In this paper we analyze the characteristics of vehicle mobility and propose a novel Mobility Prediction Progressive Routing (MP2R) protocol for Inter-Vehicle Communication (IVC) that is based on cross-layer design. MP2R utilizes the additional gain provided by the directional antennas to improve link quality and connectivity; interference is reduced by the directional transmission. Each node l...

A recent topic in mobility management research field is mobility prediction. Mobility prediction can be defined as the prediction of a mobile user’s next movement where the mobile user is traveling between the cells. The predicted movement can then be used to increase the efficiency of Personal Communication Systems. In mobile web environment, it is often desirable to effectively mine multileve...

Mobile edge computing is an emerging technology that provides services within the close proximity of mobile subscribers by edge servers that are deployed in each edge server. Mobile edge computing platform enables application developers and content providers to serve context-aware services (such as service recommendation) by using real time radio access network information. In service recommend...

Predicting individual-level mobility patterns is an imperative part of ubiquitous computing, in growing real-world applications like transport management and disease spread. While data sources such as GPS trackers or Call Data Records are temporally-rich, they are expensive, often not publicly available, or garnered only in select locations, restricting their wide use. Conversely, geo-located s...

Mobile ad hoc networks (MANETs) can be defined as self organized, self coordinated, infrastructure less communication networks with mobile nodes. The protocol called “Power Aware Multiple QoS constraints Multi path Routing Protocol with Mobility Prediction (PMQMRPMP)” is a source based reactive protocol. It considers quality of service (QoS) constraints namely delay, delay-jitter, bandwidth, an...

Recent advances in wireless and mobile computing have paved the way for an unprecedented demand growth for mobile services and applications. These services and applications communicate and exchange information using wireless local area networks (WLANs) and mobile ad hoc networks (MANETs). However, new design challenges emerge due to the error-proneness, self-organization and mobility nature of ...

Throughout a patient's stay in the Intensive Care Unit (ICU), accurate measurement of patient mobility, as part of routine care, is helpful in understanding the harmful effects of bedrest [1]. However, mobility is typically measured through observation by a trained and dedicated observer, which is extremely limiting. In this work, we present a video-based automated mobility measurement system c...

Monitoring an individual's mobility with a modern smartphone can have a profound impact on rehabilitation in the community. The thesis objective was to develop and evaluate a third-generation Wearable Mobility Monitoring System (WMMS) that uses features from inertial measurement units to categorize activities and determine user changes-of-state in daily living environments. A custom suite of MA...

The prediction of suspect location enables proactive experiences for crime investigations and offers essential intelligence for crime prevention. However, existing studies have failed to capture the complex social location transition patterns of suspects and lack the capacity to address the issue of data sparsity. This paper proposes a novel location prediction model called CMoB (Crime Multi-or...