A Framework for Pervasive Context-Aware Ethiopian Agricultural Marketing Information Service
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Date
2014-02
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Addis Ababa University
Abstract
A lot of work has been done on the development of context-aware applications that focus on enabling pervasive computing using mobile devices. Most of these systems are context-aware mobile systems which aim at delivering information and services tailored to the current user’s context. Furthermore, several intelligent mobile marketing frameworks have been proposed and prototypes have been developed. Context aware services have the ability to utilize information about the user’s context to adapt services to the user’s current situation and needs. In this work, we propose a framework for pervasive context- aware agricultural marketing information service that targets in providing agricultural market information to the end users based on the user’s interest, preference, and current location and time. The framework is designed in client-server architecture that has two types of clients and a server. In this framework the local agricultural market data are collected using smart phone (with built in GPS receiver) from the local marketplaces, and stored in the context repository for reference. The agricultural market information is delivered to the end user in two modes pull and push. In pull mode, the system provides a list of possible preferences and request for the user to explicitly pass his/her preferences and interests to the server, and the server analyzing the user request (interest and preference) and performs reasoning and decisions based on context data store in the context repository backend databases. Then, it delivers the relevant information to the user that matches to his/her interest and preference. On the other hand, in push mode, analyzing the user’s interest and preference from the user profile history or during special event trigger, the system pushes notification message to the user. Besides this, in this work the user’s location is determined (identified) by using cell-Id and RSSI measured value of the currently servicing and neighboring BSs that are fetched from the user’s mobile phone (without built in GPS receiver). To demonstrate the validity of the proposed framework, we developed a prototype that implements the core components of the proposed framework.
Keywords: Pervasive Computing, Context-awareness, AMIS, MS, RSSI, Cell-ID
PCAAMIS Framework. PULL-MODE, PUSH-MODE:
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Keywords
Pervasive Computing, Context-Awareness, AMIS, MS, RSSI, Cell-ID PCAAMIS Framework, PULL-MODE, PUSH-MODE