Abstract
Since the emergence of WSNs (Wireless Sensor Networks), various middleware architectures have been proposed to achieve a suitable abstraction from the distribution and management tasks of sensor devices. This allows users to focus on application development. In the near future, WSNs will be more pervasive, common, and distributed. Programming on WSNs requires a novel programming paradigm and middleware, especially in distributed and heterogeneous WSNs. We propose Virtual Sensor Agent-Oriented Middleware (VSAM), a middleware system for distributed and heterogeneous WSNs, which provides data dissemination protocol-independent Application Programming Interface (API) and an integrated platform for sensor applications. VSAM makes it possible to integrate WSNs with traditional networks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Römer, K.: Programming Paradigms and Middleware for Sensor Networks, GI/ITG Fachgespraech Sensornetze, Karlsruhe (Febraury 26-27, 2004)
Delicato, F., et al.: Service Oriented Middleware for Wireless Sensor Networks, TR. NCE04/04
Message Oriented Middleware Association (MOMA), A Middleware Taxonomy (1998), http://www.momainc.org/deucation/taxonomy.html
Mahmoud, Q.H.: Getting started With Java Data Objects (JDO): A Standard Mechanism for Persisting Plain Java Technology Objects, Technical Article, Sun Developer Network (August 2005)
Zhao, F., Guibas, L.J.: Wireless Sensor Networks: An Information Processing Approach. Elsevier, Oxford (2004)
Heinzelman, W.B., Murphy, A.L., Carvalho, H.S., Perillo, M.A.: Middleware to support sensor network applications. IEEE Network Mag. 18(1), 6–14 (2004)
Römer, K., Kasten, O., Mattern, F.: Middleware challenges for wireless sensor networks. Mobile. Computing and Communications Review 6(2) (2002)
Heinzelman, W., Chandrakasan, A., Balakrishana, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. IEEE Transactions on Wireless Communication 1(4), 660–670 (2002)
Wei, Y., Heidemann, J., Estrin, D.: An Energy-Efficient MAC Protocol for Wireless Sensor Networks, In: INFOCOM 2002(June 2002)
Cerpa, A., Estrin, D.: ASCENT: Adaptive Self-Configuring Sensor Network Topologies. In: INFOCOM 2002 (June 2002)
Chen, B., Jamieson, K., Balakrishana, H., Morris, R.: Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks. ACM Wireless Networks 8(5) (September 2002)
Schurgers, C., Tsiatsis, V., Ganeriwal, S., Srivastava, M.: Optimizing Sensor Networks in the Energy-Latency-Density Design Space. IEEE Transactions on Mobile Computing 1(1), 70–80 (2002)
Ramanathan, R., Rosales-Hain, R.: Topology Control of Multihop Wireless Networks Using Transmit Power Adjustment. In: INFOCOM 2000, pp. 404–413 (March 2000)
Braginsky, D., Estrin, D.: Rumor Routing Algorithm for Sensor Networks. In: 1st ACM Int. Workshop on Wireless Sensor Networks and Applications (2002)
Agarwal, D.P., Manjeshwar, A.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proc. of IC3N 2001, pp. 304–309 (2001)
Han, Q., Venkatasubramanian, N.: Autosec: An integrated middleware framework for dynamic service brokering. IEEE Distributed Systems Online 2(7) (2001)
Li, S., Son, S., Stankovic, J.: Event detection services using data service middleware in distributed sensor network. In: 2nd Int. Workshop on Information Processing in Sensor Networks (April 2003)
Liu, T., Martonosi, M.: Impala: A middleware system for manageing autonomic, parallel sensor system. In: PPoPP 2003 (June 2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gil, JM., Paek, KJ., Song, US. (2010). VSAM: Virtual Sensor Agent-Oriented Middleware for Distributed and Heterogeneous WSNs. In: Kim, Th., Yau, S.S., Gervasi, O., Kang, BH., Stoica, A., Ślęzak, D. (eds) Grid and Distributed Computing, Control and Automation. GDC CA 2010 2010. Communications in Computer and Information Science, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17625-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-17625-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17624-1
Online ISBN: 978-3-642-17625-8
eBook Packages: Computer ScienceComputer Science (R0)