ZigBee Wireless Sensor Research Articles

Optimization of Water Microbial Concentration Monitoring System Based on Internet of Things

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things (IoT), and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device.

Development of a hybrid type smart pen piezoelectric energy harvester for an IoT platform

We propose a smart pen piezoelectric energy harvester (SP-PEH) that simultaneously produces energy in both d31 and d33 modes during writing. Two piezoelectric devices were installed in SP-PEH, a cantilever type device and an impact type device. With preliminary Fast Fourier Transform analysis on the writing conditions, power generation tests were conducted. For cantilever type, the harvester generated instantaneous maximum power of 1.5 μW (3 MΩ) at a writing frequency of 3 Hz (most frequent value during actual writing) and a writing length of 12.5 mm. For impact type, it generated 2.6 μW at a load resistance of 5 MΩ. With those power generations, the stored energy in the two capacitors were 1 μJ (47 μF, cantilever type) and 0.05 μJ (220 μF, impact type) separately for 10 s, and a total energy of 3.1 μJ (about 3 times higher than sum of two types) was stored in an actual writing test because of movement in all directions rather than just a single direction. The proposed device successfully turned on a ZigBee wireless sensor after 10 s, which confirmed the possibility of the battery-less smart pen that harvests energy and collects and transmits environmental and biological data from writing.

Wearable heart rate monitoring intelligent sports bracelet based on Internet of things

Abstract Aiming at the shortcomings of traditional health monitoring equipment, such as large size, not easy to carry, this paper proposes a wearable heart rate monitoring intelligent sports bracelet monitoring system based on the Internet of things, which is used to monitor the user's changes in the human heart rate during sports. Through the Internet of things technology, ZigBee wireless sensor, Bluetooth and other communication technologies, data will be transmitted to personal terminal PC or only mobile phone for real-time monitoring, storage and analysis. The Internet of things communication network technology is used to transmit the data to the monitoring terminal platform. After the processing and analysis of the data, the abnormal data will be given an alarm in time to realize the monitoring of the heart rate health status of mobile personnel in the process of movement.

Research on Control System of Intelligent Greenhouse of IoT Based on Zigbee

With the updating of science and technology, the development of modern agricultural technology in China is also progressing. The research of intelligent greenhouse control system has far-reaching significance. Greenhouse control system should meet the function demands of data acquisition, data transmission and remote monitoring. In this paper, the overall control structure of greenhouse is formulated within the framework of Internet of Things technology, which is divided into perception layer, transmission layer and application layer. Based on the architecture of Internet of Things and Zig Bee wireless sensor network technology, this paper designs four modules of the control system, including login management module, data display module, remote control module and system management module. The greenhouse control system of the Internet of Things is tested and analysed and the experimental results show that the system can achieve the expected effect of greenhouse.

A Fuzzy Indoor Positioning System with ZigBee Wireless Sensors

This paper presents an indoor positioning system (IPS) by using fuzzy estimation technique. The research aims to design an IPS with high stability, high accuracy and high reliability. The received signal strengths (RSS) sensed by ZigBee wireless sensors were used to estimate the object’s position. All studies were experimented at a 10x10 square meters’ indoor field. In all experiments, 361 positions (features) were estimated. From the experimental results shown, the fuzzy positioning technique proposed has the high accurate estimation even RSS signals are unstable. It is also clearly found that the positioning accuracy could be greatly improved when more wireless sensors are used in IPS.

Envisaging Performance Metrics of ZigBee Wireless Sensors by Topology Variations

The IEEE 802.15.4 the ZigBee protocol finds numerous applications for commercial buildings and home automation, security, healthcare, medical monitoring, vehicle monitoring, agriculture and environmental monitoring etc. In this paper we have evaluated the effect of topologies variation i.e. Tree, Star and Mesh on load, delay and throughput in different bands using Zigbee wireless sensors by means of OPNET modeler. It is observed that star, tree and mesh topologies have less delay and maximum throughput in 2450MHz band as compared to other bands i.e. 915MHz and 868MHz. The obvious reason for this observation can be less resource overheads in 2450MHz band than other two bands resulting in better network metrics.

Information Collection System of Electrical Equipment

Zig Bee is a focus on low-power, low-cost, low-complexity, low-rate short-range wireless network communication technology; it can well solve the high cost and poor real-time of wired data acquisition system. This paper presents a program to build environmental remote monitoring system based on Zig Bee wireless sensor network. The program uses TI's wireless RF transceiver chip CC2530 and the amount of the external circuit to design the hardware circuit of the sensor nodes and the coordinator node, and then design application software for sensor nodes and coordinator nodes on the basis of the Zig Bee protocol stack. The test results prove that the system can effectively monitor long-term stability of the environment of electrical equipment.

Prediction of Forest Temperature Microchange by Wireless Sensor Network Technology

ABSTRACT- The forest temperature microchange becomes critically important due to the study of global change. In this paper we develop a novel model to predict the measured data for forest temperature microchange by the wireless sensor network technology. The measurement system includes zigbee and Tmote Sky wireless sensor network system. The model is developed by the temperature second-order differential equation. From the measurement and model analysis, we found the temperature reaches maximum peak at different time due to the different dielectric constant of tree skin. The time difference is in the range of 1 to 2 hours. In model development we also found the distribution of temperature microchange has an exponential function distribution. After comparisons of model prediction with the measured data the correlation coefficient between them is 0.935736. The excellent prediction reaches in this model study. DOI: http://dx.doi.org/10.11591/ijece.v2i5.1340 Full Text: PDF

The ZigBee Based Wireless Sensor and Actor Network in Intelligent Space Oriented to Home Service Robot

In the study of intelligent space oriented to home service robot, an important technology is how to construct an communication network which has the characters of high reliability and easy building. In this paper, based on the characteristics of ZigBee protocol, ZigBee technology is used to construct a wireless sensor and actor network. Several intelligent services based on ZigBee wireless sensor and actor network are shown to certify the reliability of this communication network. ZigBee wireless sensor and actor network builds an information bridge for the components in the intelligent space, the spatially distributed devices are connected together seamlessly. With this network, robot can share the mass information in the intelligent space and improve its performance with “light-packs”, devices in intelligent space, such as lamp, curtain can be controlled autonomously.

Design of Measure Control System for Thermal Defects Based on ZigBee

To measure and control thermal defects of power station, continuous power is provided to the ZigBee wireless temperature sensors by using monocrystalline silicon solar cells and thermoelectric generation modules, which can collect and process the real-time temperatures of high voltage equipments in the station. Simultaneity, the system can solve the problem that overheat faults can not alarm timely when efficiency of solar cell decreases during the continuous rainy days. The remote real-time controlling is realized by using client and server programs of VC + +.NET. The lossless compression and real-time image transmission are implemented through employing the screen grid-division method and the Huffman compression algorithm. All of these provide a technical assurance to the remote controlling of heat vice of high-voltage equipments in multi-stations.

The Typical Wetland Biological Environmental Monitoring System Based on ZigBee and GPRS Wireless Sensor Network

For the complexity of the environment system,a wireless sensor network paradigm based on the technique of ZigBee and GPRS for wetland detection in real time was put forward according to the factors of wetland environment. The architecture of wireless sensor network for wetland environment detection was described also. And the hardware circuit of networks’node was designed based on the chip of CC2430 in this paper , as well as the process of data transmission was discussed in detail . Some environment parameters such as temperature, humidity, etc. in the wetland region can be monitored real-timely. After all, it should be useful for needs of the wetland conservation. Science and technology support projects in Jiangxi Province, Jiangxi Science Planning Projects funded