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Title: Energy and bandwidth-efficient wireless sensor networks for monitoring high-frequency events
Authors: Bhuiyan, MZA
Wang, G
Cao, J 
Wu, J
Keywords: Decentralized signal processing
Event monitoring
Wireless sensor networks
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE International Conference on Sensing, Communications and Networking, SECON 2013, 2013, 6644978, p. 194-202 How to cite?
Abstract: 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, we 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. First, e-Sampling provides a solution to adaptive sampling that automatically switches between high- and low-frequency intervals to reduce the resource usage while minimizing false negative detections. Second, by analyzing the frequency content, e-Sampling presents an event identification algorithm suitable for decentralized computing in resource-constrained WSNs. In the absence of an event, 'uninteresting' data is not transmitted to the sink. We apply e-Sampling to structural health monitoring (SHM), which is a typical application of high frequency events. Evaluation via both simulations and experiments validates the advantages of e-Sampling in low-cost event monitoring, and in expanding the capacity of WSNs for high data rate applications.
Description: 2013 10th Annual IEEE Communications Society Conference on Sensing and Communication in Wireless Networks, SECON 2013, New Orleans, LA, 24-27 June 2013
ISBN: 9781479902309
DOI: 10.1109/SAHCN.2013.6644978
Appears in Collections:Conference Paper

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