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Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks: A Design Framework

Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks: A Design Framework

Hadi Alasti
Copyright: © 2011 |Pages: 22
ISBN13: 9781609606114|ISBN10: 1609606116|EISBN13: 9781609606121
DOI: 10.4018/978-1-60960-611-4.ch009
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MLA

Alasti, Hadi. "Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks: A Design Framework." Pervasive Computing and Communications Design and Deployment: Technologies, Trends and Applications, edited by Apostolos Malatras, IGI Global, 2011, pp. 207-228. https://doi.org/10.4018/978-1-60960-611-4.ch009

APA

Alasti, H. (2011). Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks: A Design Framework. In A. Malatras (Ed.), Pervasive Computing and Communications Design and Deployment: Technologies, Trends and Applications (pp. 207-228). IGI Global. https://doi.org/10.4018/978-1-60960-611-4.ch009

Chicago

Alasti, Hadi. "Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks: A Design Framework." In Pervasive Computing and Communications Design and Deployment: Technologies, Trends and Applications, edited by Apostolos Malatras, 207-228. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-611-4.ch009

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Abstract

In periodic sampling of the bandlimited signals, many of the consecutive samples are very similar and sometimes the signal remains unchanged over periods of time. These samples can be interpreted as redundant. For this, transmission of all of the periodic samples from all of the sensors in wireless sensor networks is wasteful. The problem becomes more challenging in large scale wireless sensor networks. Level crossing sampling in time is proposed for energy conservation in real-life application of wireless sensor networks to increase the network lifetime by avoiding the transmission of redundant samples. In this chapter, a design framework is discussed for application of level crossing sampling in wireless sensor networks. The performance of level crossing sampling for various level definition schemes are evaluated using computer simulations and experiments with real-life wireless sensors.

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