Research of Greenhouse Environment Monitoring System

2014 ◽  
Vol 1030-1032 ◽  
pp. 1509-1512
Author(s):  
Chao Wang ◽  
Jian Ma
Keyword(s):  
Wireless Sensor Networks ◽  
Graphical User Interface ◽  
Rapid Development ◽  
Co2 Concentration ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Environment Factor ◽  
Wireless Interfaces ◽  
Embedded Technique ◽  
Internet Of Things Technology

With the rapid development of Wireless Sensor Networks (WSN) and embedded technique, especially the widely application of Internet of Things technology, more and more attention has been paid in greenhouse monitor field. The aims design of system depends significantly on the application, and it must consider factors such as temperature, humidity, light intensity, co2 concentration and other environmental factors. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. All the environment factor information gathers by PC and embedded device, and people also can control them through Graphical User Interface (GUI).

Design of Environment Monitoring System Based on CAN Bus and Wireless Sensor Networks for Greenhouse

2014 ◽  
Vol 1049-1050 ◽  
pp. 1163-1166
Author(s):  
Bo Chang ◽  
Xin Rong Zhang ◽  
Li Hong Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Can Bus ◽  
Environmental Parameters ◽  
Wireless Sensor ◽  
Area Network ◽  
Environment Monitoring ◽  
Effective Solution ◽  
Greenhouse Crops ◽  
Backbone Network

In order to accurately collect the environmental parameters (such as temperature, humidity, illumination, etc.), which influence growth of greenhouse crops, the paper proposed a design for greenhouse environment monitoring based on CAN bus and wireless sensor networks (WSNs). The communication network of the system consists of two parts: the backbone network being constructed by CAN bus and area network being constructed by WSNs. At the same time, the designed of hardware and software about the system is illustrated in detail. System architecture indicates that the system is an effective solution for greenhouse environment monitoring.

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

scholarly journals Research on 5G-Oriented Wireless Sensor Array of Millimeter Hybrid Beam Sensing Terminal

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shengli Yan
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Rapid Development ◽  
Mobile Internet ◽  
Projection Algorithm ◽  
Wireless Sensor ◽  
Digital Beamforming ◽  
Hybrid Beam ◽  
Hybrid Beamforming ◽  
Internet Of Things Technology

With the rapid development of information technology, facing the problems and new challenges brought by mobile Internet and Internet of things technology, as one of the key technologies of 5G, millimeter-wave mobile communication (28/38/60/70 GHz) which can realize gigabit (GB/s, or even higher) data transmission rate has also attracted extensive attention of wireless researchers all over the world, it has quickly become a research hotspot in the field of wireless communication. In the millimeter-wave massive MIMO downlink wireless sensor system, a block diagonal beamforming algorithm based on the approximate inverse of Neumann series is improved to obtain complete digital beamforming. Then, when designing hybrid beamforming, channel estimation and high-dimensional singular value decomposition are required for traditional analog and digital hybrid beamforming. A low complexity hybrid beamforming scheme is designed. An improved gradient projection algorithm is proposed in the design of analog beamforming, which can solve the problem of high computational complexity and less damage to guarantee and rate. Simulation results show that the hybrid beam terminal of the sensor reduces the number of RF links required for full digital beamforming and is as close to the spectral efficiency performance of full digital beamforming as possible. The results show that the performance of the designed hybrid beamforming scheme can still be close to that of the pure digital beamforming scheme without involving channel estimation and SVD decomposition.

scholarly journals Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW

2011 ◽  
pp. 87-90
Author(s):  
Mrutyunjay Rout ◽  
Dr. Harish Kumar Verma ◽  
Subhashree Das
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Indoor Environment ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Wireless Sensor Nodes ◽  
Local Decision ◽  
Mems Technology

Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communication capabilities. In present work we provide a brief summary of the state-ofthe- art in wireless sensor networks, investigate the feasibility of indoor environment monitoring using crossbow wireless sensor nodes. Here we used nesC programming language and TinyOS operating system for programming Crossbow sensor nodes and LabVIEW GUI is used for displaying different indoor environmental parameters such as temperature, humidity and light acquired from different Wireless sensor nodes. These sensor readings can help building administrators to monitor the physical conditions of the environment in a building for creating optimized energy usage.

scholarly journals Design of a Water Environment Monitoring System Based on Wireless Sensor Networks

Sensors ◽  
2009 ◽  
Vol 9 (8) ◽  
pp. 6411-6434 ◽  
Author(s):  
Peng Jiang ◽  
Hongbo Xia ◽  
Zhiye He ◽  
Zheming Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Water Environment ◽  
Wireless Sensor ◽  
Environment Monitoring

Energy storage options for environment monitoring Wireless Sensor Networks in rural Africa

2018 ◽  
Author(s):  
Maximus Byamukama ◽  
Roseline Akol ◽  
Geofrey Bakkabulindi ◽  
Bjorn Pehrson ◽  
Robert Olsson ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Storage ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Rural Africa

scholarly journals A Fast Neighbor Discovery Algorithm in WSNs

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3319 ◽  
Author(s):  
Liangxiong Wei ◽  
Weijie Sun ◽  
Haixiang Chen ◽  
Ping Yuan ◽  
Feng Yin ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Rapid Development ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Wireless Sensor ◽  
Neighbor Discovery ◽  
Low Duty Cycle ◽  
Discovery Algorithms

With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets much more attention. Neighbor discovery is an indispensable procedure in WSNs. The existing deterministic neighbor discovery algorithms in WSNs ensure that successful discovery can be obtained within a given period of time, but the average discovery delay is long. It is difficult to meet the need for rapid discovery in mobile low duty cycle environments. In addition, with the rapid development of IoT, the node densities of many WSNs greatly increase. In such scenarios, existing neighbor discovery methods fail to satisfy the requirement in terms of discovery latency under the condition of the same energy consumption. This paper proposes a group-based fast neighbor discovery algorithm (GBFA) to address the issues. By carrying neighbor information in beacon packet, the node knows in advance some potential neighbors. It selects more energy efficient potential neighbors and proactively makes nodes wake up to verify whether these potential neighbors are true neighbors, thereby speeding up neighbor discovery, improving energy utilization efficiency and decreasing network communication load. The evaluation results indicate that, compared with other methods, GBFA decreases the average discovery latency up to 10 . 58 % at the same energy budget.

Sign in / Sign up

Export Citation Format

Share Document