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НИЛ АСЭМ Научно - исследовательская лаборатория автоматизированных систем экологического мониторинга

Экологический мониторинг

Подборка научных статей

by Admin » Thu Jul 12, 2018 12:35 pm

21. Karthik Kumar R., Chandra Mohan M., Vengateshapandiyan S., Mathan Kumar M., Eswaran R. Solar based advanced water quality monitoring system using wireless sensor network // International Journal of Science, Engineering and Technology Research (IJSETR). – 2014. V.3. Issue 3. P.385-389.

Abstract: Underwater wireless sensor network is the simple and basic way to monitor the quality of water using wireless sensor network (WSN) technology powered by solar panel. To monitor the quality of water over different sites as a real time application, a base station and distributed sensor nodes are suggested. A WSN technology like zigbee is used to connect the nodes and base station. To design and implement this model powered by solar cell and WSN technology is a challenging work. Through WSN various data collected by various sensors at the node side such as pH, Turbidity and oxygen level are sent to base station. At the base station collected data is displayed as visual and is analyzed using different simulation tools. The advantage in this system is low power consumption, no carbon emission, more flexible to deploy at remote site and so on.

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References
[1] “Web Based Water Quality Monitoring with Sensor Network: Employing ZigBee and WiMax Technologies” by Steven Silva, Hoang N ghia Nguyen , Valentina Tiporlini and Kamal Alameh, 978-1-4577-1169-5/11/$26.00 ©2011 IEEE

[2] Jiang Peng, Huang Qingbo, Wang Jianzhong Research on Wireless Sensor Networks Routing Protocol for Water EnvironmentMonitoring 0-7695-2616-0/06 2006 IEEE

[3] F.Akyildiz lan, Su Weilian, Sankarasubramaniam Yogesh etc. A Survey on Sensor Networks 0163-6804/02 2002 IEEE.

[4] Tuan Le Dinh; Wen Hu; Sikka, P.; Corke, P.; Overs, L.; Brosnan, S,“Design and Deployment of a Remote Robust Sensor Network: Experiences from an Outdoor Water Quality Monitoring Network,”Local Computer Networks, 32nd IEEE Conference on, pp 799-806,2007

[5] F. Akyildiz, W. Su, Y. Sankarasubramaniam and E.Cayirci,“Wireless sensor networks: a survey,” Computer Networks, Volume38, Issue 4, pp 393-422, 2002.

[6] Tuan Le Dinh; Wen Hu; Sikka, P.; Corke, P.; Overs, L.; Brosnan,S,“Design and Deployment of a Remote Robust Sensor Network:Experiences from an Outdoor Water Quality Monitoring Network,”Local Computer Networks, 32nd IEEE Conference on, pp 799-806,2007.
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by Admin » Thu Jul 12, 2018 1:10 pm

22. Muhammad R., Ranjbar and Aisha H. Abdalla. Low-cost, Real-Time, Autonomous Water Quality Testing and Notification System // International Journal of Computer Science and Network Security. – 2017. V.17. No.5. P.277-282.

Abstract: Input Traditionally, water quality was tested by collecting the samples of water and experimentally analyzing it in the laboratories. However, in today’s world, where time is the scarcest resource available and industrialization and economy is growing rapidly, the traditional method of water quality testing is not applicable anymore. To tackle the issue, several electronic (microcontroller and sensor based) water quality monitoring systems were developed in the past decade. However, as most of these systems were studied, besides their strengths, each of them have their own limitations to be taken into consideration. Therefore, an automatic, remote, portable, real time, and low cost water quality monitoring system has been developed. This system consists of a self-made Arduino microcontroller, multiple sensors, GSM module, LCD display screen, and alarm system. The water quality data is read from the physical world through the water quality testing sensors and sent to microcontroller. The data is then analyzed by the microcontroller and the result is displayed on the LCD screen on the device itself. Another copy of the sensor readings is sent remotely to the water quality monitoring user’s mobile phone in the form of SMS. When an abnormal water quality parameter is detected by any sensor, the alarm system will turn on the respective red LED for that parameter and the buzzer will give warning sound. At the same time, the abnormality of the water parameter is reported to the user through SMS. The system has been designed so that it can be used for wide applications and by all kinds of users.

