Derivation of the factors influencing the network performance of serverless smart exit sign systems based on wireless sensor networks

Hyunoh Kim, Ghang Lee, Jehyun Cho

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This paper presents the factors that could potentially affect the reliability of a serverless smart exit sign system, namely an evacuation guidance system based on a wireless sensor network (WSN) without a central server. Serverless smart exit sign system dynamically changes the directions of signs to indicate the shortest safe evacuation paths. Thus, the reliability of these systems is critical. Nevertheless, no research has been conducted to test the reliability of serverless smart exit sign systems. As a first step, we conducted a literature review to analyze the factors that could degrade the network performance of serverless smart exit sign systems. The identified factors were grouped into three categories: physical obstacles, environmental factors, and WSN properties. We plan to develop a prototype of a serverless smart exit sign system and then to conduct experiments to validate the influence of these factors on its network performance.

Original languageEnglish
Pages496-504
Number of pages9
DOIs
Publication statusPublished - 2016
Event33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 - Auburn, United States
Duration: 2016 Jul 182016 Jul 21

Other

Other33rd International Symposium on Automation and Robotics in Construction, ISARC 2016
CountryUnited States
CityAuburn
Period16/7/1816/7/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Human-Computer Interaction
  • Geotechnical Engineering and Engineering Geology

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    Kim, H., Lee, G., & Cho, J. (2016). Derivation of the factors influencing the network performance of serverless smart exit sign systems based on wireless sensor networks. 496-504. Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States. https://doi.org/10.22260/isarc2016/0060