Design and implementation of a low-power wireless sensor network platform based on XBee

Fan Wu, Chang Wei Tan, Majid Sarvi, Christoph Rudiger, Mehmet Rasit Yuce

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

5 Citations (Scopus)

Abstract

Wireless sensor network (WSN) plays an important role in monitoring applications in many areas. This paper presents a WSN called EN-Nets which is based on a newly designed small-size and low-power sensor node (EN-Node) for monitoring real-time environmental conditions. Detailed design and implementation of the sensor node for sensing and communicating environmental parameters are described. A power management method utilizing transistor switch connections to sensors to control their operations was used to reduce the overall power consumption of each sensor node. The important testing results for the proposed sensor board are discussed, such as routing method, transmission packet delay and sensors' performance. A comprehensive and interactive graphical user interface program has been developed to allow users to interact with the sensor network system. A real-time deployment has been performed in a campus area and presented in here.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference (VTC Spring) - Proceedings
EditorsXiaojing Huang, Markus Mueck, Chintha Tellambura
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2590-2594
Number of pages5
ISBN (Electronic)9781509059324
ISBN (Print)9781509059331
DOIs
Publication statusPublished - 2017
EventIEEE Vehicular Technology Conference 2017 (Spring) - Sydney, Australia
Duration: 4 Jun 20177 Jun 2017
Conference number: 85th
https://ieeexplore.ieee.org/xpl/conhome/8106913/proceeding (Proceedings)

Conference

ConferenceIEEE Vehicular Technology Conference 2017 (Spring)
Abbreviated titleVTC Spring 2017
Country/TerritoryAustralia
CitySydney
Period4/06/177/06/17
Internet address

Keywords

  • Environmental Monitoring
  • Low Power Consumption
  • Wireless Sensor Network
  • XBee

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