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References
[1] M. K. Khurana, R. Singh, A. Prakash, R. Chhabra, “An IoT Based Water Health Monitoring System”, International Journal of Computer Technology and Applications (IJCTA), 9(21), pp. 07-13, 2016.
[2] M. Deqing, Z. Ying, C. Shangsong, “Automatic Measurement and Reporting System of Water Quality Based on GSM”, International Conference on Intelligent System Design and Engineering 2012.
[3] N. Vijayakumar, R. Ramya, “The Real Time Monitoring of Water Quality inIoT Environment”, International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015.
[4] A.S. Rao, S. Marshall, J. Gubbi, M. Palaniswami, R. Sinnott, V. Pettigrove, “Design of Low-cost Autonomous Water Quality Monitoring System”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013.
[5] Pradeepkumar M, Monisha J, Pravenisha R, Praiselin V, Suganya Devi K, “The Real Time Monitoring of Water Quality in IoT Environment”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 3, March 2016.
[6] L. Hongpin1, L. Guanglin, P. Weifeng, S. Jie, B. Qiuwei, “Real-time remote monitoring system for aquaculture water quality”, International Journal of Agricultural and Biological Engineering (Int J Agric & Biol Eng), Vol. 8 No.6, pp. 136-143, December, 2015.
[7] “MyDuino”, Arduino kits, Available online: http://www.myduino.com/index.php?route= ... uct_id=490 Accessed on February 15, 2017.
[8] “Arduino”, Project hub, Available online: https://create.arduino.cc/projecthub/ea ... tification, Accessed on March 4, 2017.
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by Admin » Thu Aug 16, 2018 8:08 pm

23. Lambebo A., Haghani S. A Wireless Sensor Network for Environmental Monitoring of Greenhouse Gases // ASEE. – 2014. Zone I Conference, April 3-5.

Abstract:The rapid development and miniaturization of sensor devices, and the recent advances in wireless communication and networking technologies, are allowing scientists and engineers to develop networks of small sensors that can be used to continuously monitor the health and stability of the environment we live in. Wireless Sensor Networks (WSNs) consist of a number of spatially distributed sensors with computing, processing and communication capabilities that can continuously sense and transmit data to a base station, where data can be processed and observed in real time. This project provides a detailed study and implementation of a WSN for real time and continuous environmental monitoring of greenhouse gases. A tree-topology WSN consisting of two sensor nodes and a base station was successfully built and tested using open source and inexpensive hardware to measure the concentration level of several greenhouse gases. The sensor nodes consisted of carbon monoxide sensor, a carbon dioxide sensor, a methane sensor, a temperature sensor, a GPS module and a ZigBee wireless transmitter packaged together. The GPS module was added to give information about the location of the sensors. The base stations consisted of an Arduino Uno micro-controller and a ZigBee receiver that can collect data from the various sensors and submit to a sink base station where data can be stored and processed. A website was developed where the captured data can be continuously monitored and displayed in real time.

