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Topic 14: Mobile and Ubiquitous Computing

2012, Euro-Par 2012 Parallel Processing

The tremendous advances in wireless networks, mobile computing, and sensor networks, along with the rapid growth of small, portable and powerful computing devices, offers more and more opportunities for pervasive computing and communications. This topic deals with cutting-edge research in various aspects related to the theory and practice of mobile computing or wireless and mobile networking. These aspects include architectures, algorithms, networks, protocols, modeling and performance issues, data management, ...

Topic 14: Mobile and Ubiquitous Computing Paolo Santi, Sotiris Nikoletseas, Cecilia Mascolo, and Thiemo Voigt Topic Committee The tremendous advances in wireless networks, mobile computing, and sensor networks, along with the rapid growth of small, portable and powerful computing devices, offers more and more opportunities for pervasive computing and communications. This topic deals with cutting-edge research in various aspects related to the theory and practice of mobile computing or wireless and mobile networking. These aspects include architectures, algorithms, networks, protocols, modeling and performance issues, data management, and novel applications and services. The aim of this topic is to bring together computer scientists and engineers from both academia and industry working in this exciting and emerging area of pervasive computing and communications, to share their ideas and results with their peers. After careful selection, two papers have been selected for this topic. The first paper falls within the emerging area of wireless sensor networks, and proposes a new clustering algorithm for improving energy efficiency when gathering data from the sensor network by means of a mobile collector. The main idea of the clustering algorithm is borrowed from the image processing field, and is based on the notion of watershed transformation which is used to select clusterheads within the network. After clusterhead selection, a mobile sink node periodically visits the clusterhead nodes to collect data. The proposed clustering method is shown by means of simulations to significantly outperform existing approaches in terms of extended network lifetime. The second paper lies within the realm of mobile network modeling, which is also perceived as a very important topic within the mobile computing and networking community. In particular, the authors of the paper analyze for the first time a property of a mobile network called “liveness”, which can be informally defined as absence/presence of relatively long disconnection periods during the network lifetime. To analyze “liveness”, the authors perform several simulations using different mobility models, including both synthetic models and GPS traces collected from real-world experiments. The analysis discloses interesting insights that might turn useful for the design of mobile networking protocols, such as that the “liveness” property of a network does not depend on the speed of nodes, but on other parameters such as node density. C. Kaklamanis et al. (Eds.): Euro-Par 2012, LNCS 7484, p. 753, 2012. c Springer-Verlag Berlin Heidelberg 2012