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This paper introduces a Bayesian model to predict and classify the mobility of a node in Mobile Ad-hoc Networks (MANETs). The proposed model does not use the additional information from Global Positioning System (GPS) for its prediction as some existing models did. Instead, it relies on the “average encounter rate” and “node degree” calculated at each node. However, the outcome is still recorded at...
This paper investigates the link prediction problem in location-based social networking services (LBSNS) with protected location history. While former approaches mainly utilize the accurate locations, the relevant data we analyzed are modeled by a location privacy protection model called k-anonymous spatial-temporal cloaking model (KSTCM) which perturbs the location-related records on both temporal...
The ever-growing popularity of handheld mobile devices has been accelerated by their ubiquitous presence to support user mobility. In mobile environments, a prior prediction of user movements can improve both network and application-level performances. In the existing literature, a major research on mobility has focused on user behavior to predict their movements. Although emergency-affected users...
In location-based services (LBSs), the service is provided based on the users' locations through location determination and mobility realization. Several location prediction models have been proposed to enhance and increase the relevance of the information retrieved by users of mobile information systems, but none of them studied the relationship between accuracy rate of prediction and the performance...
Mobility pattern of device users plays a crucial role in a wide range of mobile computing applications, including data forwarding, content sharing, information search and advertising. Hence, it is important to characterize the mobility path information of users, so as to accurately predict user mobility. In this paper, we introduce two typical user mobility patterns: standard Markov and semi-Markov...
The use of virtual keyboards is becoming ubiquitous with increasing use in mobile devices and touch-screens. Till now the research has mainly focused on developing layouts which support high typing speed, but the error aspect has been largely ignored. This research aims at developing a novel error model which relates accuracy with a given layout using the distance between keys. The main idea here...
The database correlation method (DCM) is a network based positioning technology which has shown superior in terms of accuracy. DCM is based on a pre-measured database of a location dependent variable such as received signal strength (RSS). Even though the technique has good potential, the practical difficulty in forming the database (fingerprints) using field measurements has become the major challenge...
In mobile distributed computing scenarios, data replication management can be enhanced by considering client mobility. This work introduces a mobility model for mobile clients which enables proactive replica placement based on mobility predictions to increase the responsiveness of data access for mobile end users and to reduce the network load in the system. The concept is applied to a flexible replica...
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