Document Type
Conference Paper
Publication Date
8-2017
Publication Source
2017 13th International Conference on Intelligent Environments
Abstract
Wireless sensor networks (WSNs) are strongly useful to monitor physical and environmental conditions to provide realtime information for improving environment quality. However, deploying a WSN in a physical environment faces several critical challenges such as high energy consumption, and data loss.In this work, we have proposed a reliable and efficient environmental monitoring system in ponds using wireless sensor network and cellular communication technologies. We have designed a hardware and software ecosystem that can limit the data loss yet save the energy consumption of nodes. A lightweight protocol acknowledges data transmission among the nodes. Data are transmitted to the cloud using a cellular protocol to reduce power consumption. Information in the cloud is mining so that realtime warning notifications can be sent to users. If the values are reaching the threshold, the server will send an alarm signal to the pond's owner phone, enable him to take corrective actions in a timely manner. Besides, the client application system also provides the feature to help the user to manage the trend of a physical environment such as shrimp ponds by viewing charts of the collected data by hours, days, months. We have deployed our system using IEEE 802.15.4 Standard, ZigBEE, KIT CC2530 of Texas Instrument, and tested our system with temperature and pH level sensors. Our experimental results demonstrated that the proposed system have a low rate of data loss and long energy life with low cost while it can provide real-time data for water quality monitoring.
Inclusive pages
84-91
ISBN/ISSN
9781538619209
Document Version
Postprint
Copyright
Copyright © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher
Institute of Electrical and Electronics Engineers
Peer Reviewed
yes
eCommons Citation
Nguyen, Dung and Phung, Phu Huu, "A Reliable and Efficient Wireless Sensor Network System for Water Quality Monitoring" (2017). Computer Science Faculty Publications. 136.
https://ecommons.udayton.edu/cps_fac_pub/136
Comments
The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. To read the version of record, use the DOI provided.
Permission documentation on file.