Scenes: Abstracting interaction in immersive sensor networks

Sanem Kabadayi*, Christine Julien

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Pervasive computing deployments are increasingly using sensor networks to build instrumented environments that provide local data to immersed mobile applications. These applications demand opportunistic and unpredictable interactions with local devices. While this direct communication has the potential to reduce both overhead and latency, it deviates significantly from existing uses of sensor networks that funnel information to a static central collection point. This pervasive computing driven perspective demands new communication abstractions that enable the required direct communication among mobile applications and sensors. This paper presents the scene abstraction, which allows immersed applications to create dynamic distributed data structures over the immersive sensor network. A scene is created based on application requirements, properties of the underlying network, and properties of the physical environment. This paper details our work on defining scenes, providing an abstract model, an implementation, and an evaluation.

Original languageEnglish
Pages (from-to)635-658
Number of pages24
JournalPervasive and Mobile Computing
Volume3
Issue number6
DOIs
Publication statusPublished - Dec 2007
Externally publishedYes

Funding

The authors thank the anonymous reviewers for their comments. We would also like to thank the Center for Excellence in Distributed Global Environments for providing research facilities and the collaborative environment. This research was funded, in part, by the National Science Foundation (NSF), Grants # CNS-0620245 and OCI-0636299. The conclusions herein are those of the authors and do not necessarily reflect the views of the sponsoring agencies. Sanem Kabadayı received her B.S. in Electrical Engineering and B.S. in Physics degrees from the University of Texas at Austin in 2000. She received her MSEECS from Sabanci University in 2002. She is currently a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Texas at Austin and a member of the Mobile and Pervasive Computing Group. Her current research focuses on middleware for immersive sensor networks and pervasive computing environments. Christine Julien received the B.S. degree in computer science and biology in 2000 from Washington University in Saint Louis. She continued at Washington University for her graduate degrees, where she received the M.S. degree (2003) and the D.Sc. degree (2004) both in Computer Science. She is currently an assistant professor on the faculty of the Department of Electrical and Computer Engineering at the University of Texas at Austin, where she is a member of the Center for Excellence in Distributed Global Environments. She has published papers in varying areas including mobile computing, software engineering, group communication, and formal methods. Her current research interests involve communication and software engineering issues related to mobile and pervasive computing environments.

FundersFunder number
National Science FoundationCNS-0620245, OCI-0636299

    Keywords

    • Coordination
    • Pervasive computing
    • Sensor networks

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