Journal articles on the topic 'Environmental monitoring network'

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1

Sundareshwar, P. V., R. Murtugudde, G. Srinivasan, S. Singh, K. J. Ramesh, R. Ramesh, S. B. Verma, et al. "ENVIRONMENT: Environmental Monitoring Network for India." Science 316, no. 5822 (April 13, 2007): 204–5. http://dx.doi.org/10.1126/science.1137417.

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Alemayehu, B., M. Mckinzie, T. Cochran, D. Sythe, R. Randrup, and E. Lafargue. "Citizen-based environmental radiation monitoring network." Journal of Radioanalytical and Nuclear Chemistry 314, no. 2 (September 21, 2017): 1095–101. http://dx.doi.org/10.1007/s10967-017-5479-4.

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Madda, Dheeraj R. "Distributed Environmental Monitoring using Wireless Sensor Network." International Journal for Research in Applied Science and Engineering Technology 7, no. 7 (July 31, 2019): 633–36. http://dx.doi.org/10.22214/ijraset.2019.7101.

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Sousa, P. J., R. Tavares, P. Abreu, and M. Teresa Restivo. "NSensor – Wireless Sensor Network for Environmental Monitoring." International Journal of Interactive Mobile Technologies (iJIM) 11, no. 5 (July 24, 2017): 25. http://dx.doi.org/10.3991/ijim.v11i5.7067.

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<p class="0abstract">This paper reports the development and integration of a wireless sensor network for environmental monitoring. The main goals of this system include modularity, low power consumption and ease of expansion. The system includes three main elements: sensor nodes, gateways and a server. Each sensor node can only connect to a gateway, resulting in a star network layout. Data collected from the different sensor nodes is stored in a database within the server. A web-based user interface for this system was developed and made available online.</p>
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Corbellini, S., E. Di Francia, S. Grassini, L. Iannucci, L. Lombardo, and M. Parvis. "Cloud based sensor network for environmental monitoring." Measurement 118 (March 2018): 354–61. http://dx.doi.org/10.1016/j.measurement.2017.09.049.

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Vairamani, K., N. Mathivanan, K. Arun Venkatesh, and U. Dinesh Kumar. "Environmental parameter monitoring using wireless sensor network." Instruments and Experimental Techniques 56, no. 4 (July 2013): 468–71. http://dx.doi.org/10.1134/s0020441213040118.

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Rus, C., R. Marcus, L. Pellegrini, M. Leba, M. Rebrisoreanu, and A. Constandoiu. "Electric cars as environmental monitoring IoT Network." IOP Conference Series: Materials Science and Engineering 572 (August 2, 2019): 012091. http://dx.doi.org/10.1088/1757-899x/572/1/012091.

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Vairamani, K., N. Mathivanan, K. Arun Venkatesh, and U. Dinesh Kumar. "Environmental Parameter Monitoring Using Wireless Sensor Network." Приборы и техника эксперимента 2013, no. 4 (2013): 108–11. http://dx.doi.org/10.7868/s0032816213040149.

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Lombardo, Luca, Simone Corbellini, Marco Parvis, Ahmed Elsayed, Emma Angelini, and Sabrina Grassini. "Wireless Sensor Network for Distributed Environmental Monitoring." IEEE Transactions on Instrumentation and Measurement 67, no. 5 (May 2018): 1214–22. http://dx.doi.org/10.1109/tim.2017.2771979.

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Zhu, Li, and Jianwu Li. "WSN Optimization Algorithm for Traffic Environmental Monitoring." International Journal of Online and Biomedical Engineering (iJOE) 14, no. 12 (December 23, 2018): 72. http://dx.doi.org/10.3991/ijoe.v14i12.9495.

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In accordance with the features of variety and disparity of traffic information, using wireless sensor network to monitor traffic environment, this paper proposes an optimization algorithm of applying wireless sensor to monitor traffic environment. In this paper, to optimize the coverage, we analyze the irregularity of network sensing areas based on environmental factors and propose a wireless sensor network optimization algorithm. According to the irregularity of network node sensing areas, we build an irregular network coverage model, divide the node monitoring area to improve the network coverage and make corrections to the coverage according to the network coverage connectivity and other features. The simulation test proves that the method proposed in this paper can avoid too many redundant nodes - it only requires a reasonable number of network nodes. This will reduce network energy costs and increase network connectivity without affecting the coverage, thus improving the network performance. the algorithm can satisfy the requirements of real-time acquisition, processing and remote supervision of traffic information.
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Han, Xiao Wei, Jing Lin Duan, and Jian Zhang. "Design of Environmental Monitoring Data Collection Repeater." Advanced Materials Research 955-959 (June 2014): 1112–15. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1112.

