skip to main content
10.1145/2422531.2422547acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
research-article

SensorAct: a privacy and security aware federated middleware for building management

Authors Info & Claims
Published:06 November 2012Publication History

ABSTRACT

The archaic centralized software systems, currently used to manage buildings, make it hard to incorporate advances in sensing technology and user-level applications, and present hurdles for experimental validation of open research in building information technology. Motivated by this, we --- a transnational collaboration of researchers engaged in development and deployment of technologies for sustainable buildings --- have developed SensorAct, an open-source federated middleware incorporating features targeting three specific requirements: (i) Accommodating a richer ecosystem of sensors, actuators, and higher level third-party applications (ii) Participatory engagement of stakeholders other than the facilities department, such as occupants, in setting policies for management of sensor data and control of electrical systems, without compromising on the overall privacy and safety, and (iii) Flexible interfacing and information exchange with systems external to a building, such as communication networks, transportation system, electrical grid, and other buildings, for better management, by exploiting the teleconnections that exist across them. SensorAct is designed to scale from small homes to network of buildings, making it suitable not only for production use but to also seed a global-scale network of building testbeds with appropriately constrained and policed access. This paper describes SensorAct's architecture, current implementation, and preliminary performance results.

References

  1. K. Aberer, M. Hauswirth, and A. Salehi. Global Sensor Networks. In Technical report LSIR-REPORT-2006-001, 2006.Google ScholarGoogle Scholar
  2. R. Brewer and P. Johnson. WattDepot: An Open Source Software Ecosystem for Enterprise-Scale Energy Data Collection, Storage, Analysis, and Visualization. In First IEEE International Conference on Smart Grid Communications, SmartGridComm, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  3. R. Cáceres, L. Cox, H. Lim, A. Shakimov, and A. Varshavsky. Virtual Individual Servers as Privacy-Preserving Proxies for Mobile Devices. In Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds, MobiHeld, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. H. Choi, S. Chakraborty, Z. M. Charbiwala, and M. B. Srivastava. SensorSafe: a Framework for Privacy-Preserving Management of Personal Sensory Information. In Proceedings of the 8th VLDB international conference on Secure data management, SDM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. X. Chu, T. Kobialka, B. Durnota, and R. Buyya. Open Sensor Web Architecture: Core Services). In 4th International Conference on Intelligent Sensing and Information Processing, ICISIP, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  6. S. Dawson-Haggerty, X. Jiang, G. Tolle, J. Ortiz, and D. Culler. sMAP: a Simple Measurement and Actuation Profile for Physical Information. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. C. Dixon, R. Mahajan, S. Agarwal, A. Brush, B. Lee, S. Saroiu, and V. Bahl. An Operating System for the Home. NSDI, USENIX, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. D. Engler and M. Kaashoek. DPF: Fast, Flexible Message Demultiplexing using Dynamic Code Generation. In ACM SIGCOMM Computer Communication Review, volume 26, pages 53--59. ACM, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. R. Newton, L. Girod, M. Craig, S. Madden, and G. Morrisett. Wave-Script: A Case-Study in Applying a Distributed Stream-Processing Language. system, 1(2008/1):31, 2008.Google ScholarGoogle Scholar
  10. A. Rowe, M. Berges, G. Bhatia, E. Goldman, R. Rajkumar, J. H. Garrett, J. M. F. Moura, and L. Soibelman. Sensor Andrew: Large-scale Campus-wide Sensing and Actuation. IBM Journal of Research and Development, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A. Santanche, S. Nath, J. Liu, B. Priyantha, and F. Zhao. SenseWeb: Browsing the Physical World in Real Time (Demo Abstract). In ACM/IEEE Information Processing in Sensor Network, IPSN 2006.Google ScholarGoogle Scholar
  12. K. Shilton, J. Burke, D. Estrin, R. Govindan, M. Hansen, J. Kang, and M. Mun. Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing. TPRC, 2009.Google ScholarGoogle Scholar
  13. L. V. Thanayankizil, S. K. Ghai, D. Chakraborty, and D. P. Seetharam. Softgreen: Towards Energy Management of Green Office Buildings with Soft Sensors. In Fourth International Conference on Communication Systems and Networks, COMSNETS, 2012.Google ScholarGoogle Scholar
  14. Z. Wu, M. Xie, and H. Wang. Swift: A Fast Dynamic Packet Filter. In Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pages 279--292. USENIX Association, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. SensorAct: a privacy and security aware federated middleware for building management

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
        November 2012
        227 pages
        ISBN:9781450311700
        DOI:10.1145/2422531

        Copyright © 2012 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 November 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate148of500submissions,30%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader