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Wireless Networks

, Volume 25, Issue 7, pp 4193–4213 | Cite as

RECOD: reliable detection protocol for large-scale and dynamic continuous objects in wireless sensor networks

  • Yongbin Yim
  • Soochang Park
  • Euisin LeeEmail author
  • Ki-Dong Nam
  • Cheonyong Kim
  • Sang-Ha Kim
Article
  • 63 Downloads

Abstract

Whether individual objects such as enemy tanks or intruders have been reliably detected typically depends on the number of data reports successfully delivered to a sink node from the sensor nodes surrounding the object. When the number of data reports exceeds a required threshold, the sink recognizes the object that is detected by sensor nodes. Thus, previous studies exploited this framework for reliable detection as event reliability for individual objects, and proposed event-to-sink reliable-transport mechanisms that can reach a required threshold. Recently, in wireless sensor networks, research has focused on coverage detection for large-scale phenomena such as biochemical material and wild fires. Such phenomena are known as continuous objects because they generally cover wide areas and frequently change their shape as a result of wind or geographical features. Since continuous objects are large-scale and alterable, they present new challenges for the event reliability. In this paper, we first define new criteria for measuring the event reliability of large-scale phenomena. Then, we propose a novel event-to-sink transport protocol that is reliable, even when excessive data is generated from many sensor nodes detecting these phenomena. Analysis and simulation results demonstrate the event reliability of our protocol.

Keywords

Wireless sensor networks Continuous objects Event reliability Reliable transport 

Notes

Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2018R1D1A3B07042838).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer EngineeringChungnam National UniversityDaejeonKorea
  2. 2.Department of Computer EngineeringChungbuk National UniversityCheongjuKorea
  3. 3.School of Information and Communication EngineeringChungbuk National UniversityCheongjuKorea
  4. 4.Electronics and Telecommunications Research Institute (ETRI)DaejeonKorea
  5. 5.Department of Electrical and Computer EngineeringUniversity of British ColumbiaVancouverCanada

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