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References
[1] J. Yang and X. Li, “Design and implementation of low-power wireless
sensor networks for environmental monitoring”, Proc. of IEEE
International Conference on Wireless Communications, Networking and
Information Security, Beijing, China, June 2010, pp. 593-597.
[2] N. Giannopoulos, C. Giannopoulos, A. Kameas “Design Guidelines for
Building a Wireless Sensor Network for Environmental Monitoring”
Proc. of 2009 Panhellenic Conference on Informatics, Corfu Greek,
September 2009, pp. 148-152.
[3] F. Cuomo S. Della Luna, U. Monaco, U, and T. Melodia “Routing in
ZigBee: Benefits from Exploiting the IEEE 802.15.4 Association Tree”,
Proc. of IEEE International Conference on Communications, Glasgow,
Scotland, June 2007, pp. 3271-3276.
[4] K. Lu, Y. Qian, D. Rodriguez, W. Rivera, and M. Rodriguez “Wireless
Sensor Networks for Environmental Monitoring Applications: A Design
Framework”, in Proc. IEEE Global Communications Conference,
Washington, DC, November 2007, pp. 1108-1112.
[5] B. Pekoslawski, et. al. "Autonomous wireless sensor network for
greenhouse environmental conditions monitoring", Proc. of the 20th
International Conference on Mixed Design of Integrated Circuits and
Systems, Gydnia, Poland, June 2013, pp. 503-507.
[6] Guillermo Barrenetxea, Franc¸ois Ingelrest, Gunnar Schaefer, and
Martin Vetterli. “Wirless Sensor Network for Environmantal Monitoring
: The SesnsorScope Experience”, Proc. of 2008 International Zurich
Seminar on Communications, Zurich, Switzerland, March 2009, pp. 98-
101.
[7] I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless
sensor networks: A survey,” Computer Networks, vol. 38, pp. 393–422,
2002.
[8] ZigBee Specification, ZigBee Alliance Std. 2005 [online]. Available at :
http://www.zigbee.com
[9] Mittal. Ruchi and Bhatia. M.P.S “Wireless Sensor Networks for
Monitoring the Environmental Activities” Computational Intelligence
and Computing Research (ICCIC), IEEE International Conference,
Coimbatore, India, December 2010, pp.1-5.
[10] Jelicic. Vana, Razov Tomislav. Oletic, Kur. Marijan, and Bilas Vedran
“MasliNET: A Wrielsess Sensor Network based Environmental
Monitoring System” MIPRO, Proceedings of the 34th International
Convention, Opatija, Croatia, May 2011, pp. 150-155.
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by Admin » Fri Aug 17, 2018 5:55 pm

От себя лично скажу: работа понравилась! хоть и нет у них статьи.. :D

24. Pegrum C. Using a Raspberry Pi for Environmental Monitoring / FieldSolutions and Department of Physics. University of Strathclyde, January 17th 2015.

Abstract: Need for a robust, economical and extendable system for measuring temperature, humidity, light, etc. in small-scale commercial horticulture, where system cost is an issue. Significant running-cost savings by monitoring and controlling temperature in winter – heating is expensive! Needs accurate (to within 1°C) and reconfigurable temperature sensors, with lots of sensors distributed over a wide area. Data needs to be fully accessible remotely anywhere as a web page. The Raspberry Pi has proved to be ideal as the core of such a system.

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by Admin » Sat Aug 18, 2018 8:08 am

25. Tharun Kumar Reddy K., Kiran Kumar N., Dr. Kodanda Ramaiah G.N. Design & Implementation of Remote Monitoring System for Measuring Green House Gas Emissions at Landfill Sites and Industries Using Raspberry Pi2 // IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735. – V. 10, Issue 3, Ver. II (May - Jun.2015), P. 92-96.

Abstract:
The primary causes for the increasing global warming are the green house gases which are emitted from the major sites like Industries and Landfill (Waste Disposal) sites. So the proper monitoring of these sites is the prime concern. Because the long term exposure to these harmful gases cause severe heart and brain related diseases to the living beings. With proper monitoring of these sites especially the landfill sites, the awareness about the concentration of these gases emitted into the environment can be created to the peoples who are living around the landfill sites. The main aim of the proposed system is to develop a cost effective Remote monitoring system especially for the small area of landfill sites, which is capable to measure the temperature, humidity and pressure in the surroundings of the landfill site, concentration levels of the greenhouse gases like Methane (CH4), Carbon Dioxide (CO2) and Carbon monoxide (CO). The proposed system will send the information around the selected sites automatically to the respective authorities when the toxic levels exceeds the Permissible limits and also the public are allowed to access the system through “SMS” on demand service to know the concentration levels of the toxic gases around selected landfill site.

