Architecture for Context Management and Context-Aware Service Delivery
| dc.contributor.advisor | Ejigu, Dejene (PhD) | |
| dc.contributor.author | Tadesse, Yonas | |
| dc.date.accessioned | 2018-06-26T12:44:20Z | |
| dc.date.accessioned | 2023-11-04T12:22:36Z | |
| dc.date.available | 2018-06-26T12:44:20Z | |
| dc.date.available | 2023-11-04T12:22:36Z | |
| dc.date.issued | 5/30/2014 | |
| dc.description.abstract | emergence of various technological resources in the computer industry has shown its advancement in recent years. It provides computers the advantage of high processing capability with reduced physical size options and small size wearable appliances along with wireless communication technologies have emerged. This, in turn, led to a new computing paradigm called pervasive or ubiquitous computing. Pervasive computing aims at embedding such resources into the environment to ease service delivery while reducing the amount of user effort and attention. It helps to minimize user distraction providing context aware services. Thus, it takes context information and context management at its forefront to achieve its goal, by analyzing and processing any relevant data about a given entity to arrive at a decision. In this study, generic context aware service management architecture is proposed to support and enhance the context management starting from context acquisition to its final delivery of services. A way of resource handling, context acquisition, context management, service delivery and security are provided in the architecture. The context management module processes the context reasoning and context decision considering rules and historical context information. A way of context representation and model using ontological modeling approach is provided to enrich context management. To evaluate usability, applicability, reusability and extensibility of the system, the study considered scenarios in a smart campus which require a one card identification system. With the proposed architecture at hand, a one card system in a university setting is modeled using the proposed context modeling approach to extend its functionality beyond its traditional counterpart. Unlike the traditional way, which uses a barcode reader to handle individual cards, it considers context information to perform identification. Functionalities of components in the proposed architecture are also evaluated using implementation of scenarios like notification services for service areas in the domain. Technologies like RFID and Bluetooth are exploited in the implementation to support context acquisition and resource management. The study enhances mechanisms for resource discovery, context management and pervasive service deliveries. It proves the use of the proposed architecture for application in university setting and other related domains while retaining necessary functionalities. Also, security using log management method is offered as a means of security in pervasive computing. Key words: Pervasive/Ubiquitous Computing, Context, Context awareness, Ontology, Smart Campus, RFID | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/3721 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Pervasive/Ubiquitous Computing | en_US |
| dc.subject | Context | en_US |
| dc.subject | Context Awareness | en_US |
| dc.subject | Ontology | en_US |
| dc.subject | Smart Campus | en_US |
| dc.subject | RFID | en_US |
| dc.title | Architecture for Context Management and Context-Aware Service Delivery | en_US |
| dc.type | Thesis | en_US |