Data filtering and distortion-prevention for power saving in Wireless Sensor Networks

Mingfu Li

doi:10.1109/ICCPS.2014.7062228

Data filtering and distortion-prevention for power saving in Wireless Sensor Networks

Mingfu Li^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Wireless Sensor Networks (WSNs) are used in several applications, such as environmental information gathering for smart home control, smart grid, and health-care systems. However, since wireless sensor nodes are usually battery powered, the battery lifetime of wireless sensor nodes becomes a key concern. Therefore, a data filtering and distortion-prevention algorithm for saving power of sensor nodes and preserving the data accuracy is proposed in this paper. Data filtering algorithm, which filters out some redundant data, is used to reduce the amount of data transmissions. Distortion-prevention algorithm, which is implemented by transmitting pilot terms periodically, is designed to prevent data from serious distortion under the environment with packet error or loss. Simulations on the environmental temperature gathering, transmission, and reconstruction were conducted to demonstrate the performance of the proposed data filtering and distortion-prevention algorithm. Numerical results show that using the proposed algorithm, the data distortion can be well-controlled and the data reduction ratio can be up to about 90% under the environment of a low degree of temperature variation.

Original language	English
Title of host publication	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	103-106
Number of pages	4
ISBN (Electronic)	9781479942466
DOIs	https://doi.org/10.1109/ICCPS.2014.7062228
State	Published - 17 03 2014
Event	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 - Beijing, China Duration: 05 12 2014 → 07 12 2014

Publication series

Name	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014

Conference

Conference	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014
Country/Territory	China
City	Beijing
Period	05/12/14 → 07/12/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Data filtering
data distortion
data reduction ratio
power saving
wireless sensor networks

Access to Document

10.1109/ICCPS.2014.7062228

Cite this

Li, M. (2014). Data filtering and distortion-prevention for power saving in Wireless Sensor Networks. In 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 (pp. 103-106). Article 7062228 (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPS.2014.7062228

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title = "Data filtering and distortion-prevention for power saving in Wireless Sensor Networks",

abstract = "Wireless Sensor Networks (WSNs) are used in several applications, such as environmental information gathering for smart home control, smart grid, and health-care systems. However, since wireless sensor nodes are usually battery powered, the battery lifetime of wireless sensor nodes becomes a key concern. Therefore, a data filtering and distortion-prevention algorithm for saving power of sensor nodes and preserving the data accuracy is proposed in this paper. Data filtering algorithm, which filters out some redundant data, is used to reduce the amount of data transmissions. Distortion-prevention algorithm, which is implemented by transmitting pilot terms periodically, is designed to prevent data from serious distortion under the environment with packet error or loss. Simulations on the environmental temperature gathering, transmission, and reconstruction were conducted to demonstrate the performance of the proposed data filtering and distortion-prevention algorithm. Numerical results show that using the proposed algorithm, the data distortion can be well-controlled and the data reduction ratio can be up to about 90% under the environment of a low degree of temperature variation.",

keywords = "Data filtering, data distortion, data reduction ratio, power saving, wireless sensor networks",

author = "Mingfu Li",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 ; Conference date: 05-12-2014 Through 07-12-2014",

year = "2014",

month = mar,

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doi = "10.1109/ICCPS.2014.7062228",

language = "英语",

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Li, M 2014, Data filtering and distortion-prevention for power saving in Wireless Sensor Networks. in 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014., 7062228, 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 103-106, 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014, Beijing, China, 05/12/14. https://doi.org/10.1109/ICCPS.2014.7062228

Data filtering and distortion-prevention for power saving in Wireless Sensor Networks. / Li, Mingfu.
2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 103-106 7062228 (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Wireless Sensor Networks (WSNs) are used in several applications, such as environmental information gathering for smart home control, smart grid, and health-care systems. However, since wireless sensor nodes are usually battery powered, the battery lifetime of wireless sensor nodes becomes a key concern. Therefore, a data filtering and distortion-prevention algorithm for saving power of sensor nodes and preserving the data accuracy is proposed in this paper. Data filtering algorithm, which filters out some redundant data, is used to reduce the amount of data transmissions. Distortion-prevention algorithm, which is implemented by transmitting pilot terms periodically, is designed to prevent data from serious distortion under the environment with packet error or loss. Simulations on the environmental temperature gathering, transmission, and reconstruction were conducted to demonstrate the performance of the proposed data filtering and distortion-prevention algorithm. Numerical results show that using the proposed algorithm, the data distortion can be well-controlled and the data reduction ratio can be up to about 90% under the environment of a low degree of temperature variation.

AB - Wireless Sensor Networks (WSNs) are used in several applications, such as environmental information gathering for smart home control, smart grid, and health-care systems. However, since wireless sensor nodes are usually battery powered, the battery lifetime of wireless sensor nodes becomes a key concern. Therefore, a data filtering and distortion-prevention algorithm for saving power of sensor nodes and preserving the data accuracy is proposed in this paper. Data filtering algorithm, which filters out some redundant data, is used to reduce the amount of data transmissions. Distortion-prevention algorithm, which is implemented by transmitting pilot terms periodically, is designed to prevent data from serious distortion under the environment with packet error or loss. Simulations on the environmental temperature gathering, transmission, and reconstruction were conducted to demonstrate the performance of the proposed data filtering and distortion-prevention algorithm. Numerical results show that using the proposed algorithm, the data distortion can be well-controlled and the data reduction ratio can be up to about 90% under the environment of a low degree of temperature variation.

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Li M. Data filtering and distortion-prevention for power saving in Wireless Sensor Networks. In 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 103-106. 7062228. (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014). doi: 10.1109/ICCPS.2014.7062228

Data filtering and distortion-prevention for power saving in Wireless Sensor Networks

Abstract

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Keywords

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