A perimeter intrusion detection system using dual-mode wireless sensor networks

  • Liu Yuheng*
  • , Li Chao
  • , He Yang
  • , Wu Jing
  • , Xiong Zhang
  • *Corresponding author for this work

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

Abstract

In recent years, wireless technologies have been employed by Perimeter Intrusion Detection Systems (PIDS) to reduce the cost of wiring, especially for some secure sites which are not wiring-friendly, However, the PIDS based on state-of-art wireless media such as WLAN, ZigBee, or UWB, suffers from remote distance and noisy wireless links which are easy to fail due to obstacles, signal shadowing and fading. In this paper we propose a PIDS using GPRS and CDMA dual-mode wireless sensor networks (DM-WSNs) to deliver an optimal data transmission service. Moreover. Auto Shutdown mechanism is proposed to address the energy conservation for battery powered sensor devices. We deploy the DW-WSNs in the PIDS of an airport in China, to safeguard the parking apron against illegal intrusion. Practice experience indicates that the DM-WSNs can achieve a better network quality and fully satisfy the first-response requirement of airport security.

Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Communications and Networking in China, ChinaCom 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages861-865
Number of pages5
ISBN (Print)9781424410095
DOIs
StatePublished - 2007
Event2007 2nd International Conference on Communications and Networking in China, ChinaCom 2007 - Shanghai, China
Duration: 22 Aug 200724 Aug 2007

Publication series

NameProceedings of the Second International Conference on Communications and Networking in China, ChinaCom 2007

Conference

Conference2007 2nd International Conference on Communications and Networking in China, ChinaCom 2007
Country/TerritoryChina
CityShanghai
Period22/08/0724/08/07

Keywords

  • Dual-mode
  • PIDS
  • Wireless sensor networks

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