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Reliable Bulk Data Dissemination in Sensor Networks

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dc.contributor.author Huang, Leijun
dc.creator Huang, Leijun
dc.date.accessioned 2007-12-18T19:10:49Z
dc.date.available 2007-12-18T19:10:49Z
dc.date.issued 2007-12-18T19:10:49Z
dc.identifier.uri https://hdl.handle.net/1920/2942
dc.description.abstract A wireless sensor network consists of a large number of resource-constrained sensor nodes that are self-organized into a multi-hop network and cooperate on a single task. In many situations, sensor networks need to run for a long time once deployed. When the environment changes during their lifetime, updating the code image or application data at the node for a new task becomes necessary, thus making data dissemination a critical issue where a large data object needs to be reliably propagated to all of the nodes in a network. While most of the current sensor nodes are equipped with a multiple-channel radio, the existing data dissemination approaches such as Deluge [1] do not take advantage of multiple channels. Moreover, these approaches mostly focus on the object delivery latency, while energy efficiency is also very important due to the resource constraints of the sensor nodes. This dissertation proposes three novel protocols for reliable bulk data dissemination, named McTorrent, CORD and McCORD, that focus on both object delivery latency and energy efficiency. These protocols use multiple channels, or a core-based two-phase approach, or both techniques to reduce object delivery latency and energy consumption at each node. The results from experiments on both indoor and outdoor testbeds and extensive simulations in various scenarios show that these protocols significantly reduce the latency and/or energy consumption, compared to the existing approaches.
dc.language.iso en_US en
dc.subject sensor networks en_US
dc.subject reliable bulk data dissemination en_US
dc.subject energy efficiency en_US
dc.subject low latency en_US
dc.title Reliable Bulk Data Dissemination in Sensor Networks en
dc.type Dissertation en
thesis.degree.name Doctor of Philosophy in Computer Science en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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