A context-aware dispatcher for the Internet of Things: The case of electric power distribution systems. (May 2016)

• Record Type: Journal Article
• Authors: Amin, Shaimaa A.A.; Ali-Eldin, Amr; Ali, Hesham Arafat
• Is Part Of: Computers & electrical engineering. Volume 52(2016)
• Page Start: 183
• Page End: 198
• Publication Date: 2016-05
• Subjects: Context-awareness -- Internet of Things -- Electricity distribution systems -- Dispatcher framework; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.05.012
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract : Graphical abstract: Highlights: Detailed explanation of an automatic dispatcher, its components and functions. Framework structure is based on context-awareness integration. with IOT middleware Framework tested in electrical distribution systems as a case study. High progress in the system performance in terms of cost, time and effort. Acceleration in faults repairing and increased user satisfaction. Abstract: Automating actions based on collected context from Internet of Things (IOT)-controlled systems is one of the most important requirements of IOT systems; this paper seeks to satisfy this requirement by offering a context-aware service framework on top of IOT controlled systems. The fault management process in electric power distribution networks is taken here as a case study and used for implementing our proposed framework. We discuss the different aspects that need to be covered in such a framework and its components. The obtained results from simulating and testing the framework show a significant improvement in the task management process compared to the traditional approach.