Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6888793 | Pervasive and Mobile Computing | 2014 | 14 Pages |
Abstract
Energy efficiency and high data relevancy are crucial for wireless sensor network applications; challenges usually tackled by network clustering or event-driven techniques focused only on the performance of clusterheads or too restricted to specific applications. In contrast, this paper formalizes the combined NP-Complete problem of event-driven network clustering. We hereby propose AWARE, an innovative distributed activity-aware and energy-efficient technique for the maintenance of network's communication structure. AWARE groups active nodes together, thus making clusterheads report efficiently with only relevant data. On top of several theoretical proves, extensive performance studies validate AWARE's effectiveness and efficiency.
Related Topics
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Authors
IƱigo Urteaga, Na Yu, Nicholas Hubbell, Qi Han,