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References
[1]. Z. Mihajlovic, V. Milosavljevic, N Maodus, V. Rajs, M. Slankamenac, M. Zivanov, “System for monitoring concentration of NO2 and CO gasses on landfill sites”, Proceedings of the 35th International Convention MIPRO, Opatija, Croatia, pp. 183-186, 21-25 May, 2012.
[2]. S Manjula, P Ajay Kumar Reddy, M Lakshmipathy and K Bhaskar Reddy, “Mobile Data Acquisition for Air Pollution Monitoring Using Embedded System”, IJERT journal, Vol. 2 Issue 11, November, 2013.
[3]. N.kularatna and B.H. sudantha,”An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements”, IEEE sensors J., vol.8, pp.415-422, Apr.2008.
[4]. Živorad Mihajlovic, Vladimir Milosavljevic, Vladimir Rajs, and Miloš Živanov, “remote environment monitoring system for application in industry and landfill sites” 2nd Mediterranean Conference on Embedded Computing, MECO - 2013, Budva, Montenegro.
[5]. CPCB (Central Pollution Control Board), Management of Municipal Solid Wastes, 2005. Details available at <http://cpcb.nic.in/pcpdiv_plan4.htm>, last accessed on 5 July 2006.
[6]. IIR (India Infrastructure Report), Urban Infrastructure New Delhi, Oxford University Press, Oxford, 2006.
[7]. IPCC (Intergovernmental Panel on Climate Change), (2006). IPCC Guidelines for National Greenhouse Gas Inventories.
[8]. Kumar, I.P. Singh, S.K. Sud, “Energy Efficient and Low-Cost Indoor Environment Monitoring System Based on the IEEE 1451
[9]. Standard”, Sensors Journal, IEEE, Vol. 11, pp. 2598-2610, October, 2011.
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by Admin » Sun Aug 19, 2018 2:05 pm

26. Sahoo G., Pawar P., Malvi K., Jaladi A., Khithani K. Environment Monitoring System based on IoT // International Journal of Innovative Research in Computer and Communication Engineering. – 2017. Vol. 5, Issue 1. P.1083-1091.

Abstract:
In recent years, we have seen a new era of short range wireless technologies like Wi-Fi, Bluetooth [7], ZigBee [6], emerging in front of us. The project aims at building a system which can be used on universally at any scale to monitor the parameters in a given environment.Using raspberry-pi as our main board and sensors will collect all the real time data from environment and this real time data will be fetched by the web server and display it. User can access this data from anywhere through Internet.Raspberry Pi works as a base station which connects the number of distributed sensor nodes via zigbee protocol.Wireless Sensor Networks (WSN) has been employed to collect data about physical phenomenon in various applications such as habitat monitoring. The Internet of Things (IoTs) can be described as connecting everyday objects like smart-phones, Internet TVs, sensors and actuators to the Internet where the devices are intelligently linked together enabling new forms of communication between things and people, and between things themselves. In wireless sensor network system the sensor node sense the data from the sensor and that data collects the end tags, end tags send its data to the router and router to coordinator and supply multi-clients services including data display, the whole data will be stored in base station and the stored data will send to the cloud (Ethernet) and also the client can visit the base station remotely via (website) Ethernet.

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References
1. Kochlan, M.; Hodon, M.; Cechovic, L.; Kapitulik, J.; Jurecka, M., “WSN for traffic monitoring using Raspberry Pi board,” Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on, vol., no., pp.1023,1026, 7-10 Sept. 2014.

2. Nikhade, Sudhir G.; Agashe, A.A., “Wireless sensor network communication terminal based on embedded Linux and Xbee,” Circuit,Power and Computing Technologies (ICCPCT), 2014 International Conference on,vol.,no.,pp.1468,1473, 20-21 March 2014.

3. Sheikh Ferdoush, Xinrong Li “Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications”, Elsevier The 9th International Conference on Future Networks (FNC-2014)

4. Vujovic V, Maksimovic M. “Raspberry Pi as a wireless sensor node: performances and constraints”, The 37th International ICT Convention – MIPRO 2014, ISSN 1847-3938, ISBN 978-953-233-078-6, Opatia, Croatia 2014.

5. Jin-Shyan Lee, Yu-Wei Su, and Chung-Chou Shen “A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi” The 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON) Nov. 5-8, 2007, Taipei, Taiwan

6. Andrew N Sloss, Dominic Symes, Cris Wright “ARM system developer’s guide designing and optimizing system software” book published in 2004

7. X.Wei, J.Liu, G.Zhang. “Applications of web technology in wireless sensor network”,The 3rd IEEE InternationalConference on Computer Science and Information Technology (ICCSIT), pp. 227-230, 2010.

