A Period Adaptive Wakeup Technique based on Receive Prediction for WSN

Lee, Kyung-Hoon; Lee, Hak-Jai; Kim, Young‐Min

doi:10.13067/jkiecs.2015.10.11.1265

The Journal of the Korea institute of electronic communication

2015

DOI: 10.13067/jkiecs.2015.10.11.1265

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A Period Adaptive Wakeup Technique based on Receive Prediction for WSN

Kyung-Hoon Lee¹,

Hak-Jai Lee²,

Young‐Min Kim³

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2016

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Traffic Estimation Method for Visual Sensor Networks

Park¹

2016

The Journal of the Korea institute of electronic communication

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Recent development in visual sensor technologies has encouraged various researches on adding imaging capabilities to sensor networks. Video data are bigger than other sensor data, so it is essential to manage the amount of image data efficiently. In this paper, a new method of video traffic estimation is proposed for efficient traffic management of visual sensor networks. In the proposed method, a first order autoregressive model is used for modeling the traffic with the consideration of the characteristics of video traffics acquired from visual sensors, and a Kalman filter algorithm is used to estimate the amount of video traffics. The proposed method is computationally simple, so it is proper to be applied to sensor nodes. It is shown by experimental results that the proposed method is simple but estimate the video traffics exactly by less than 1% of the average.

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Traffic Estimation Method for Visual Sensor Networks

Park¹

2016

The Journal of the Korea institute of electronic communication

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show abstract

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A Period Adaptive Wakeup Technique based on Receive Prediction for WSN

Cited by 1 publication

References 2 publications

Traffic Estimation Method for Visual Sensor Networks

Traffic Estimation Method for Visual Sensor Networks

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