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A data collection repeater based on ARM Cortex-M3 core for environmental monitoring is introduced in this paper. The chip STM32 is used as CPU processor, CC2530 module as a sink node of Wireless Sensor Networks, the collected data is sent to monitoring center by GPRS network. Integration of WSN, ARM and GPRS, the collection of environmental parameters and capability of wireless transmission are achieved in low-power conditions. Hardware structure and application program of the repeater are given.
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Zhang, Fan, Shui Yuan Cheng, Ping Zhong, Rui Wu, Ming Juan Ma, and Wei Wei Gong. "Study of China’s Highway Environmental Monitoring Network Planning." Applied Mechanics and Materials 675-677 (October 2014): 318–24. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.318.

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Environmental monitoring of national highway is an important content of China’s environmental monitoring network in the transport field, a part of national environmental monitoring system, and also a significant basis for environmental protection supervision and management of the transport industry. Using the methods of spatial analysis, grid analysis, and optimization through ArcGIS, monitoring objects of Chinese national highway environmental monitoring network had been screened out. Among which, the environmental quality monitoring objects are composed of the national highway sensitive sections nearby or passing through 277 natural reserves, 32 national scenic areas, 7 of the world’s natural and cultural heritage sites, 8 important wetlands, 398 important reservoirs, and 193 state-level sensitive aquatic germ plasm resources conservation areas; and the pollutant emission monitoring objects include 316 long and extra-long tunnels, 539 service areas and 601 toll stations with large traffic volume. Environmental quality monitoring objects and pollutant emission monitoring objects form China’s National Highway Environmental Monitoring Network, which has filled the blank of highway environmental monitoring in the national environmental monitoring network. It will play a positive role in promoting the green development of China's transport industry.
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Netsvetaeva, O. P., V. B. Korobov, E. O. Antipov, and A. G. Tutygin. "Optimization of the White sea environmental monitoring network." Journal of Oceanological Research 48, no. 1 (April 30, 2020): 73–84. http://dx.doi.org/10.29006/1564-2291.jor-2020.48(1).5.

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The order of the environmental monitoring stations is very important for marine water areas that characterized by high indentation of the coastline, a significant number of islands and shallows. This article proposes a methodology in order to reduce the number of monitoring stations based on zoning of the water area followed by optimization of the research vessels route. The optimization was performed using the well-known traveling salesman problem algorithm, which was improved for this case. It is shown that this approach allows to reduce the time of one survey by 15–20% on the example of monitoring the oxygen saturation in the White Sea waters.
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Susca, S., F. Bullo, and S. Martinez. "Monitoring Environmental Boundaries With a Robotic Sensor Network." IEEE Transactions on Control Systems Technology 16, no. 2 (March 2008): 288–96. http://dx.doi.org/10.1109/tcst.2007.903395.

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Ahmed, Sevil A., Vasil L. Popov, Andon V. Topalov, and Nikola G. Shakev. "Environmental monitoring using a robotized wireless sensor network." AI & SOCIETY 33, no. 2 (February 8, 2018): 207–14. http://dx.doi.org/10.1007/s00146-018-0815-y.

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Manzano, L. Gallego, Hamza Boukabache, Salvatore Danzeca, Natalie Heracleous, Fabrizio Murtas, Daniel Perrin, Vasja Pirc, Alejandro Ribagorda Alfaro, Alessandro Zimmaro, and Marco Silari. "An IoT LoRaWAN Network for Environmental Radiation Monitoring." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–12. http://dx.doi.org/10.1109/tim.2021.3089776.

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Devara, P. C. S., P. E. Raj, A. S. Gadgil, B. Patwakdiian, and A. D. Tillu. "An Optical Network for Monitoring of Environmental Pollution." Journal of Optics 27, no. 3 (September 1998): 111–19. http://dx.doi.org/10.1007/bf03549340.

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Dychko, Alina, and Igor Yeremeev. "Environmental monitoring of groundwater in urban ecosystems." USEFUL online journal 1, no. 2 (December 28, 2017): 01–10. http://dx.doi.org/10.32557/useful-1-2-2017-0001.

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Monitoring system, that ensures a steady control of water urboecosystem in area of man-caused factors influence, which allows evaluating measures to reduce the impact of hazardous sources on environment, which predicts possible consequences of intensive exploitation of ecosystem objects, is practically absent. Methods for determining structure of measuring network, arising from theory of fractals, are presented. The developed methodology for improving reliability of data for environmental monitoring is based on determining structure of measuring network, area limits and density of pollution on basis of measuring network data and appropriate interpolation and smoothing algorithms, and also determining dynamics of pollution area. Measurement network for monitoring of groundwater in urboecosystem should be formed as a matrix structure. The developed system of environmental monitoring allows carrying out constant monitoring of the environment, evaluating measures to reduce the technogenic impact and predicting its consequences.
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Ling, Hao Yi, Ling Mei Wang, and Xing Yong Zhao. "Transmission Network Status Monitoring Overview." Applied Mechanics and Materials 325-326 (June 2013): 599–603. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.599.

