A Fuzzy-Based Approach for Improving Team Collaboration in MobilePeerDroid Mobile System

Abstract

Mobile computing has many application domains. One important domain is that of mobile applications supporting collaborative work, such as, eLearning and eHealth. In this work we present a distributed event-based awareness approach for P2P groupware systems. Unlike centralized approaches, several issues arise and need to be addressed for awareness in P2P groupware systems, due to their large-scale, dynamic and heterogenous nature. In such applications, a team of people collaborate online using smartphones to accomplish a common goal, such as a project development in e-Business. Often, however, the members of the team has to take decision or solve conflicts in project development (such as delays, changes in project schedule, task assignment,, etc.) and therefore members have to vote. Voting can be done in many ways, and in most works in the literature consider majority voting, in which every member of the team accounts on for a vote. In this work, we consider a more realistic case where a vote does not account equal for every member, but accounts on according to member’s active involvement and reliability in the groupwork. We present a voting model, that we call qualified voting, in which every member has a voting score according to four parameters. Then, we use fuzzy based model to compute a voting score for the member. This model will be to implemented in MobilePeerDroid system to give more realistic view of the collaborative activity and better decisions for the groupwork, while encouraging peers to increase their reliability in order to increase their voting score.