Event Matching Algorithm to Collaborate Sensor Network and the Cloud through a Middleware Service
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Cloud computing and virtual communities have been changing the face of communication. Cloud computing covers almost every services and provides most of data services. On the other hand, wireless sensor networks (WSN) gained attention for their potential supports such as environment monitoring, bio-median acknowledgment, healthcare monitoring, industrial automation etc. But this sensor network is not available to community groups or cloud environment for general purpose research or utilization yet. If we can reduce the gap between real and virtual world by adding this WSN produced data to cloud environment and virtual communities to alert the general researchers about environmental situations, it can gain a remarkable attention all over and we can be benefited in all our ability. To do this we need to make collaboration between sensor networks and the cloud environment. Here we have proposed a pub/sub based middleware service for WSN and Cloud platform collaboration which will provide resource, service, and storage with sensor driven data to the community. We proposed a content based event matching algorithm to analyze subscriptions and match proper content easily to convey WSN driven data to subscribers. The validation shows this content matching algorithm works efficiently compared with previously proposed algorithms to integrate WSN to cloud environment to lower the gap between real and virtual world.
KeywordsEvent matching middleware service WSN cloud computing
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- 1.Buyya, R., Yeo, C.S., et al.: Market Oriented Cloud Computing: Vision, Hype and Reality for Delivering IT Services as Computing Utilities. In: Proc. of 10th IEEE Conference on HPCC, pp. 5–13 (2008)Google Scholar
- 2.Khedo, K.K., Subramanian, R.K.: A Service-Oriented Component-Based Middleware Architecture for Wireless Sensor Networks. International Journal of Computer Science and Network Security 9(3), 174–182 (2009)Google Scholar
- 4.Hassan, M.M., Song, B., Huh, E.-N.: A framework of sensor-cloud integration opportunities and challenges. In: ICUIMC 2009 Proceedings, pp. 618–626. ACM (2009)Google Scholar
- 5.Lim, H.B., Teo, Y.M., Mukherjee, P., Lam, V.T., et al.: Sensor Grid: Integration of Wireless Sensor Networks and the Grid. In: Proc. of the IEEE Conf. on Local Computer Networks, pp. 91–98 (2005)Google Scholar
- 6.Harris, D.: The Grid Cloud Connection: Compare and Contrast, http://www.on-demandenterprise.com/features/The_Grid-Cloud_Connection_Pt_I_Compare_and_Contrast_30634819.html
- 7.Hunkeler, U., Truong, H.L., Stanford-Clark, A.: MQTT-S – A Publish/Subscribe Protocol For Wireless Sensor Networks. In: IEEE Conference on COMSWARE, pp. 791–798 (2008)Google Scholar
- 9.Hall, C.P., Carzaniga, A., Rose, J., Wolf, A.L.: A content-based networking protocol for sensor networks. Department of Computer Science, University of Colorado,Technical Report (2004)Google Scholar
- 10.Liu, Z., et al.: Scalable Event Matching for Overlapping Subscriptions in Pub/Sub Systems. In: Proc. of DEBS 2007, pp. 250–261. ACM Press (2007)Google Scholar
- 11.Gaynor, M., et al.: Integrating wireless sensor networks with the grid. IEEE Internet Computing, 32–39 (2004)Google Scholar