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Transmission lines is an important part of the power system. Transmission line condition monitoring system can enhance the operational reliability of the grid line level of safety, at the same time lay the foundation for intelligent transmission line. Insulator contamination monitoring , lightning monitoring, environmental monitoring, wire breeze vibration monitoring online monitoring technology on the existing transmission line condition monitoring technologies , including comparative analysis of the far-reaching. It can reduce the workload of the artificial line inspection , to reduce the occurrence of pollution flashover to improve power supply reliability. To reduce the pollution flashover occurred to improve the reliability of power supply. Condition based maintenance decision support and sharing of information with other systems. HOMER and MATLAB simulation software , simulation , historical data analysis . Export real - time wind speed data, provide data to support the conductor galloping and aeolian vibration of monitoring and environmental monitoring.
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Zareei, Mahdi, Cesar Vargas-Rosales, Mohammad Hossein Anisi, Leila Musavian, Rafaela Villalpando-Hernandez, Shidrokh Goudarzi, and Ehab Mahmoud Mohamed. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications." Energies 12, no. 14 (July 20, 2019): 2794. http://dx.doi.org/10.3390/en12142794.

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Fast development in hardware miniaturization and massive production of sensors make them cost efficient and vastly available to be used in various applications in our daily life more specially in environment monitoring applications. However, energy consumption is still one of the barriers slowing down the development of several applications. Slow development in battery technology, makes energy harvesting (EH) as a prime candidate to eliminate the sensor’s energy barrier. EH sensors can be the solution to enabling future applications that would be extremely costly using conventional battery-powered sensors. In this paper, we analyze the performance improvement and evaluation of EH sensors in various situations. A network model is developed to allow us to examine different scenarios. We borrow a clustering concept, as a proven method to improve energy efficiency in conventional sensor network and brought it to EH sensor networks to study its effect on the performance of the network in different scenarios. Moreover, a dynamic and distributed transmission power management for sensors is proposed and evaluated in both networks, with and without clustering, to study the effect of power balancing on the network end-to-end performance. The simulation results indicate that, by using clustering and transmission power adjustment, the power consumption can be distributed in the network more efficiently, which result in improving the network performance in terms of a packet delivery ratio by 20%, 10% higher network lifetime by having more alive nodes and also achieving lower delay by reducing the hop-count.
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Oteros, Jose, Carmen Galán, Purificación Alcázar, and Eugenio Domínguez-Vilches. "Quality control in bio-monitoring networks, Spanish Aerobiology Network." Science of The Total Environment 443 (January 2013): 559–65. http://dx.doi.org/10.1016/j.scitotenv.2012.11.040.

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Wu, Hua Rui, and Li Zhu. "A Wireless Sensor Networks Monitoring Device Based on ZigBee." Applied Mechanics and Materials 513-517 (February 2014): 2077–81. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2077.

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environmental monitoring should have real-time, reliability and sustainability,the article design a device which can meet the request of environmental monitoring. the wireless sensor networks device based on ZigBee is described in detailed, meanwhile, a new routing strategy based on LEACH algorithm is proposed,implement of the strategy is described in the thesis.The new routing strategy is suitable for the long time monitoring, and realized the establishment of network cluster head nodes, broadcasting, selection and scheduling. According to the distance and energy consumption of nodes make a decision that the node joining a cluster or as a separate node directly communicate with the control node.The simulation results show that the device can real-time collection and remote transmission environmental temperature, humidity and other information, reduce energy consumption of data transmission, Prolong the network life-time, improve the network quality, and ensure the wireless sensor networks stable wrok,realize the network optimization.
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Lim, Jong Chern, and Chris Bleakley. "Adaptive WSN Scheduling for Lifetime Extension in Environmental Monitoring Applications." International Journal of Distributed Sensor Networks 8, no. 1 (December 12, 2011): 286981. http://dx.doi.org/10.1155/2012/286981.

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Wireless sensor networks (WSNs) are often used for environmental monitoring applications in which nodes periodically measure environmental conditions and immediately send the measurements back to the sink for processing. Since WSN nodes are typically battery powered, network lifetime is a major concern. A key research problem is how to determine the data gathering schedule that will maximize network lifetime while meeting the user's application-specific accuracy requirements. In this work, a novel algorithm for determining efficient sampling schedules for data gathering WSNs is proposed. The algorithm differs from previous work in that it dynamically adapts the sampling schedule based on the observed internode data correlation as well as the temporal correlation. The performance of the algorithm has been assessed using real-world datasets. For two-tier networks, the proposed algorithm outperforms a highly cited previously published algorithm by up to 512% in terms of lifetime and by up to 30% in terms of prediction accuracy. For multihop networks, the proposed algorithm improves on the previously published algorithm by up to 553% and 38% in terms of lifetime and accuracy, respectively.
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Li, Shao Ling, Yu Han, Ge Li, Man Zhang, Lei Zhang, and Qin Ma. "Design and Implementation of Agricultral Greenhouse Environmental Monitoring System Based on Internet of Things." Applied Mechanics and Materials 121-126 (October 2011): 2624–29. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2624.

