scholarly journals Network Latency in Systems Event Monitoring for Multiple Locations

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Lukasz Kufel
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Wide Area ◽  
Wide Area Networks ◽  
Event Monitoring ◽  
Geographic Locations ◽  
Impact Monitoring ◽  
Network Latency ◽  
Events Data

Network latency is one of the key parameters to consider when designing and implementing remote monitoring for security and system events. This paper describes how network latency may impact monitoring over wide area networks, especially when the monitoring system is hundreds or thousands of miles away from the monitored servers. Furthermore, an idea of local distributor is proposed to reduce the time of events data collection from multiple geographic locations.

A Design of the Environment Monitoring System

2015 ◽  
Vol 730 ◽  
pp. 195-198
Author(s):  
Chun Yan Xie
Keyword(s):  
Data Collection ◽  
Environmental Monitoring ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Environment Monitoring ◽  
Long Distance ◽  
Distance Control ◽  
Environmental Monitoring System ◽  
Gsm Network

In order to improve the deficiency of environmental monitoring system in real-time, remote monitoring and other aspects, this paper designs an environmental monitoring system based on MCU and GSM network. It designs the struture diagram of the system and analyzes the procedure of data collection and transmission. This system achieves net control and long-distance control of the environmental monitoring.

Research on Pollutant Emission CEMS Remote Monitoring System Based on WEB and CAN Bus

2014 ◽  
Vol 908 ◽  
pp. 473-476
Author(s):  
Yan Jun Zhao ◽  
Cheng Bin Gao ◽  
Bin Qu
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Data Transmission ◽  
Measurement Method ◽  
Can Bus ◽  
Pollutant Emission ◽  
Emission Data ◽  
Remote Monitoring System ◽  
Stationary Source

The remote monitoring system is widely applied. The pollutant stationary source is distributed widely, so the pollutant emission status of the stationary source is difficult to on-time monitoring by EPA. The pollutant emission status remote monitoring system based on WEB and CAN bus is brought out in the paper. The remote monitoring system includes pollutant emission data collection unit, data transmission unit and EPA management unit. Soot emission concentration measurement method of the remote monitoring system adopts the Transmission-Scattering method and gaseous pollutant emission concentration measurement method adopts NDIR. The pollutant emission concentration data is collected by data collection unit and sent to data transmission unit through CAN bus. The pollutant emission data is sent to EPA management unit through WEB. The experiment result indicates that the remote monitoring system can on-line monitoring the pollutant emission status of the stationary source and improves the communication efficiency and accuracy.

scholarly journals LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5044
Author(s):  
Mehran Behjati ◽  
Aishah Binti Mohd Noh ◽  
Haider A. H. Alobaidy ◽  
Muhammad Aidiel Zulkifley ◽  
Rosdiadee Nordin ◽  
...  
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Large Scale ◽  
Service Providers ◽  
Wide Area ◽  
Management Approach ◽  
Communication Link ◽  
Reliable Communication ◽  
Wide Range ◽  
Smart Farming

Currently, smart farming is considered an effective solution to enhance the productivity of farms; thereby, it has recently received broad interest from service providers to offer a wide range of applications, from pest identification to asset monitoring. Although the emergence of digital technologies, such as the Internet of Things (IoT) and low-power wide-area networks (LPWANs), has led to significant advances in the smart farming industry, farming operations still need more efficient solutions. On the other hand, the utilization of unmanned aerial vehicles (UAVs), also known as drones, is growing rapidly across many civil application domains. This paper aims to develop a farm monitoring system that incorporates UAV, LPWAN, and IoT technologies to transform the current farm management approach and aid farmers in obtaining actionable data from their farm operations. In this regard, an IoT-based water quality monitoring system was developed because water is an essential aspect in livestock development. Then, based on the Long-Range Wide-Area Network (LoRaWAN®) technology, a multi-channel LoRaWAN® gateway was developed and integrated into a vertical takeoff and landing drone to convey collected data from the sensors to the cloud for further analysis. In addition, to develop LoRaWAN®-based aerial communication, a series of measurements and simulations were performed under different configurations and scenarios. Finally, to enhance the efficiency of aerial-based data collection, the UAV path planning was optimized. Measurement results showed that the maximum achievable LoRa coverage when operating on-air via the drone is about 10 km, and the Longley–Rice irregular terrain model provides the most suitable path loss model for the scenario of large-scale farms, and a multi-channel gateway with a spreading factor of 12 provides the most reliable communication link at a high drone speed (up to 95 km/h). Simulation results showed that the developed system can overcome the coverage limitation of LoRaWAN® and it can establish a reliable communication link over large-scale wireless sensor networks. In addition, it was shown that by optimizing flight paths, aerial data collection could be performed in a much shorter time than industrial mission planning (up to four times in our case).

scholarly journals Intellectual beehives monitoring system

2019 ◽  
pp. 59-65
Author(s):  
Leonty Rustemovich Grigoryan ◽  
Maxim Sergeevich Kovalenko ◽  
Anastasia Leontyevna Grigoryan ◽  
Dmitry Yuryevich Paroshin
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Software Components ◽  
Collection System ◽  
Weather Factors ◽  
Data Collection System ◽  
Cloud Technologies ◽  
Remote Data

A system for remote monitoring of the parameters of bee hives is considered. The problem of remote monitoring at long distances, taking into account the changing weather factors, is very relevant. Among the variety of hardware for keeping bees, there is currently no unified monitoring system. The studies carried out allowed us to determine the optimal circuitry and software components of the construction of a monitoring system. The result of the development of a system with a local hive monitoring system and a remote data collection system using cloud technologies is presented in this work.    

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