LEGS: A Load-balancing Emergency Guiding System based on wireless sensor networks

Lien Wu Chen*, Jen Hsiang Cheng, Yu-Chee Tseng, Lun Chia Kuo, Jen Chieh Chiang, Wan Jung Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

LEGS is a Load-balancing Emergency Guiding System using a wireless sensor network. In LEGS, we design a load-balancing guiding scheme and derive an analytical model in order to reduce the total evacuation time of people. The proposed guiding scheme can provide the fastest path to an exit based on the evacuation time estimated by the derived analytical model. To the best of our knowledge, LEGS is the first system which takes the corridor capacity and length, exit capacity, and people distribution into consideration for analyzing evacuation time and planning escape paths. Through LEGS, the congestion of certain corridors and exits can be released to significantly reduce the evacuation time of people. Analytical and simulation results show that LEGS outperforms existing works, which can prevent people from following the local optimal guiding direction with the longer evacuation time in total. LEGS thus demonstrates an efficient emergency guiding system for public safety.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Pages486-488
Number of pages3
DOIs
StatePublished - 1 Jun 2012
Event2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012 - Lugano, Switzerland
Duration: 19 Mar 201223 Mar 2012

Publication series

Name2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012

Conference

Conference2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
CountrySwitzerland
CityLugano
Period19/03/1223/03/12

Keywords

  • Home Security
  • Navigation
  • Pervasive Computing
  • Wireless Communication
  • Wireless Sensor Network

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