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During agricultural production, some information (such as temperature,humidty,wind, rainfall and PH of soil) is obtained by manual measurement method,which exists many problems,for example time-consuming, laborious problem.In this paper, the agricultural greenhouse environmental monitoring system is designed based on the Internet of Things,which realized remote realtime monitoring of the environmental information in greenhouse,combining with the Internet,wireless network and mobile network.A wireless sensor network is established for collecting environmental information such as temperature and humidity by using ZigBee protocol.Finally,the collected environmental information is accessed into the internet and mobile network through the control center .The monitoring system can realize the short message warming and real-time monitoring of agriculture enviromental information.
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Wang, Hong Fen. "Environmental Monitoring System Based on ZigBee Wireless Sensor and Low-Power Technology." Advanced Materials Research 662 (February 2013): 701–4. http://dx.doi.org/10.4028/www.scientific.net/amr.662.701.

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Environment monitoring system is an application service system for the management of industry and agriculture and the construction and operation of the national economy, which is conducive to the protection of the environment and ecology, can effectively avoid major environmental pollution incidents to threaten people's lives and property safety, and provide information support to safe energy system and to more efficient cooperative-work. The wireless sensor network is the product of the combination of sensor technology, communication technology and computer network technology. The wireless communication technologies in wireless sensor networks include infrared, Bluetooth, Wi-Fi, and ZigBee, etc.. ZigBee technology is a set of communications technology for networking, security and application software with developed based on the IEEE 802.15.4 wireless standard, which are provided with low-power, low-latency, high security and other technical advantages. In this paper, the ZigBee wireless sensor network was used for data acquisition, wireless transmission in environmental monitoring site, which overcame the disadvantages and difficulties from traditional manual sampling monitors and from complicated wiring cable network monitoring. Quickly through ZigBee network data transmission to the monitoring platform to provide a reliable basis for environmental monitoring.
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Lu, Sheng Li, Qing Yun Gao, Yan Yan Tian, and Mei Ling Liu. "Atmospheric Environmental Monitoring System Based on Wireless Sensor Network." Advanced Materials Research 518-523 (May 2012): 1475–78. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.1475.

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The atmospheric environmental monitoring system based on wireless sensor network is made up of embedded gateway, sensor nodes and monitoring centre. Sensor node is composed of various sensors meeting the standards for environmental monitoring, ATmega16 microcontroller as a core and ZigBee wireless communication module used to send the acquisition data to the embedded gateway which runs Linux operating system in the S3C2440A embedded microprocessor. Atmospheric environmental monitoring center receives the environmental data uploaded by the embedded gateway and stores them in the database designed with Access 2007, and provides the function as data query based on VC.
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Patrignani, Andres, Narmadha Mohankumar, Christopher Redmond, Eduardo Alvarez Santos, and Mary Knapp. "Optimizing the Spatial Configuration of Mesoscale Environmental Monitoring Networks Using a Geometric Approach." Journal of Atmospheric and Oceanic Technology 37, no. 5 (May 2020): 943–56. http://dx.doi.org/10.1175/jtech-d-19-0167.1.

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AbstractThe ability of mesoscale environmental monitoring networks to collect spatially unbiased observations and to detect mesoscale environmental phenomena is radically determined by the spatial configuration of the network. However, there is lack of an objective, practical, and amenable method for guiding the spatial configuration of multifunctional, long-term mesoscale networks. The objective of this study is to present and demonstrate the application of a new method based on computational geometry that identifies the optimal location of future monitoring stations by finding the largest unmonitored area of the network. The computation of the method is first illustrated using the spatial distribution of the Kansas Mesonet as a case-study scenario and is then applied to several statewide and nationwide mesoscale networks in the United States. The proposed geometric method was effective to generate a long-term road map with the location of future monitoring stations. The geometric method seamlessly integrated with georeferenced data to identify the largest unmonitored areas with frequent occurrence of wildland fires and severe drought and to identify underrepresented soil types. Spatially dense statewide mesoscale networks with >120 stations across the studied U.S. states resulted in largest unmonitored areas of about 602 km2, whereas nationwide networks had largest unmonitored areas of 5002–6002 km2. The proposed method based on the geometric arrangement of network stations can be used by scientists, network managers, and state climatologists to improve the spatial representability of existing networks, better plan the allocation of limited resources, and increase the preparedness potential of mesoscale networks.
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Nistor, P., and I. Orha. "Environmental Parameters Monitoring System." Carpathian Journal of Electronic and Computer Engineering 14, no. 2 (December 1, 2021): 6–10. http://dx.doi.org/10.2478/cjece-2021-0007.

