期刊
ACM TRANSACTIONS ON SENSOR NETWORKS
卷 4, 期 4, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/1387663.1387670
关键词
design; performance; sensor networks; correlated data gathering; analytical modeling
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. The recent literature has examined a variety of schemes that achieve greater data aggregation by routing data with regard to the underlying spatial correlation. A well known conclusion from these papers is that the nature of optimal routing with compression depends on the correlation level. In this article we show the existence of a simple, practical, and static correlation-unaware clustering scheme that satisfies a min-max near-optimality condition. The implication for system design is that a static correlation-unaware scheme can perform as well as sophisticated adaptive schemes for joint routing and compression.
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