ZigBee WSN Research Articles

Large Scale Air Pollution Monitoring Using Static Multihop Wireless Sensor Networks

In the proposed paper, an effective system for a large-scale air pollution monitoring on a live basis is developed and tested. It is an Audrino based platform equipped with pre-calibrated sensors to sense gases like sulphur dioxide (SO2), carbon monoxide (CO), ammonia (NH3), and particulate matter (PM10) in the air. Audrino board with the gas sensors, global system for mobile communications (GSM) and ZigBee module forms the wireless sensor motes used for the field deployment. Wireless sensor network built with ZigBee links can be scaled up using the GSM connectivity to interface with the external world. Air pollution monitoring is performed using a system of sensor nodes with the help of wireless communication via a ZigBee protocol. We proposed a static wireless sensor network to supervise air contamination level, and a multi-hop algorithm is implemented over ZigBee WSN. Designed low-cost WSN based prototype is tested under various atmospheric conditions which had provided stable and dependable data of air contaminants.

Evaluation Of Mobile ZigBee Technology Performance With Simulation Techniques

ZigBee technology adaptation and use is an emerging wireless communication technology with low power consumption and long battery life. These technology applications include controlling industrial systems, automating home systems, embedded sensing, and many more. Due to ZigBee's low bit rate and low transmission rate, it is necessary to investigate how ZigBee will perform in a heterogeneous situation using a simulation approach. This paper goes on to describe the design and modelling of mobile ZigBee networks with 5, 10, 15, 20, and 25 nodes to evaluate and compare the performance of this wireless sensor network for star topology networks over time. For the resourceful operation of WSN, mobile ZigBee networks with 5, 10, 15, 20, and 25-star topologies were considered. Certain network parameters such as throughput (bits/sec), delay (sec), end-to-end delay (sec), traffic sent (bits/sec), and traffic received (bits/sec) were explored and compared for smooth WSN operation when ZigBee communication protocol was used and modelled with the OPNET simulator. After evaluating all of the required parameters for various scenarios, an acceptable result was obtained for the mobile ZigBee WSN.

Mobile Sensor Networks: What Can Underground Electric Transport Vehicles do in Underground Mine Monitoring?

According to our previous work, we have found that the ZigBee WSN technology and sensors are actually suitable for the underground monitoring, but there are still many problems. So in this viewpoint paper, we showed our viewpoint that the underground driver-less electric transport vehicles could also play an important role in the underground monitoring, that is, underground electric transport vehicles running in the mine roadway could carry mobile sensors to monitor the environmental conditions in the transport roadway. If it could be realized, it will save the number of sensors installed around the mine so as to reduce costs. If it could be realized, the monitoring of underground mines will become more convenient.

Intelligent Ventilation Systems in Mining Engineering: Is ZigBee WSN Technology the Best Choice?

With the continuous development and progress of the mining industry, various technologies in mining engineering have gradually developed towards the intelligent stage, and the ventilation system is no exception. Since ancient times, mine ventilation has been a necessary part of mining engineering, and so the optimization of mine ventilation undoubtedly plays a great role in mining production. This two-part opinion paper briefly introduces the development of the intelligent ventilation in mining engineering and serves as a guide to the Tossing out a brick to get a jade gem, with implications for both the development and the future of the underground mine ventilation systems. Finally, in the second part of the paper, we explain why we think ZigBee WSN technology is the best choice in intelligent ventilation systems in underground mines at the present stage.

Engineering Project: The Method to Solve Practical Problems for the Monitoring and Control of Driver-Less Electric Transport Vehicles in the Underground Mines

With the continuous development of Artificial Intelligence technology and Internet of Things engineering, more and more driver-less vehicles have been developed and put into industrial production. The birth of driver-less vehicles undoubtedly brings new vitality to a large amount of industries, particularly in transportation. For the mining industry, transportation is undoubtedly an extremely important link in the whole production process. If the driver-less vehicles can be applied to the underground mines, it can not only improve the production and transportation capacity of the whole mine but also can reduce the occurrence of many mine safety accidents. ZigBee WSN technology can play a greater role in the narrow environment such as underground mines according to the relevant literature; this concept paper, similar to an engineering project plan, mainly tries to integrate the ZigBee WSN technology and the communication-based train control (CBTC) system to explore the possibility of the driver-less vehicles to be used in the underground mines, which aims to solve practical engineering problems for the engineering projects. As the mining engineers, we put forward the concept of this integrated system in this concept paper, but we need to continue to work hard for the future of the underground mines. This concept paper serves as a guide to Tossing out a brick to get a jade gem, and it has a few implications for the development of underground mine transportation.

