@inproceedings{86846f94cadf4a0eac5795f917ff84c0,
title = "LEGS: A Load-balancing Emergency Guiding System based on wireless sensor networks",
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.",
keywords = "Home Security, Navigation, Pervasive Computing, Wireless Communication, Wireless Sensor Network",
author = "Chen, {Lien Wu} and Cheng, {Jen Hsiang} and Yu-Chee Tseng and Kuo, {Lun Chia} and Chiang, {Jen Chieh} and Lin, {Wan Jung}",
year = "2012",
doi = "10.1109/PerComW.2012.6197542",
language = "English",
isbn = "9781467309073",
series = "2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012",
pages = "486--488",
booktitle = "2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012",
note = "2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012 ; Conference date: 19-03-2012 Through 23-03-2012",
}