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2016 | 41 | 1-8
Article title

Challenges in Integrating Wireless Sensor Network and Internet of Things for Environmental Monitoring

Content
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Languages of publication
EN
Abstracts
EN
Hardware technology developments and wireless communications enables the development of wireless sensor networks (WSNs). WSN will need to be connected to the Internet due to its variety of applications and their importance. This paper discusses the challenges in integrating WSN and IoT (Internet of Things). The best ways of integrating WSN and IoT for environmental monitoring are analyzed. The sensor node is developed to monitor environmental parameters such as temperature and humidity. The sensor SHT75 to sense the temperature and humidity of the environment, XBeePro to communicate with gateway, LCD to display information are interfaced with MSP430 Microcontroller. The microcontroller is used for processing, controlling and communicating the information. The sensor nodes are deployed to measure the parameter in the target area. The information is communicated to the world of Internet in one of the best integrating ways discussed in the paper.
Year
Volume
41
Pages
1-8
Physical description
Contributors
  • Department of Electronics and Instrumentation, Bharathiar University, Coimbatore - 641046, Tamil Nadu, India
author
  • Department of Electronics and Instrumentation, Bharathiar University, Coimbatore - 641046, Tamil Nadu, India
References
  • [1] Sudipta Bhattacharjee et al., Wireless sensor network-based fire detection, alarming, monitoring and prevention system for Bord-and-Pillar coal mines. The Journal of Systems and Software, 85 (2012) 571-581
  • [2] Daniela Ballari et al., A mobility constraint model to infer sensor behaviour in forest fire risk monitoring. The Journal Computers, Environment and Urban Systems, 36 (2012) 81-95.
  • [3] Junguo Zhang et al., Forest fire detection system based on a ZigBee wireless sensor network. Journal front for China, 3 (2008) 369-374
  • [4] Cetin Elmas and Yusuf Sonmez, Data fusion framework with novel hybrid algorithm for multi-agent Decision Support System for Forest Fire. Expert Systems with Applications, 38 (2011) 9225-9236
  • [5] Andrey Somov et al., Deployment and evaluation of a wireless sensor network for methane leak detection. Sensors and Actuators, 202 (2013) 217-225
  • [6] Zujue Chen et al., Design of wireless sensor network node for carbon monoxide Monitoring. Telecommunication Systems, 53 (2013) 7-53
  • [7] Hakilo Sabit et al., Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling. Procedia Computer Science, 5 (2011) 106-114
  • [8] Andrey Somov et al., Deployment and evaluation of a wireless sensor network for methaneleak detection. Sensors and Actuators, 202 (2013) 217-225
  • [9] Yeon-sup Lim et al., A Fire Detection and Rescue Support Framework with Wireless Sensor Networks. International Conference on Convergence Information Technology, (2007) 135-138
  • [10] Daniela Ballari et al., A mobility constraint model to infer sensor behaviour in forest fire risk monitoring. The Journal of Computers, Environment and Urban Systems, 36 (2012) 81-95
Document Type
article
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-dde93a17-efdf-4912-981d-e0bb1565ea3d
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