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Abstract The project presents the development of a system for monitoring environmental parameters. At the base of this system is the ESP-32S board that collects, processes and transmits data from the three sensors to the two web interfaces. The role of these web interfaces is to display the data collected from the sensors. The local web interface consists of two windows, the first window contains the table of sensors that displays the data measured by the sensors at that time. In the second window you can see the data measured by the sensors through graphs. They store the sensor data, giving the user the ability to view previously measured data. The local web interface provides sensor data only in the Wi-Fi network coverage area, and its data is deleted when the server is closed. The global web interface displays data using graphs. At the base of this web interface is the ThingSpeak platform that allows the system to transmit data anywhere in the world, store data in the Cloud space and the possibility of using special analysis functions.
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Jackson, F. L., I. A. Malcolm, and David M. Hannah. "A novel approach for designing large-scale river temperature monitoring networks." Hydrology Research 47, no. 3 (November 12, 2015): 569–90. http://dx.doi.org/10.2166/nh.2015.106.

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Water temperature is an important control on processes in aquatic systems and particularly for freshwater fish, affecting growth, survival and demographic characteristics. In recognition of this importance, the Scottish Government has prioritised developing a robust national river temperature monitoring network. Advances in geographical information systems, spatial statistics and field data loggers make large-scale river temperature monitoring increasingly possible. However, duplication of environmental and thermal characteristics among monitoring sites means many networks have lower than expected statistical power. This paper describes a novel methodology for network design, illustrated by the development of the Scotland River Temperature Monitoring Network. A literature review identified processes controlling stream temperature and associated landscape controls. Metrics indicative of these landscape controls were calculated for points every 500 m along the river network. From these points, sites were chosen to cover the full range of observed environmental gradients and combinations of controlling variables. The resulting network contains sites with unique characteristics covering the range of relevant environmental characteristics observed in Scottish salmon rivers. The network will thus have minimal redundancy, often not seen in large networks, and high statistical power to separate the relative importance of predictor variables thereby allowing large-scale water temperature predictions.
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Song, Jing Jiang, and Ying Li Zhu. "Environment Monitoring System for Precise Agriculture Based on Wireless Sensor Network." Applied Mechanics and Materials 475-476 (December 2013): 127–31. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.127.

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With the development of agricultural modernization, agricultural environment protection, Wireless Sensor Networks are used in the field of environmental monitoring for modern agriculture, which brings a broad and bright application prospects. The paper presents a real-time monitoring system based ZigBee wireless sensor network and GPRS network. The system gives the hardware design of wireless sensor node and software implementations. The system design provided a guarantee to achieve accurate, remote and real-time monitoring agricultural environmental information.
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Potirakis, Stelios M., Bilel Nefzi, Nikolas Alexander Tatlas, Gurkan Tuna, and Maria Rangoussi. "A Wireless Network of Acoustic Sensors for Environmental Monitoring." Key Engineering Materials 605 (April 2014): 43–46. http://dx.doi.org/10.4028/www.scientific.net/kem.605.43.

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A distributed microelectronic system for the sound/acoustic monitoring of areas of environmental interest, based on a wireless network of acoustic sensors (microphones), and the automated generation of multi-level sound maps for environmental assessment has been recently proposed. This contribution focuses on the relation between the density of the wireless nodes and node operational parameters, like the required communication rate, data compression and power autonomy, in each one of the proposed area coverage schemes/ network architectures. The results provide the grounds both for the selection of the hardware architecture on network and on node level, but also for the decision on the distribution of the processing effort between the local and the central processing units.
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Sinde, Ramadhani, Shubi Kaijage, and Karoli Njau. "Cluster based wireless sensor network for forests environmental monitoring." International Journal of Advanced Technology and Engineering Exploration 7, no. 63 (February 29, 2020): 36–47. http://dx.doi.org/10.19101/ijatee.2019.650083.

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Safia, Amany Abu, Zaher Al Aghbari, and Ibrahim Kamel. "Distributed Environmental Event Monitoring using Mobile Wireless Sensor Network." Procedia Computer Science 155 (2019): 335–42. http://dx.doi.org/10.1016/j.procs.2019.08.048.

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Posnicek, Thomas, Karlheinz Kellner, and Martin Brandl. "Wireless Sensor Network for Environmental Monitoring with 3G Connectivity." Procedia Engineering 87 (2014): 524–27. http://dx.doi.org/10.1016/j.proeng.2014.11.539.

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Morecroft, M. D., J. K. Adamson, and A. M. Lane. "The Environmental Change Network: Integrating climate and ecological monitoring." Weather 52, no. 1 (January 1997): 7–12. http://dx.doi.org/10.1002/j.1477-8696.1997.tb06242.x.

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PÉREZ-ABREU, VÍCTOR, and JOSÉ ELÍAS RODRÍGUEZ. "INDEX OF EFFECTIVENESS OF A MULTIVARIATE ENVIRONMENTAL MONITORING NETWORK." Environmetrics 7, no. 5 (September 1996): 489–501. http://dx.doi.org/10.1002/(sici)1099-095x(199609)7:5<489::aid-env224>3.0.co;2-0.