8. Vinay Raghavan and Hamid Shahnasser “Embedded Wireless Sensor Network for Environment Monitoring”. Journal
of Advances in Computer Networks Vol. 3, No. 1, March 2015.

9. J. Yang, C. Zhang, X. Li, Y. Huang, S. Fu, M.F. Acevedo. “Integration of wireless sensor networks in environmental monitoring cyber infrastructure”, Wireless Networks, Springer/ACM, Volume 16, Issue 4, pp. 1091- 1108, May 2010

10. Cheah Wai Zhao , Jayanand Jegatheesan , Son Chee Loon , “Exploring IOT Application using Raspberry Pi”, International Journal of Computer Networks and Applications Volume 2, Issue 1, January - February (2015).

11. R. Mittaland M. P. S. Bhatia , “Wireless sensor networks for monitoring the environmental activities” in Proc. 2010 IEEE International Conference on Computational Intelligence and Computing Research, 2010, pp. 1–5.
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by Admin » Sun Aug 19, 2018 4:10 pm

27. Shewale1 S. D., Gaikwad S. N. An IoT Based Real-Time Weather Monitoring System Using Raspberry Pi // International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. – 2017. Vol. 6, Issue 6. P. 4242-4249.

Abstract: This paper presents the real-time monitoring of different environmental parameters using IoT at lowcost. For this purpose we have used ARM based Raspberry Pi board. Raspbian operating system is selected to use with Linux kernel for Raspberry Pi. Python language is used for programming because IDLE understand Python. IDLE is the text editor in Raspbian. In this system some digital as well as analogue sensors like DHT11, BMP180, LDR and marked scale with ULN2803 are used for environmental parameter measuring. This data from input sensors is then read by server that is Raspberry Pi itself and stored in CSV as well as text files. Client can access this real-time data from anywhere in the world on thingspeak.com. For networking of server with client HTTP protocol is used.

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References
[1] Book “Getting Started with Raspberry Pi”, written by Matt Richardson, Shawn Wallace, December 2012: First Edition.

[2] Arko Djajadi, Michael Wijanarko, “Ambient Environmental Quality Monitoring Using IoT Sensor Network”, Internetworking Indonesia Journal (IIJ) - Vol.8/No.1 (2016).

[3] Tamilarasi B, Saravanakumar P, “Smart Sensor Interface for Environmental Monitoring in IoT”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) - Volume 5, Issue 2, February 2016.

[4] Nikhil Ugale, Prof. Mahesh Navale, “Implementation of IoT for Environmental Condition Monitoring in Homes”, International Journal For Engineering Applications And Technology (IJFEAT) – Feb 2016.

[5] Kondamudi Siva Sai Ram, A. N. P. S. Gupta, “IoT Based Data Logger System for Weather Monitoring Using Wireless Sensor Networks”, International Journal of Engineering Trends and Technology (IJETT) – Volume 32 Number 2- February 2016.

[6] Ms. Padwal S. C., Prof. Manoj Kumar, “Application of WSN for Environment Monitoring in IoT Applications”, International Conference On Emerging Trends in Engineering and Management Research (ICETEMR-16) – 23rd March 2016.
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by Admin » Wed Aug 22, 2018 7:07 pm

28. Soniya Sunny, Rejin Mathew, Kuruvilla John. Automatic Environmental Monitoring System using Wireless Sensor Network // International Journal of Innovations in Engineering and Technology (IJIET). – 2017. Volume 8 Issue 1. P. 253-259.

Abstract: Wireless sensor networks provide many solutions for various real time applications. In this paper, a real time environmental monitoring application is presented. Sensors are used to collect details regarding environmental conditions like temperature, humidity, pressure etc. at different locations. The real time data is given to Raspberry Pi which acts as a control station. It stores the data collected from different sensor units and analyzes the stored data. ZigBee protocol is used for communication between different sensor nodes. The system also provides a web interface for the user so that the user can control and monitor the system remotely.

