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MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
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MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
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Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A two-tier data dissemination model for large-scale wireless sensor networks
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WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
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Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and
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Proceedings of the 1st international conference on Embedded networked sensor systems
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An adaptive rendezvous data dissemination for irregular sensor networks with multiple sinks
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NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
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UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
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Wireless Networks
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The Journal of Supercomputing
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In this paper, we present Railroad, a data dissemination architecture for large-scale wireless sensor networks. Railroad system proactively exploits a virtual infrastructure called Rail, which is an area where all the metadata of event data are stored. There is only one Rail in the network and it acts as a rendezvous area of the events and the queries. Rail is placed in the middle area of the field so that every node can easily access it. Once a query is issued, it circulates around Rail and searches relevant data stored in Rail. When a relevant metadata is found, the source node of the data transmits the corresponding data to the sink node which has issued the query. By using Rail, Railroad achieves a scalable and energy-efficient data dissemination architecture under dynamic conditions with multiple mobile observers and targets. We evaluate and compare the communication cost and the hot spot message complexity of Railroad with previous approaches.