Volume 15 | Issue 12

The IEEE Transactions on Mobile Computing (TMC) is a bimonthly journal for publishing archival research results related to mobility of users, systems, data, and computing as well as issues in information organization and access, services, management, and applications. It emphasizes various areas of nomadic computing, multimedia applications, mobile data and knowledge management, and mobile communication systems and networking.

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Marwan Krunz
Kenneth VonBehren Endowed Professor
Site Co-Director, NSF BWAC Center
Dept. of Electrical & Computer Engineering
The University of Arizona
Tucson, AZ 85721, USA


Optimal interface selection is a key mobility management issue in heterogeneous wireless networks. Measuring the physical or link level performance on a given wireless access networks does not provide a reliable indication of the IP connectivity, delay, and loss on the (bidirectional) paths from the Mobile Host to the node that is handling the mobility, over different heterogeneous networks. In... Read more on IEEE Xplore

Because of the smaller size of mobile devices, text entry with on-screen keyboards becomes inefficient. Therefore, we present CamK, a camera-based text-entry method, which can use a panel (e.g., a piece of paper) with a keyboard layout to input text into small devices. With the built-in camera of the mobile device, CamK captures images during the typing process and utilizes image processing... Read more on IEEE Xplore

Anticipatory networking is a recent branch of network optimization based on prediction of the system state. Our work specifically tackles prediction-driven resource allocation for mobile networks. While some anticipatory networking concepts have been proposed in the literature, understanding of the potential real world gains is so far very limited. Future mobile networks will likely integrate... Read more on IEEE Xplore

Understanding the temporal traffic load profile of cellular networks is extremely valuable to many network operation tasks in large mobile networks. Such knowledge is useful for network planning, improving network performance, designing better load balancing schemes, testing handoff algorithms, and proposing new charging mechanisms. This paper proposes a simple yet powerful method to model the... Read more on IEEE Xplore

Alcohol consumption is the number one risk factor for morbidity and mortality among young people. In late adolescence and early adulthood, excessive drinking and intoxication are more common than in any other life period, increasing the risk of adverse physical and psychological health consequences. In this paper, we examine the feasibility of using smartphone sensor data and machine learning to... Read more on IEEE Xplore