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Furthermore, a suitable organization for data dissemination in mobile networks should be centered around interests.
In WSNs with tiny sensors, mobility of a sink may provide an energy efficient way for data dissemination.
The existing studies often construct network structures to enable time-slotted multi-hop pipelining for data dissemination.
In addition, the existing solutions for data dissemination do not effectively address broadcast storm and network partition problems simultaneously.
Designing efficient algorithms and protocols for data dissemination to mobile sinks is an interesting research and engineering issue, especially for large-scale wireless sensor networks (WSNs).
Because of the ubiquitousness of mobile devices nowadays, for example, traditional publish/subscribe is no longer an adequate model for data dissemination in mobile networks.
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Notably, the responses of the National Digital Stewardship Alliance, the Data-Preservation Alliance for the Social Sciences, Carnegie Mellon University, the University of California Libraries, and the International Consortium for Political and Social Research, reference the need for and successful exemplars of community-based standards for open data dissemination, discovery, and preservation.
Notably, the responses of the National Digital Stewardship Alliance, the Data-Preservation Alliance for the Social Sciences, Carnegie Mellon University, the University of California Libraries, and the International Consortium for Political and Social Research reference the need for and successful exemplars of community-based standards for open data dissemination, discovery, and preservation.
To address these issues, we propose a novel secure clustering for efficient data dissemination between different devices in VCPS environment.
This work presents PROC, a protocol designed for continuous data dissemination networks that interacts with the application to establish routes.
In: 16th International Conference on Data Engineering (ICDE 2000), February 29 - March 3, 2000, San Diego, CA. This paper introduces techniques for reducing data dissemination costs of query subscriptions.
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