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


The increasing use of relays in underwater acoustic (UWA) communications is a driving force to explore efficient techniques that can significantly improve the system performance. To fully exploit the benefits of cooperative systems, efficient management of resources including relays and power is required. In this paper, both optimal relay selection and power loading issues are investigated for an... Read more on IEEE Xplore

Mobile crowdsensing is a new paradigm in which a group of mobile users exploit their smart devices to cooperatively perform a large-scale sensing job. One of the users’ main concerns is the cost of data uploading, which affects their willingness to participate in a crowdsensing task. In this paper, we propose an efficient Prediction-based User Recruitment for mobile crowdsEnsing (PURE... Read more on IEEE Xplore

RPL, an IPv6 routing protocol for Low power Lossy Networks (LLNs), is considered to be the de facto routing standard for the Internet of Things (IoT). However, more and more experimental results demonstrate that RPL performs poorly when it comes to throughput and adaptability to network dynamics. This significantly limits the application of RPL in many practical IoT scenarios, such as an LLN with... Read more on IEEE Xplore

To protect user privacy, many smartphone systems adopt the permission-based mechanism in which a user can evaluate the risk of requests for private information from a mobile app before installing it. However, recent studies show that the permission based mechanism is vulnerable to application collusion attacks because two apps, which appear to be harmless individually, can establish a covert... Read more on IEEE Xplore

Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using measurements from a dense wireless network. Existing methods achieve high accuracy localization using a complex system with many sophisticated components. In this work, we propose an alternative and simpler imaging system... Read more on IEEE Xplore