Pervasive and Mobile Computing Special Issue on

Pervasive Computing and Communications for Sustainability Guest Editors: Dr. Krishna Kant, Intel Corporation, ([email protected]) Dr. Scott Midkiff, Virginia Tech ([email protected])

Purpose and Significance: In recent years as the concerns over catastrophic climate change have mounted, it has become increasingly important to consider environmental impact in all aspects of life ranging from sustainable living to managing the environment wisely to investing in technologies with minimal adverse ecological impact. Pervasive computing involving continuous multimodal sensing and context aware reasoning can help in this regard by replacing current methods of providing services with more intelligent and energy efficient alternatives. Pervasive computing can also help conserve natural resources, track toxic substances, and monitor/regulate environmental impact. At the same time, a world-wide proliferation of smaller, cheaper and more intelligent computing devices could collectively consume more energy, more natural resources, complicate recycling, and make it prohibitively expensive to extract and contain toxic substances. Even with highly energy efficient electronics, the cumulative lifecycle energy cost associated with pervasively deployed computing devices is likely to be high. The vision of pervasive computing has been that of computing seamlessly embedded in everything around us so that it becomes “invisible”. Unfortunately, this vision has not considered the environmental invisibility which demands that pervasive computing also strive to have a negligible ecological footprint. The purpose of this special issue is to explore the state of the art, challenges, and prognosis for making pervasive computing truly invisible while helping to solve the most urgent emerging problems relating to environmental health and stewardship. The topics include but are not limited to: ¾ Smart energy systems for homes, enterprises, malls, campuses, etc. that provide control of lighting, heating, cooling, displays, etc. by considering context and usage ¾ Role of social networking and smart interaction for energy conservation, emissions control, and waste reduction ¾ Pervasive technologies for food waste/spoilage monitoring and reduction (in all phases including crop growing, processing, storage, transportation, retailing of raw and cooked food, and in-home food handling) ¾ Pervasive technologies for water quality monitoring and control (including oceanic, lakes, subsurface, natural and engineered waterways, and water supply systems) in the context of needs of humans, wildlife, sea life, and vegetation ¾ Pervasive technologies for environmental impact monitoring and control in natural and manmade disaster scenarios ¾ Large area multi-modal traffic flow scheduling and synchronization for transportation system energy efficiencies ¾ Scalability challenges in large-scale environmental monitoring (including hardware, software, deployment, management, data gathering/processing, reliability, security, etc.) ¾ Challenges and tradeoffs in reducing the ecological footprint of pervasive computing ¾ Dynamic self-configuration of pervasive systems to optimize performance, adapt to external events, energy constraints or faults, etc.

¾ Configuration management (including dealing with misconfigurations) for environmental monitoring Although the topic of sustainability has been visited in couple of other pervasive computing forums, the purpose of this special issue is to provide an archival journal forum for current research in this area. We envision 5-8 papers in the special issue. The invited articles may be tutorial/survey type or regular papers.

Tentative Dates Submission Deadline: Nov 15, 2010 Acceptance Notification: February 15, 2010 Final revised manuscripts due: April 15, 2011 Expected Publication date: Late summer 2011

Pervasive Computing and Communications for Sustainability - Elsevier

lighting, heating, cooling, displays, etc. by considering context and usage. ➢ Role of social networking and smart interaction for energy conservation, emissions ...

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