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Wireless Sensor Networks (WSNs) are mostly deployed to detect events (i.e., objects or physical changes) at a high/low frequency sampling that is usually adapted by a central unit (or a sink), thus requiring additional resource usage in WSNs. However, the problem of autonomous adaptive sampling regarding the detection of events has not been studied before. In this paper, the authors propose a novel scheme, termed "Event-sensitive adaptive sampling and low-cost monitoring (e-Sampling)" by addressing the problem in two stages, which lead to reduced resource usage (e.g., energy, radio bandwidth) in WSNs.
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