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Hossain, Mohammad Shakhawat, and Arash Takshi. "Perovskite-Based Gas Sensing Network for Environmental Condition Monitoring." ECS Meeting Abstracts MA2021-01, no. 58 (May 30, 2021): 1575. http://dx.doi.org/10.1149/ma2021-01581575mtgabs.

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Chen, Chiung-Hsing, Chih-Ming Hong, Whei-Min Lin, and Yi-Chen Wu. "Implementation of an Environmental Monitoring System Based on IoTs." Electronics 11, no. 10 (May 17, 2022): 1596. http://dx.doi.org/10.3390/electronics11101596.

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The objective of this paper is to study smart home network systems and the application of LabVIEW to develop a human machine interface (HMI), so that traditional instrument panels can be replaced with virtual panels to reduce the consumption of hardware resources. For energy efficiency, MATLAB’s fuzzy toolbox is used as the computing center, which is applied to the lighting system and air-conditioning system. This paper also uses LabVIEW’s common gateway interface (CGI) tools to develop remote monitoring functions, as well as to embed the network-related syntax into the web pages. The user can not only use computer equipment, but can also use their mobile devices to connect to the networks and conduct remote monitoring, which enhances convenience and security. This paper is finally tested with actual cases, and the electricity consumption with and without fuzzy logic control is compared. The test results show that fuzzy logic control can reduce electricity consumption. As well as using computers to test the remote monitoring functions, cell phones and pads were used.
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Gao, Hong Bin, and Yan Zheng. "Regional Internet Environmental Air Quality Monitoring System." Advanced Materials Research 838-841 (November 2013): 2058–61. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2058.

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With the increasing emphasis on national environmental issues, air quality has increasingly aroused peoples discuss. Therefore, it is significantly meaningful to devise a set of monitoring for regional air quality system. This paper introduces the design of a sensor network based on air quality monitoring system. It has achieved the purpose of air quality of real-time data collection with long-distance transmission, which has the characteristics of light weight, convenient, easy to layout. The system ether adopts CC2530 SCM and the relative sensor data acquisition, or utilizes ZigBee to realize the collection of air quality data consisting of a star network. The GPRS module provides the original data by UDP protocol.
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Arias, Paola A., Juan Camilo Villegas, Jenny Machado, Angélica M. Serna, Lina M. Vidal, Catherine Vieira, Carlos A. Cadavid, Sara C. Vieira, Jorge E. Ángel, and Óscar A. Mejía. "Reducing Social Vulnerability to Environmental Change: Building Trust through Social Collaboration on Environmental Monitoring." Weather, Climate, and Society 8, no. 1 (January 1, 2016): 57–66. http://dx.doi.org/10.1175/wcas-d-15-0049.1.

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Abstract The occurrence of natural and socially driven catastrophic events has increased in the last few decades in response to global environmental changes. One of the most societally relevant challenges in managing the effects of these events is the establishment of risk management strategies that focus on managing vulnerability, particularly in disfavored countries, and communities among them. Most cases of enhanced vulnerability occur in, but are not limited to, developing countries, where the combination of social inequity, inappropriate use of natural resources, population displacement, and institutional mistrust, among other factors, make risk management particularly challenging. This paper presents a vulnerability-centered risk management framework based on social cohesion and integration principles that, combined with scientific, technical, and popular knowledge, lead to the development of social networks of risk reduction. This framework is intended as a strategy to strengthen early warning systems (EWS), where the human-related factor is among their most challenging components. Using water-related hazards as a case study, this paper describes the experience of the conformation of a social network for environmental monitoring using this model example on vulnerability reduction in the rural areas of the central Andes in Colombia. This experience allowed the effective conformation of a social network for environmental monitoring in 80 municipalities of Colombia, where communities developed a sense of ownership with the instrumentation and the network, strengthening links with local authorities and contributing to more efficient EWS. More generally, the authors highlight the need to develop vulnerability-centered risk management via community-building strategies, particularly for areas where little can be done to decrease the occurrence of catastrophic events.
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41

Zhang, Na, Xianghui Zhao, Tao Liu, Ming Lei, Cui Wang, and Yikun Wang. "Layout Planning of Highway Transportation Environment Monitoring Network: The Case of Xinjiang, China." Sustainability 12, no. 1 (December 30, 2019): 290. http://dx.doi.org/10.3390/su12010290.

