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• W2130484622 abstract "This paper develops a technique for quantifying and minimizing the energy required to gather data from all sensors in a multi-hop wireless sensor network The technique combines analytical results from stochastic geometry with a distributed, randomized algorithm for generating clusters. The minimum communication energy achieved by this approach is significantly lower than the energy costs incurred in non-clustered networks and in clustered networks produced by such algorithms as the max-min d-cluster algorithm." @default.
• W2130484622 created "2016-06-24" @default.
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• W2130484622 date "2004-01-24" @default.
• W2130484622 modified "2023-09-26" @default.
• W2130484622 title "Minimizing communication costs in hierarchically clustered networks of wireless sensors" @default.
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• W2130484622 doi "https://doi.org/10.1109/wcnc.2003.1200556" @default.
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