Abstract
Many works are being done and continued in the area of agriculture using wireless sensor network (WSN) to detect environmental monitoring, humidity monitoring, soil moisture, air quality (pollution) monitoring, insect monitoring using WSN. It is a valuable decision control and support tool for farmers but unfortunately in developing region where farmers are mostly using pest control legacy system, WSN technology will help them to use it on ad-hoc basis only when needed based on the decision by the sensor. WSN is a specific purpose computer containing hardware whose main components are memory, CPU, IO, registers, data and address bus, timer, sensor, computing logic and decision-making logic. After analyzing the image, WSN can decide to take appropriate action. It means WSN contains both control plane (signaling) and data plane (forwarding) coupled together. In this paper, we are proposing a virtual WSN (vWSN) which is based on virtualization and cloud computing technology, centrally managed device having flexible and configurable parameters with less maintenance and operational cost.
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References
T. Jha, R. Hussain, wsn controlled insects monitoring: identification of onion thrips. IJCAR 6, 5257–5260 (2014)
Dr. R. Hussain, G.C. D’Mello, in WSN Controlled Insect Monitoring
O. Lopez, M.M. Rach, H. Migallon, M.P. Malaumbres, A. Bonastre, J.J. Serrano, Monitoring pest insect traps by means of low-power image sensor technologies. Sensors 12, 15801–15819 (2012)
N. Srivastav, G. Chopra, P. Jain, B. Khatter, Pest monitor and control system using WSN with special reference to acoustic device. ICEEE, 2013, Università di Genova, Facoltà di Economia via Francesco Vivaldi, 5 Genova Italy, January 16–18 2013 Giuseppe Cavaliere, University of Bologna (2013)
R. Hussain, J.L. Sahgal, P. Mishra, B. Sharma, Application of WSN in rural development, agriculture water management. IJSCE, 2, 68–72 (2012)
R.P. Goldberg, Architecture of virtual machines, in Proceedings of the Workshop on Virtual Computer Systems (ACM Press, New York, NY, USA, 1973), Article, 74–112
M. Brown, VMware vCenter Serverâ„¢ 6.0 Deployment Guide VMware, Inc. 3401 Hillview Avenue Palo Alto CA 94304 USA Tel 877-486-9273 Fax 650-427-5001 www.vmware.com (2015)
M. Durairaj, P. Kannan, A study on virtualization techniques and challenges in cloud computing. IJSTR 3, 147–151 (2014)
G.H.E.L. de Lima, L.C. e Silva, P.F.R. Neto, WSN as a tool for supporting agriculture in the precision irrigation, in ICNS, 2010, 6th International conference of Networking and Services, Cancun, Mexico, 7–13 Mar 2010
Y. Liu, J. Zhang, in Towards Continuous Surveillance of Fruit Flies Using Sensor Networks and Machine Vision. Published by the department of networking and mobile computing Microsoft Qut Eresearch Centre in IEEE (2009)
B. Alka, G.P. Munkvold, Relationships of environmental and cultural factors with severity of gray leaf spot in maize. Plant Dis. 86(10), 1127–1133 (2002)
X. Wu, S. Bao, Buildup and application of multi-factor spatial interpolation model in the monitoring and warning system for crop diseases and insect pests. Trans. Chin. Soc. Agric. Eng. 23(10), 162–166 (2007)
R.D. Liu, N. Zhang, The monitoring and forecasting warning system of the meteorological disaster based on real-time data-driven in Yiyang. Anhui Agric. Sci. 38(2), 788–789 (2010)
T. Zhong, W. Liu, C. Huang, Accelerate the construction of digital monitoring and early warning to provide support for the construction of a modern plant protection. China Plant Protect. Herald (12), 05–03 (2012)
X. Hu, Y. Li, Research of the agricultural disaster monitoring, early warning and prevention. Mod. Agric. Sci. Technol. 4, 25–37 (2012)
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The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Research Group Project under grant number R.G.P.1/166/40.
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Hussain, M.R., Naim, A., Khaleel, M.A. (2020). Implementation of Wireless Sensor Network Using Virtual Machine (VM) for Insect Monitoring. In: Saini, H.S., Singh, R.K., Tariq Beg, M., Sahambi, J.S. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3172-9_8
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