.9215