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Environmental monitoring is an important tool for environmental protection supervision and management. Environmental monitoring can help us effectively understand and master the degree of environmental pollution, and provide data support for putting forward environmental protection measures. Scientific layout and reasonable level of environmental monitoring network design is an essential cornerstone for environmental monitoring, and a significant measure to promote the industry and green sustainable development. This paper systematically analyzed its requirements of monitoring stations in the highway traffic environment monitoring network. First of all, the paper analyzed the influencing factors of regional monitoring stations in the Xinjiang transportation environment monitoring network by referring to the idea of planning the distribution points of the national transportation environment monitoring network, and determines the weight of them by using the analytic hierarchy process (AHP), which lays a foundation for the subsequent selection and determination of environmental monitoring stations. Secondly, the advantage order of ecological monitoring objects’ importance degree was synthetically sorted by the fuzzy comprehensive evaluation method. Finally, the ranking results of the environmental monitoring objects were integrated to determine the number of traffic environmental monitoring stations that need to be built, and the layout of the highway traffic environment monitoring network in Xinjiang was proposed.
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42

Zhao, Kunrong, Tingting He, Shuang Wu, Songling Wang, Bilan Dai, Qifan Yang, and Yutao Lei. "Application Research of Artificial Neural Network in Environmental Quality Monitoring." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 12 (November 2019): 1959039. http://dx.doi.org/10.1142/s0218001419590390.

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With the steady growth of the economy and the rapid development of modern industrial technology, the problem of environmental pollution has increased. To continue to develop, it is necessary to thoroughly implement the sustainable development strategy, and we must pay more attention to environmental issues. One of the important management tools implemented in China for environmental management is environmental quality monitoring and evaluation. Environmental quality monitoring can scientifically evaluate the environmental quality of a region, scientifically evaluate and forecast the environmental management and environmental engineering, and provide scientific basis for environmental management, environmental engineering, formulation of environmental standards, environmental planning, comprehensive prevention and control of environmental pollution, and ecological environment construction. This paper will discuss the basic principles of neural network and the implementation process of MATLAB and in the MATLAB software implementation and display process. At the same time, the results of different parameters are analyzed through experiments, and the network parameters are constantly adjusted to improve the accuracy of the evaluation results. Taking the regional environment as an example, two monitoring methods are proposed, and a variety of neural network models are used to analyze each prediction method. Case study results show that the latter method has a better prediction effect.
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43

Gaur, Rajneesh K. "Cellular Network Based Drug Monitoring." Asia Pacific Journal of Public Health 23, no. 6 (November 2011): 1025–26. http://dx.doi.org/10.1177/1010539511422741.

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Pharmacovigilance is a resourceful process for monitoring adverse drug reactions. The lack of resources in developing countries makes it difficult to execute pharamcovigilance programs on a large scale. Therefore, the cellular technology based network, which has widespread access in the developing world, may be used as an inexpensive means of monitoring.
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44

Luo, Xu, and Jun Yang. "A Survey on Pollution Monitoring Using Sensor Networks in Environment Protection." Journal of Sensors 2019 (January 14, 2019): 1–11. http://dx.doi.org/10.1155/2019/6271206.

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Detecting pollution timely and locating the pollution source is of great importance in environmental protection. Considering advantages of the sensor network technology, sensor networks have been adopted in pollution monitoring works. In this paper, a survey on researches of pollution monitoring using sensor networks in environment protection is given. Firstly, sensors and pollution monitoring network systems are studied. Secondly, different pollution detection methods are analyzed and compared. Thirdly, an overview of state-of-art technologies on pollution source localization is given. Finally, challenges on pollution monitoring using sensor networks are presented.
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45

Liu, Jinyong. "Design of Remote Environmental Monitoring Network Based on Intelligent Sensor Network Address Allocation and Addressing." Journal of Sensors 2021 (December 24, 2021): 1–9. http://dx.doi.org/10.1155/2021/5618538.

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Based on the wireless sensor network, this paper combines node monitoring data with intelligent network address management. Users can view real-time environmental data through a computer or mobile phone and can manually remotely manage the environmental adjustment equipment of the network address through the mobile phone. This article first discusses the research background of the subject, introduces the current domestic and foreign research status of WSN in environmental detection, and analyzes the reasons for choosing ZigBee network as the wireless transmission environment of the intelligent monitoring system. Secondly, the structure, layered model, and key technologies of wireless sensor networks are introduced, and it is pointed out that ZigBee technology, which has the characteristics of low power consumption, reliable communication, self-organization of the network, strong self-healing ability, and low cost, is very suitable for application in the environment. Then, it analyzes TI’s protocol stack Z-Stack based on the ZigBee2006 standard and analyzes the network address assignment and addressing in Z-Stack, the process and steps of node binding, the routing mechanism and routing maintenance, and channel configuration. The realization of other functions was discussed in depth. During the simulation experiment, in the hardware design of the intelligent monitoring system, the network node was divided into two parts: the core board and the backplane. The crystal oscillator, power supply, antenna, and I/O port circuits of the core board were designed, and the data acquisition, relay, and power supply of the backplane were designed. Finally, this paper studies the data security issues in the environmental monitoring network and proposes two solutions to control network access and data encryption. Experimental results show that in terms of low-power design, the energy of the entire system is calculated to determine the factors that affect the power consumption of the system and methods such as increasing the node sleep time to ensure that the system can work for a long time.
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46

Sheng, Shi Yue, Jian Yi, and Qing Yuan Zhu. "Data Transmission System Design for Environmental Monitoring System Based on 3G Network." Advanced Materials Research 846-847 (November 2013): 831–35. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.831.

