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MobilWare 2015: call for papers!

MobilWare 2015, the 7th EAI International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications, will take place in Wuhan, People’s Republic of China on November 9–11.

Recent advances in wireless communications, the proliferation of powerful mobile devices and cloud services have enabled smart cyber-physical environments and mobile clouds where people and devices can seamlessly interact and mass-market users are willing to receive/contribute to a wide range of mobile services, everywhere and anytime, while interacting with massive amounts of big data. A key enabler of these pervasive ubiquitous environments is the advancement of software and middleware technologies in various mobile-related sectors, ranging from effective synergic management of wireless communications to mobility/adaptivity support in operating systems, from horizontal support to crowdsourcing in different domains to dynamic offloading to cloud resources as part of big data, only to mention a few. The middleware connecting sensors, clouds and big-data remains challenge.

Topics of interest include:

  • New middleware concepts for mobile devices;
  • New middlware to support rich space of networked sensor system;
  • Mobile middleware enabling machine-to-machine communication;
  • Mobile crowdsourcing and people-centric collaborative sensing;
  • Big data from mobile sensors-generated data streams;
  • Middleware coupling with big data;
  • Middleware-aware big data platforms and services;
  • Data-intensive services for next-generation middleware;
  • Smart space/city middleware and applications;
  • Uncertain and imprecise information processing over middleware;
  • Mobile Middleware services for big data accesss and report   generation;
  • Middleware for mobile cloud computing (e.g., seamless offloading);
  • Novel mechanisms for wireless-sensor and home networks;
  • End-to-end architectures for ubiquitous service provisioning and  deployment;
  • Synergic integration of heterogeneous wired and wireless networks;
  • QoS awareness, adaptation, and fault-tolerance of mobile services;
  • Opportunistic, delay-tolerant, and store-carry-forward techniques for mobile and wireless networking;
  • Location/context-dependent support and services;
  • Energy-efficient applications, services, and middleware;
  • Mobility and handoff management;
  • Human-computer interface and portable 3D graphics for mobile devices;
  • Modeling, simulation, and performance evaluation of mobile wireless systems and services.

Proceedings will be submitted for indexing in all major biblio indexes, e.g., Google Scholar, ISI, EI Compendex, Scopus, and many more. All accepted papers will be published by Springer and made available through SpringerLink Digital Library, one of the world’s largest scientific libraries.

Selected papers will be considered for publication in ACM/SPRINGER WINET. Extended versions of selected best papers will be invited for magazine submission (special sections and fast review track) to IEEE IT Professional.

Important dates:

Paper submission deadline: July 31st, 2015

Acceptance Notification: September 15th, 2015

Camera-ready deadline: September 30th, 2015

Find more details here.

Categories
Papers

Mobile crowdsensing, more efficiently

The idea of using technology to collect data for the benefit of an individual has become rather popular over the last few years. Collecting data for collective benefit is a logical extension of this trend. Why stop at personal health monitoring when we can use sensors carried by individuals to monitor things like air quality and thus have the possibility to have an impact on the health of masses?

A range of domains is expected to benefit from the large amount of sensing data that can be provided by devices equipped with sensors, such as, but not only, mobile phones. Mobile crowdsensing, i.e. collecting data at a larger scale, however, is a complex task that comes with larger challenges.

Recent work of five researchers from the Faculty of Electrical Engineering and Computing at the University of Zagreb that resulted in the paper presented at the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing that took place in Miami in October 2014. The paper focuses on three main issues. It recognizes the need for solutions that provide sufficient sensing coverage without consuming too much energy of the devices; optimize the amount of data transmitted in order to reduce network bandwidth consumption; and process large amounts of data efficiently.

They propose a sensor management scheme that can achieve significant energy consumption reductions without compromising quality. Unlike a standard publish/subscribe-based solution, the filtering process of the CUPUS middleware suppresses redundant sensor-readings. Following an analysis of a real data set measuring user distribution in Seoul, South Korea, the authors conclude that, together with a QoS Sensor Management Function, the CUPUS system can indeed present savings ranging from 40% to 80%.

To learn more about the details of how this efficient solution works, read the full paper here.