A new energy reduction method based on fire probability threshold switch for WSN

Yan Qiang, Xiaomin Chang, Juanjuan Zhao, Xiaolong Zhang, Xiaofei Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

To solve the energy limitation problems of wireless sensor networks used in forest fire detection applications, a new algorithm based on a fire probability threshold switch is proposed. The method uses the weighted average method to obtain the weights of each sensor node, and then calculates the fire probability for each node based on a logistic regression to obtain the fire probability threshold, based on this, the numbers of sensor nodes sending data to the sink node are obtained. The proposed algorithm is applied to detection of a wood fire in a simulated situation. The results show that the proposed method reduced the transmission energy used by 34%. These results indicate that the method can reduce the unnecessary energy usage effectively while guaranteeing the reliability of the transmission data.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 10th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages30-37
Number of pages8
ISBN (Electronic)9781479973941
DOIs
StatePublished - Feb 27 2014
Event10th IEEE International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014 - Maui, United States
Duration: Dec 19 2014Dec 21 2014

Publication series

NameProceedings - 2014 10th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014

Other

Other10th IEEE International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014
CountryUnited States
CityMaui
Period12/19/1412/21/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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