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References
[1] Prachi Sharma, “Wireless Sensor Networks for Environmental Monitoring”, International Journal of Scientific Research Engineering & Technology, IEERET-2014 Conference Proceeding, 3-4 November, 2014.
[2] Christos G. Panayiotou, Despo Fatta, Michalis P. Michaelides, “Environmental Monitoring Using Wireless Sensor Networks”, InternationalJournal of Scientific Research Engineering & Technology, November 2014 [3] Mr. Sudhir G. Nikhade, Dr. Mrs. A. A. Agashe, “Wireless Sensor Network Communication Terminal Based on Embedded Linux and Xbee”, International Conference on Circuit, Power and Computing Technologies, 2014.
[4] Sudhir G. Nikhade, “ Wireless Sensor Network System using Raspberry Pi and Zigbee for Environmental Monitoring Applications”, International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials, May 2015. pp.376-381.
[5] Sheikh Ferdoush, Xinrong Li “Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications”, Elsevier The 9th International Conference on Future Networks and Communications (FNC-2014).
[6] Vujovic, V.; Maksimovic, M., “Raspberry Pi as a Wireless Sensor node: Performances and constraints,” Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on, vol., no., pp.1013,1018, 26-30 May 2014.
[7] Kochlan, M.; Hodon, M.; Cechovic, L.; Kapitulik, J.; Jurecka, M., “WSN for traffic monitoring using Raspberry Pi board,” Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on, vol., no., pp.1023,1026, 7-10 Sept. 2014.
[8] Powers, Shawn. “The open-source classroom: your first bite of raspberry pi.” Linux Journal 2012.224 (2012):7.http://www.raspberrypi.org.
[9] RaspberryPi,webpage:http://en.wikipedia.org/ wiki/Raspberry_Pi [April20, 2014].
[10] Pandurang H. Tarange, Rajan G. Mevekari, “Web based Automatic Irrigation System using wireless sensor network and Embedded Linux board”, International Conference on Circuit, Power and Computing Technologies, 2015
[11] ZigBee Specification.ZigBee Alliance 2006.http:// http://www.zigbee.org/.
[12] DigiInternational Inc., available at http://www.digi.com.
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by Admin » Thu Aug 23, 2018 4:55 pm

29. Fabrizio Ciancetta, Student Member, IEEE, Biagio D’Apice, Carmine Landi, Member, IEEE and Alfredo Pelvio Mobile Sensor Network Architecture for Environmental Monitoring / Department of Information Engineering, Second University of Naples Via Roma 29, 81031 Aversa (CE) – Italy.

Abstract: Environmental sensors are developed and used for environmental assessment such as electromagnetic field, thermal and air environments. The specified items for the thermal environmental assessment are temperature, humidity, and air flowing rate and so on, and the items for air environmental assessment include all kinds of gas sensor [1]. The main goal of this paper is to present an implementation of an environmental mobile sensor for distributed measurement system based on the web service approach. The proposed system is based on a freeware widely utilized technology, the Gnutella network, to route and share information adopting a low-cost hardware architecture. This solution offers great possibility in terms of fast and easy access to measured data, of integration of large complex Web sensor network, of realization of flexible custom applications and of service reusability. The goal is to give the possibility to every client and every developer to obtain only the needed information or to develop new measurement application starting with different information also coming from different sensors.

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References
[1]C. Huang, Preparation of Combined Environmental Sensors, School of Opto-electronic Information, University of Electronic Science & Technology of China, PR.China.

