A preference-based application framework for resource-bounded context-aware agents

Uddin, Ijaz; Rakib, Abdur

Abstract

Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. One of the main challenges of context-aware distributed mobile computing is the dynamic adaptation to changes in the resource-bounded operating environment with user preferences. For example, a depersonalized context-aware application may exhibit behavior that is not anticipated by its user in a given situation. In this paper, we present a personalized preference model for resource-bounded context-aware applications, which provides support for the development and execution of context-aware applications using a declarative language. We implement a simple example system that demonstrates the effectiveness of the approach in a real-world scenario.

Citation

Uddin, I., & Rakib, A. (2017). A preference-based application framework for resource-bounded context-aware agents. In K. J. Kim, & N. Joukov (Eds.), Mobile and Wireless Technologies 2017 (187-196). Springer

• Conference Name: Mobile and Wireless Technologies 2017
• Conference Location: Kuala Lumpur, Malaysia
• Start Date: Jun 1, 2017
• End Date: Jun 1, 2017
• Acceptance Date: Mar 28, 2017
• Online Publication Date: Jun 17, 2017
• Publication Date: Jun 26, 2017
• Deposit Date: Jun 20, 2017
• Publicly Available Date: Jun 17, 2018
• Journal: Lecture Notes in Electrical Engineering
• Print ISSN: 1876-1100
• Peer Reviewed: Peer Reviewed
• Volume: 425
• Pages: 187-196
• Series Title: Lecture Notes in Electrical Engineering
• Book Title: Mobile and Wireless Technologies 2017
• ISBN: 9789811052804
• Keywords: context-aware agents, rule-based reasoning, Android SDK, smart phone, user preference
• Public URL: https://uwe-repository.worktribe.com/output/885603
• Publisher URL: https://doi.org/10.1007/978-981-10-5281-1_20
• Related Public URLs: http://www.springer.com/us/book/9789811052804