ABSTRACT
Semantic technologies provide an expressive, interoperable means of deriving knowledge from the profusion of raw data gathered by sensor networks. The W3C's Semantic Sensor Network (SSN) ontology provides a complex but powerful metadata standard for describing large-scale sensing systems. However, managing this metadata across large, heterogeneous sensor networks is cumbersome, especially when non-technical parties independently deploy various types of instruments. To place the descriptive power of the Semantic Web at the fingertips of sensor network professionals, we must bridge the gap between abstract semantic frameworks and real-world sensor hardware. In this paper, we present a metadata management system for heterogeneous sensor networks based on the SSN ontology. Using Semantic Web concepts, we design and implement a system for maintaining hardware information and describing individual sensor deployments. Finally, we show the viability of our architecture by describing its integration with Intelligent River®, a large-scale sensor network initiative, and evaluating its effectiveness based on real sensor deployments.
- Aline Baggio. Wireless sensor networks in precision agriculture. In ACM Workshop on Real-World Wireless Sensor Networks (REALWSN 2005), Stockholm, Sweden, 2005.Google Scholar
- Tim Berners-Lee, James Hendler, Ora Lassila, et al. The semantic web. Scientific american, 284(5):28--37, 2001.Google ScholarCross Ref
- N. Dawes, K. A. Kumar, S. Michel, K. Aberer, and M. Lehning. Sensor metadata management and its application in collaborative environmental research. In eScience, 2008. eScience '08. IEEE Fourth International Conference on, pages 143--150, 2008. Google ScholarDigital Library
- Sam Esswein, Sebastien Goasguen, Chris Post, Jason Hallstrom, David White, and Gene Eidson. Towards ontology-based data quality inference in large-scale sensor networks. In Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012), CCGRID '12, pages 898--903, Washington, DC, USA, 2012. IEEE Computer Society. Google ScholarDigital Library
- Carolina Fortuna, Patricia Oniga, Zoltan Padrah, Mihael Mohorcic, and Alexandra Moraru. Metadata management for the web of things: A practical perspective. In Proceedings of the Third International Workshop on the Web of Things, WOT '12, pages 4:1--4:6, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- GoPivotal, Inc. Spring data. http://projects.spring.io/spring-data/.Google Scholar
- Hoyoung Jeung, S. Sarni, I. Paparrizos, S. Sathe, K. Aberer, N. Dawes, T. G. Papaioannou, and M. Lehning. Effective metadata management in federated sensor networks. In Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010 IEEE International Conference on, pages 107--114, 2010. Google ScholarDigital Library
- Laurent Lefort, Cory Henson, Kerry Taylor, Payam Barnaghi, Michael Compton, Oscar Corcho, Raul Garcia-Castro, John Graybeal, Arthur Herzog, Krzysztof Janowicz, Holger Neuhaus, Andriy Nikolov, and Kevin Page. SSN XG final report, http://www.w3.org/2005/Incubator/ssn/XGR-ssn/. Technical report, W3C Incubator Group, 2011.Google Scholar
- Lufeng Mo, Yuan He, Yunhao Liu, Jizhong Zhao, Shao-Jie Tang, Xiang-Yang Li, and Guojun Dai. Canopy closure estimates with greenorbs: Sustainable sensing in the forest. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys '09, pages 99--112, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- Razvan Musaloiu-E, Andreas Terzis, Katalin Szlavecz, Alex Szalay, Joshua Cogan, and Jim Gray. Life under your feet: A wireless soil ecology sensor network. In Proc. 3rd Workshop on Embedded Networked Sensors (EmNets 2006), 2006.Google Scholar
- Lama Nachman, Ralph Kling, Robert Adler, Jonathan Huang, and Vincent Hummel. The intel® mote platform: a bluetooth-based sensor network for industrial monitoring. In Proceedings of the 4th international symposium on Information processing in sensor networks, page 61. IEEE Press, 2005. Google ScholarDigital Library
- Leonard Richardson and Sam Ruby. RESTful web services. O'Reilly Media, 2008.Google ScholarDigital Library
- Nigel Shadbolt, Wendy Hall, and Tim Berners-Lee. The semantic web revisited. Intelligent Systems, IEEE, 21(3):96--101, 2006. Google ScholarDigital Library
- The Apache Software Foundation. Apache jena. https://jena.apache.org/.Google Scholar
- David L White, Samuel Esswein, Jason O Hallstrom, Farha Ali, Shashank Parab, Gene Eidson, Jill Gemmill, and Christopher Post. The intelligent river©: Implementation of sensor web enablement technologies across three tiers of system architecture: Fabric, middleware, and application. In Collaborative Technologies and Systems (CTS), 2010 International Symposium on, pages 340--348. IEEE, 2010.Google ScholarCross Ref
- World Wide Web Consortium. Sparql 1.1 query language. http://www.w3.org/TR/sparql11-query/.Google Scholar
- World Wide Web Consortium. W3c semantic web activity. http://www.w3.org/2001/sw/.Google Scholar
Index Terms
- Managing metadata in heterogeneous sensor networks
Recommendations
Semantic Sensor Web
Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and ...
Stochastic coverage in heterogeneous sensor networks
We study the problem of coverage in planar heterogeneous sensor networks. Coverage is a performance metric that quantifies how well a field of interest is monitored by the sensor deployment. To derive analytical expressions of coverage for heterogeneous ...
An efficient cluster-based communication protocol for wireless sensor networks
A wireless sensor network is a network of large numbers of sensor nodes, where each sensor node is a tiny device that is equipped with a processing, sensing subsystem and a communication subsystem. The critical issue in wireless sensor networks is how ...
Comments