REVIEW ON WIRELESS SENSOR NETWORK USING ZIGBEE FOR FOREST ENVIRONMENT MONITORING SYSTEM

DOI:

https://doi.org/10.17605/OSF.IO/E7WF6

Keywords:

fire , Zigbee, Arduino, Sensor Network , WSN.

Abstract

A wireless sensor network (WSN) consists of sensors which are densely distributed to watch physical or environmental conditions, like temperature, sound, pressure, etc. The sensor data is transmitted to network coordinator which is heart of the wireless personal area network. within the modern scenario wireless networks contains sensors also as actuators. ZigBee is newly developed technology that works on IEEE standard 802.15.4, which may be utilized in the wireless sensor network (WSN). The low data rates, low power consumption, low cost are main features of ZigBee. WSN consists of ZigBee coordinator (network coordinator), ZigBee router and ZigBee end device. The sensor nodes information within the network are going to be sent to the coordinator, the coordinator collects sensor data, stores the info in memory, process the info , and route the info to appropriate node.

Zigbee may be a low-rate, low-cost and low-power quite transient wireless network communication protocol. Compared with other wireless methodologies, Zigbee has unique advantages of safe and reliable data transmission, a simple and versatile network configuration, low equipment costs and long-standing batteries. By applying a wireless sensor network supported Zigbee to a fire supervising system, information like temperature and humidity at any a part of the forest covered by the network could easily be collected, addressed and examined at any time. additionally , the system are often extended significantly

Downloads

Download data is not yet available.

References

Simin Long ,Feng Miao Research on ZigBee wireless communication technology and its application 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC 2019)

Vaneet Singhi, I. P. Singh, s. K. Sud, Environment monitoring and device control using ARM based Embedded Controlled Sensor Network

M. Angeles Serna and et. al. Distributed Forest Fire Monitoring Using Wireless Sensor Networks. In International Journal of Distributed Sensor Networks. Hindawi Publishing Corporation. Article ID; 964564. 2015.

Teng Ma and et. al. Forest Fire Monitoring Based on Mixed Wireless Sensor Networks. In International Journal of Smart Home. Vol. 9 Issue. 3 Pp. 169-184, 2015.

Antonio Molina-Pico, David Cuesta-Frau, Alvaro Araujo, Javier Alejandre, and Alba Rozas, Hindawi Publishing Corporation Journal of Sensors Volume 2016, Article ID 8325845,

Shalli Rani and et. al. A novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks. In Journal of Sensors. ISSN 1424-8220, 2015.

Priyanka Tambat, Arati Dixit, Energy Efficient Scheme for Wireless Sensor Networks. In International Journal on Recent and Innovation Trends in Computing and Communication. Volume 3 Issue 2. ISSN 2321-8169. Pp: 646-653. Feb. 2015.

Prachi Sharma. Wireless Sensor Networks for Environmental Monitoring. In International Journal of Scientific Research Engineering & Technology (IJSRET) IEERET-2014 Conference Proceeding, 3-4 November, 2014.

Kechar Bouabdellah and et. al. Using Wireless Sensor Networks for Reliable forest fires detection. In the 3rd International Conference on sustainable energy Information Technology. Publisher M. Hefeeda and M. Bagheri, “Forest fire modeling and earlydetection using wireless sensor networks,” Ad-Hoc and Sensor Wireless Networks, vol. 7, no. 3-4, pp. 169–224, 2009.

Z. Li, S. Nadon, and J. Cihlar, “Satellite-based detection of Canadian Boreal forest fires: development and application of the algorithm,” International Journal of Remote Sensing, vol. 21, no.16, pp. 3057–3069, 2000.

J. Zhang,W. Li,N.Han, and J. Kan, “Forest fire detection systembased on a ZigBeewireless sensor network,” Frontiers of Forestry in China, vol. 3, no. 3, pp. 369–374, 2008.

Y. G. Sahin and T. Ince, “Early forest fire detection using radioacoustic sounding system,” Sensors, vol. 9, no. 3, pp. 1485–1498,2009.

J. Lloret, M. Garcia, D. Bri, and S. Sendra, “A wireless sensor network deployment for rural and forest fire detection and verification,” Sensors, vol. 9, no. 11, pp. 8722–8747, 2009.

U. Ganesh, M. Anand, S. Arun, M. Dinesh, P. Gunaseelan, and R. Karthik, “Forest fire detection using optimized solar powered Zigbee wireless sensor networks,” International Journal of Scientific and Engineering Research, vol. 4, pp. 586–596, 2013.

Tillett J, Yang S J, Rao R, Sahin F (2004). Optimal topologies for wireless sensor networks. In: Proceedings of SPIE–the International Society for Optical Engineering, Unmanned/Unattended Sensors and Sensor Networks. London: SPIE, 192–203

Yu L Y, Wang N, Meng X Q (2005). Real-time forest fire detection with wireless sensor networks. In: Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing. Wuhan:WCNM, 1214–1217

Zenon C, Fady A (2005). Wireless sensor network based system for fire endangered areas. In: Proceedings of the 3rd International Conference on Information Technology and Applications.Sydney: ICITA, 203–207

Zhang G (2004). Study on forest fire dynamic monitoring in Guangzhou City. Dissertation for the Doctoral Degree Zhuzhou: Central South Forestry University (in Chinese)

V. Mhatre and C. Rosenberg, “Design guidelines for wireless sensor networks: communication, clustering and aggregation,” Ad Hoc Networks, vol. 2,no. 1, pp. 45-63, Jan. 2004.

A. M. Adnan, “Data Gathering In Wireless Sensor Network For Environmental Monitoring,” 2010.

W.-S. Jang, W. M. Healy, and M. J. Skibniewski, “Wireless sensor networks as part of a web-based building environmental monitoring system,”Automation in Construction, vol. 17, no. 6, pp. 729-736, Aug. 2008.

R. Mittal and M. P. S. Bhatia, “Wireless Sensor Networks for Monitoring the Environmental Activities,” Analysis, 2010.

Downloads

Published

2021-04-10

How to Cite

[1]
“REVIEW ON WIRELESS SENSOR NETWORK USING ZIGBEE FOR FOREST ENVIRONMENT MONITORING SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 6, no. ICMRD21, p. 7, Apr. 2021.