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As the accelerated development of the existing mobile communications and Internet integration, high-speed mobile access and Internet Protocol-based service become mature for different kinds of applications, which provide a great convenience for the remote wireless monitoring, mobile data transmission and so on. In this paper, an environmental monitoring data transmission system based on 3G networks is designed to transmit environmental data which is collected through sensors to server-side. The data transmission system is functioning with remote data transmission, and monitoring data reviewing at remote terminal any time. Scientific monitoring data can accurately, timely and comprehensively reflect of the various environmental parameters on-site detection status. The system components of environment monitoring platform based on virtual instrument is introduced firstly. Then, the network transmission system scheme based on Socket communication is proposed. Finally, the data transmission between LabVIEW application of monitoring terminal and PHP application of server-side through Socket interface is achieved. This system transmits well, and queries conveniently. It is safe and timely while being applied in environmental monitoring data transmission.
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Cheng, Zhi Guo, Jun Pan, and Su Xian Chen. "Optimal Design of the Wireless Sensor Network on Environmental Monitoring." Applied Mechanics and Materials 687-691 (November 2014): 779–82. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.779.

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Wireless Sensor Network (WSN) is becoming increasingly important for environmental monitoring.However, there is seldom applications that address the data sharing standard and interoperability among different applications.In this paper, we present a gateway system for wireless sensor network based on environmental monitoring. Resource sharing and long-distance accessing are important issues for application of wireless sensor network and environmental monitoring.
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48

Novokreschenova, Regina, and Olga Nikolaeva. "RELEVANCE OF ENVIRONMENTAL MONITORING OF MUNICIPAL WATER OBJECTS." Interexpo GEO-Siberia 4, no. 2 (2019): 112–17. http://dx.doi.org/10.33764/2618-981x-2019-4-2-112-117.

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The article substantiates the relevance of detailing the existing network of state monitoring of water objects by forming an additional observation network for water objects being in municipal ownership. A brief description of the existing observation network of surface water monitoring carried out by Roshydromet is given. The main documents regulating the order of surface water monitoring are listed. The insufficient coverage of water bodies in municipal ownership by the observation program was noted. The layout of surface water monitoring stations in the Novosibirsk Region, confirming this fact, is given. The main types of water bodies that are the municipal ownership are listed. The list of the water objects that are the municipal property of Novosibirsk is resulted. The fact of active economic and recreational use of these objects that contradicts the municipal legislation and safety requirements is noted. A list of the possible use of these facilities for the benefit of the municipality is stated. Conclusions about the need for the formulation of water bodies in municipal ownership, cadastral registration for their effecient use in the economy are drawn. The main types of work planned to solve this problem are listed.
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49

Misiunas, D., J. Vítkovský, G. Olsson, M. Lambert, and A. Simpson. "Failure monitoring in water distribution networks." Water Science and Technology 53, no. 4-5 (February 1, 2006): 503–11. http://dx.doi.org/10.2166/wst.2006.154.

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An algorithm for the burst detection and location in water distribution networks based on the continuous monitoring of the flow rate at the entry point of the network and the pressure at a number of points within the network is presented. The approach is designed for medium to large bursts with opening times in the order of a few minutes and is suitable for networks of relatively small size, such as district metered areas (DMAs). The burst-induced increase in the inlet flow rate is detected using the modified cumulative sum (CUSUM) change detection test. Based on parameters obtained from the CUSUM test, the burst is simulated at a number of burst candidate locations. The calculated changes in pressure at the pressure monitoring points are then compared to the measured values and the location resulting in the best fit is selected as the burst location. The EPANET steady-state hydraulic solver is utilised to simulate the flows and pressures in the network. A sensitivity-based sampling design procedure is introduced to find the optimal positions for pressure monitoring points. The proposed algorithm is tested on a case study example network and shows potential for burst detection and location in real water distribution systems.
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50

Lin, Qijing, Fuzheng Zhang, Weile Jiang, and Hao Wu. "Environmental Monitoring of Ancient Buildings Based on a Wireless Sensor Network." Sensors 18, no. 12 (December 2, 2018): 4234. http://dx.doi.org/10.3390/s18124234.

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Environmental monitoring plays an important role in the preventive protection of ancient buildings, although it is still in the prototype stage. In order to provide data support for the protection of ancient buildings, an environmental monitoring system with multi-sensor and multi-node for the interior and exterior of ancient buildings is designed and realized, based on ZigBee, TCP/IP, and intranet penetration technology. The new type of indoor node package box and outdoor package device are designed to meet the needs of different types of sensors. The monitoring platform is developed on the strength of the LabView so as to obtain real-time display, storage, and over-limit warning functions for local and remote monitoring data. It also proves that the monitoring system is stable and reliable by monitoring the actual ancient building with a brick (stone) structure.
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