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In the participatory sensing model, humans may serve as opportunistic sensors and flexible actuators while also consuming sensing services. Integrating humans into sensing systems has the potential to increase scale and reduce costs. However, contemporary participatory sensing software provides poor consideration of user dynamism, which includes: mobility across networks, mobility across devices and...
In recent years there have been two major but independent trends: the popularity of social networking applications and the adoption of smart phones. As a result, a new trend of networks labeled Mobile Social Networks (MSN) has emerged and attracted considerable attention from the academic and industrial communities. Middleware for MSN facilitates the design and development of new applications on top...
Today's consumer electronics feature marvelous capabilities. From smartphones to in-car navigators to media players, all benefit from advances in underlying components such as RAM, GPS chips, and fast communications networks. Buddy-mapping applications, now possible and deployed on smartphones and personal navigation systems, are a meld of communications, instant messaging, location-aware service,...
Mobile devices carried by people are dynamically networked. Understanding the social structures within the human mobility traces captured from the mobile devices help us design efficient message dissemination schemes. Furthermore, community is an important attribute of future human contact-based networks. People who are in multiple communities are good message carriers. Thus, a distributed community...
Nowadays social network services play an important role in users' everyday lives. This is especially emphasized in lives of users that belong to Generation Y. Young people often communicate and share various personal information with their family, friends or colleagues through virtual communities that are based on social relations. By introducing social networking concept into the mobile network domain,...
We propose a middleware called BuddyShare to automatically form an overlay group of nearby friends' mobile phones to collaboratively download data by sharing mobile internet. This system is hypothetical in nature and only work on certain assumptions such as: 1) frequent availability of friends' phone nearby, 2) Sufficient social trust among physically close users to share internet and 3) sufficient...
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