Abstract
We present an architecture for a class of systems that perform distributed, collaborative, adaptive sensing (DCAS) of the atmosphere. Since the goal of these DCAS systems is to sense the atmosphere when and where the user needs are greatest, end-users naturally play the central role in determining how system resources (sensor targeting, computation, communication) are deployed. We describe the meteorological command and control components that lie at the heart of our testbed DCAS system, and provide timing measurements of component execution times. We then present a utility-based framework that determines how multiple end-user preferences are combined with policy considerations into utility functions that are used to allocate system resources in a manner that dynamically optimizes overall system performance. We also discuss open challenges in the networking and control of such end-user-driven systems.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Lee, P., Banka, T., Jayasumana, A.P., Chandrasekar, V.: Content-based Packet Marking for Application-Aware Processing in Overlay Networks. In: 2006 IEEE Intl. Conf. on Local Computer Networks, Tampa, FL (November 2006)
Banka, T., Lee, P., Jayasumana, A.P., Kurose, J.: An Architecture and a Programming Interface for Application-Aware Data Dissemination Using Overlay Networks (submitted)
Corner OSEE, http://gaia.cs.umass.edu/casa/cornerOSSE.mpg
Chong, C., Kumar, S.: Sensor networks: Evolution, opportunities, and challenges. In: Proc. IEEE (August 2003)
Dynamic Data Driven Application Systems Workshop (2006), http://www.nsf.gov/cise/cns/dddas/2006_Workshop/
Donovan, B., McLaughlin, D.J.: Improved radar sensitivity through limited sector scanning: The DCAS approach. In: Proc. of AMS Radar Meteorology (2005)
Donovan, B., McLaughlin, D.J., Kurose, J., Chandrasekar, V.: Principles and Design Considerations for Short-Range Energy Balanced Radar Networks. In: Proc. IGARSS 2005, Seoul, Republic of Korea (2005)
Estrin, D., Culler, D., Pister, K.: Connecting the Physical World with Pervasive Networks. IEEE Pervasive Computing 1, 1 (January-March 2002)
Hondl, K.: Capabilities and Components of the Warning Decision and Support System – Integrated Information (WDSS-II). In: Proc. American Meteorological Society Annual Meeting, Long Beach (January 2003)
Jaganathan, V., Dodhiawala, R., Baum, L.: Blackboard Architectures, Applications. Academic Press, London (1989)
Kansal, A., Potter, D., Srivastava, M.B.: Performance aware tasking for environmentally powered sensor networks. In: Proc. ACM SIGMETRICS (2004)
Liberatore, V.: Integrated Play-Back, Sensing, and Networked Control. In: Proc. 2006 IEEE Infocom (2006)
Lord, S.J., Kalnay, E., Daley, R., Emmitt, G.D., Atlas, R.: Using OSSEs in the design of the future generation of integrated observing systems. In: First Symp. Integrated Observation Systems, Amer. Meteor. Soc., pp. 45–47 (preprints, 1997)
Manfredi, V., et al.: A Comparison of Myopic and Non-Myopic Scanning Strategies in a DCAS Meteorological Sensing Network (in preparation)
Malouch, N., Manfredi, V., Kurose, J., Zhang, C.: On the Value of Separation of Control and Data in a Distributed Meteorological Sensing Network (submitted)
McLaughlin, D., Chandrasekar, V., Droegemeier, K., Frasier, S., Kurose, J., Junyent, F., Philips, B., Cruz-Pol, S., Colom, J.: Distributed Collaborative Adaptive Sensing (DCAS) for Improved Detection, Understanding, and Prediction of Atmospheric Hazards. In: 9th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, San Diego, CA. American Meteorological Society (2005)
National Oceanic and Atmospheric Administration. Radar Resources, http://www.ncdc.noaa.gov/oa/radar/radarresources.html
Pepyne, D., et al.: Defining and Optimizing Utility in NetRad, a Collaborative Adaptive Sensor Network for Hazardous Weather Detection. CASA Technical Report
Zhang, C., Kurose, J., Liu, Y., Towsley, D., Zink, M.: A Distributed Algorithm for Joint Sensing and Routing in Wireless Networks with Non-Steerable Directional Antennas. In: IEEE Int. Conference on Network Protocols (October 2006)
Zink, M., Westbrook, D., Abdallah, S., Horling, B., Lakamraju, V., Lyons, E., Manfredi, V., Kurose, J., Hondl, K.: Meteorological command and control: An end-to-end architecture for a hazardous weather detection sensor network. In: ACM Mobisys Workshop on End-end Sense-and-Response Systems (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kurose, J. et al. (2006). An End-User-Responsive Sensor Network Architecture for Hazardous Weather Detection, Prediction and Response. In: Cho, K., Jacquet, P. (eds) Technologies for Advanced Heterogeneous Networks II. AINTEC 2006. Lecture Notes in Computer Science, vol 4311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11930181_1
Download citation
DOI: https://doi.org/10.1007/11930181_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49364-8
Online ISBN: 978-3-540-49365-5
eBook Packages: Computer ScienceComputer Science (R0)