Citation
Isaac Amundson, Manish Kushwaha, Xenofon Koutsoukos, Sandeep Neema, Janos Sztipanovits. "OASiS: A Service-Oriented Middleware for Pervasive Ambient-Aware Sensor Networks". Pervasive and Mobile Computing Journal on Middleware for Pervasive Computing, October 2006; (Submitted October, 2006).

Abstract
Heterogeneous sensor networks consisting of networked devices embedded into the physical world have a significant role in pervasive computing systems. Such sensor networks may contain wireless sensor networks that are ensembles of small, smart, and cheap sensing and computing devices that permeate the environment, as well as high-bandwidth rich sensors such as satellite imaging systems, meteorological stations, air quality stations, and security cameras. Emergency response, homeland security, and many other applications have a very real need to interconnect such diverse networks and access information in real-time. While Web service standards provide well-developed mechanisms for resource-intensive computing nodes, linking such mechanisms with wireless sensor networks is very challenging because of limited resources, volatile communication links, and often node mobility. This paper presents a service-oriented programming model and middleware for ad-hoc wireless sensor networks which permits discovery and access of Web services. Sensor network applications are realized as graphs of modular and autonomous services with well-defined interfaces that allow them to be published, discovered, and invoked over the network, providing a convenient mechanism for integrating services from heterogeneous sensor systems. Our approach provides dynamic discovery, composition, and binding of services based on an efficient localized constraint satisfaction algorithm that can be used for developing ambient-aware applications that adapt to changes in the environment. A tracking application that employs many inexpensive sensor nodes, as well as a Web service, is used to illustrate the approach. Our results demonstrate the feasibility of ambient-aware applications that interconnect wireless sensor networks and Web services.

Electronic downloads

• http://folk.uio.no/paalee/referencing_publications/ref-wsn-amundson_report2006.pdf. (URL points to a Technical Report Version)

• HTML

  Isaac Amundson, Manish Kushwaha, Xenofon Koutsoukos, Sandeep
  Neema, Janos Sztipanovits. <a
  href="http://chess.eecs.berkeley.edu/pubs/282.html"
  >OASiS: A Service-Oriented Middleware for Pervasive
  Ambient-Aware Sensor Networks</a>, <i>Pervasive
  and Mobile Computing Journal on Middleware for Pervasive
  Computing</i>, October 2006; (Submitted October, 2006).

• Plain text

  Isaac Amundson, Manish Kushwaha, Xenofon Koutsoukos, Sandeep
  Neema, Janos Sztipanovits. "OASiS: A Service-Oriented
  Middleware for Pervasive Ambient-Aware Sensor
  Networks". <i>Pervasive and Mobile Computing
  Journal on Middleware for Pervasive Computing</i>,
  October 2006; (Submitted October, 2006).

• BibTeX

  @article{AmundsonKushwahaKoutsoukosNeemaSztipanovits06_OASiSServiceOrientedMiddlewareForPervasiveAmbientAware,
      author = {Isaac Amundson and Manish Kushwaha and Xenofon
                Koutsoukos and Sandeep Neema and Janos Sztipanovits},
      title = {OASiS: A Service-Oriented Middleware for Pervasive
                Ambient-Aware Sensor Networks},
      journal = {Pervasive and Mobile Computing Journal on
                Middleware for Pervasive Computing},
      month = {October},
      year = {2006},
      note = {(Submitted October, 2006)},
      abstract = {Heterogeneous sensor networks consisting of
                networked devices embedded into the physical world
                have a significant role in pervasive computing
                systems. Such sensor networks may contain wireless
                sensor networks that are ensembles of small,
                smart, and cheap sensing and computing devices
                that permeate the environment, as well as
                high-bandwidth rich sensors such as satellite
                imaging systems, meteorological stations, air
                quality stations, and security cameras. Emergency
                response, homeland security, and many other
                applications have a very real need to interconnect
                such diverse networks and access information in
                real-time. While Web service standards provide
                well-developed mechanisms for resource-intensive
                computing nodes, linking such mechanisms with
                wireless sensor networks is very challenging
                because of limited resources, volatile
                communication links, and often node mobility. This
                paper presents a service-oriented programming
                model and middleware for ad-hoc wireless sensor
                networks which permits discovery and access of Web
                services. Sensor network applications are realized
                as graphs of modular and autonomous services with
                well-defined interfaces that allow them to be
                published, discovered, and invoked over the
                network, providing a convenient mechanism for
                integrating services from heterogeneous sensor
                systems. Our approach provides dynamic discovery,
                composition, and binding of services based on an
                efficient localized constraint satisfaction
                algorithm that can be used for developing
                ambient-aware applications that adapt to changes
                in the environment. A tracking application that
                employs many inexpensive sensor nodes, as well as
                a Web service, is used to illustrate the approach.
                Our results demonstrate the feasibility of
                ambient-aware applications that interconnect
                wireless sensor networks and Web services.},
      URL = {http://chess.eecs.berkeley.edu/pubs/282.html}
  }
  

Posted by Christopher Brooks on 6 Jun 2007.
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