Large scale air pollution monitoring using static multi-hop wireless sensor networks

In the proposed paper, an effective system for a large-scale air pollution monitoring on a live basis is developed and tested. It is an Audrino based platform equipped with pre-calibrated sensors to sense gases like sulphur dioxide (SO2), carbon monoxide (CO), ammonia (NH3), and particulate matter (PM10) in the air. Audrino board with the gas sensors, global system for mobile communications (GSM) and ZigBee module forms the wireless sensor motes used for the field deployment. Wireless sensor network built with ZigBee links can be scaled up using the GSM connectivity to interface with the external world. Air pollution monitoring is performed using a system of sensor nodes with the help of wireless communication via a ZigBee protocol. We proposed a static wireless sensor network to supervise air contamination level, and a multi-hop algorithm is implemented over ZigBee WSN. Designed low-cost WSN based prototype is tested under various atmospheric conditions which had provided stable and dependable data of air contaminants.

Mine Fire Safety Monitoring in Underground Metal Mines: Is Zigbee Wireless Sensor Networks Technology the Best Choice?

Mine fire is a very common and serious problem in mining engineering, and often causes casualties, equipment losses, mine shutdown, resource destruction, and even sulphide dust explosion. So it is of vital importance to monitor mine fire in the engineering projects in order to prevent economic losses and casualties. Actually, we have done a lot of engineering projects on mine fire monitoring and have seen a variety of monitoring systems in underground metal mines. Unmodestly speaking, we are experts in this field, therefore, in this viewpoint paper, we mainly introduce a few mine fire monitoring methods and technologies according to our practical engineering experience, especially the ZigBee WSN technology and sensors. And in the end of the paper, we have explained “Why is ZigBee WSN technology the best choice in the fire monitoring in the underground metal mines at the present stage?”.

Road Safety and Energy Saving Proposed System: A Zigbee WSN Approach

The problem of long bended routes in Kingdom of Saudi Arabia (KSA) is one of the annoying problems that harvest a big number of vitalities annually. The problem relays under the fact that these long bended route are in shortage for lighting because of its extremely high cost. Therefore, in this paper, a system will be proposed as a smart alerting system based on ZigBee sensor network. The proposed system targets the roads with weak lights at night time in order to reduce the number of accidents which may occur on such dangerous roads. A number of real experiments were conducted using ZigBee sensor nodes in order to test the efficiency and reliability of the proposed system. Through real experiments, it was demonstrated that the proposed system offers reasonable response time, and achieves low power consumption.

The Control System of Test Bench for Thermal Insulating Properties of Building Doors and Windows Based on Fuzzy-PID Control

According to many temperature measuring points, the large delay, nonlinear and time-varying characteristics of the temperature control system of test bench for thermal insulating property, By combining fuzzy-PID control technology with Zigbee WSN technology, a design scheme of the automatic control system of test bench for thermal insulating properties of building doors and windows is put forward, which is low-cost and high precision. The microprocessor of sensor node adopts CC2530 wireless MCU. The system adopts Zigbee wireless network and RS-485 bus to transmit digital temperature and humidity signals, and is no wiring, intermediate links are lessened, transmission error is reduced and temperature measuring accuracy is improved. By adopting Fuzzy-PID control, the self-adaptability of controller and the precision of temperature control is improved.

Forward of Special Issue on “Mobile System, Agent Technology, and Web Services”

Forward of Special Issue on “Mobile System, Agent Technology, and Web Services”