[2]Park, S., Kang, J., Park, J., Mun S., One-bodied humidity and temperature sensor having advanced linearity at low and high relative humidity range, Sensors and Actuators, B: Ch., 76(1-3):322-326

[3]W. Gopel, K.D. Schiebraum., SnO2 sensors: current status and future prospects, Sensors and Actuators, B 26-27(1997): 1-12

[4]E. Traversa., Ceramic sensors for humidity detection: the state- of- art and future development,
Sensors and Actuators, B 23(2-3): 135-1563

[5]Cantalini, C., Pelino, M., Sun, H.T., Faccio, M., Santucci, S., Lozzi, L., Passacantando, M., Cross sensitivity and stability of NO2 sensors from WO3 thin film, Sensors and Actuators, B35(1-3): 112- 118

[6]F. Ciancetta, B. D’Apice, D. Gallo, Member, IEEE, C. Landi, Member, IEEE, Architecture for Distributed Monitoring based on Smart Sensor and Web Service, IMTC 2006 – Instrumentation and Measurement Technology Conference Sorrento, Italy 24-27 April 2006.

[7]Matei Ripeanu, Peer-to-Peer Architecture Case Study, Gnutella Network Analysis, 1 st International Conference in Peer-to-Peer Networks Aug. 2001, Linkpings Universitet, Sweden.

[8]G. Bucci, F. Ciancetta, E. Fiorucci, Daniele Gallo, Carmine Landi, A low cost embedded Web Services for measurements on power system, IEEE VECIMS 2005 Giardini Naxos , Italy, 18-20 July 2005.

[9]http://en.wikipedia.org/wiki/Gnutella

[10]J. E. Berkes, Decentralized Peer-to-Peer Network Architecture, Gnutella and Freenet, University of Manitoba, Winnipeg, Manitoba, Canada, April 2003.
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by Admin » Sat Aug 25, 2018 3:30 pm

30.D. Siva Varma and Abraham Sudharson Ponraj. Environment Monitoring System and Traffic Control Using Vehicular Network // Indian Journal of Science and Technology. - 2016. Vol 9(45), DOI: 10.17485/ijst/2016/v9i45/99612.

Abstract: Objectives: This paper aims at providing a feasible solution for monitoring the environment as well as to control the traffic using vehicular network. Methods/Statistical Analysis: The MQ-2 gas sensor and the GPS Module are interfaced with the Raspberry Pi to facilitate the vehicular network. The well integrated module helps in making the routine life of getting into traffic avoidable. Findings: This work effectively gives a solution to control the traffic as well as to monitor the environmental pollution. It helps to reduce the pollution along with the traffic. This can be implemented on the vehicles to provide a better communication between the vehicles. Application/Improvement: This lead to the implementation of a network which works on the grounds of the vehicle communication and brings out a better throughput.

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References
1. Reshi AA, Shafi S, Kumaravel A, VehNode V. Wireless Sensor Network Platform for Automobile Pollution
Control, Proceedings of IEEE Conference on Information and Communication Technologies, 2013, p. 963-66.

2. Somov A, Bar A, Savkin A, Spirjakin D, Pirjakin D, Passerone R. Development of Wireless Sensor Network for
Combustion Gas Monitoring, Sensors and Actuators. 2011: 171:217-25.

3. Ferdoush A, Li X. Wireless Sensor Network System Design Using Arduino for Environment Monitoring Applications, Procedia Computer Science. 2014; 34:109-10.

4. Coimbra F, Delicato D, Paulo F, Pires P, Pirmez L, Luiz L. AFlexible Web Server Based Architecture for WSN, Procedia Computer Science. 2014; 34:1-20.

5. Wanga F, Hua F, Zhoub D, Suna R, Hua H, Zhaoa K. Estimating Online Vacancies in Real-Time Road Traffic
Monitoring with Traffic Sensor Data Stream, ADHOC Networks.2005; 35:3-13.

6. Semertzidis T, Dimitropoulos K, Koutsia A, Grammalidis N. Video Sensor Network for Real-Time Traffic Monitoring and Surveillance, Intellectual Transaction System the Institution of Engineering and echnology.2010 Jun; 4(2):103-12.

7. Liua T, Cedera A, Mac BJ, Guanc W. Remaining Time Improvement of V2V Communication Based GPS Direction Detection, ADHOC Networks.2002; 458-65.

8. Parthasarathi V, Surya M, Akshay B, Siva KM, Vasudevan SK. Smart Control of Traffic Signal System using Image Processing, Indian Journal of Science and Technology. 2015 Jul; 8(16):1-5.


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