Wireless Sensor Network Based Coal Mine Wireless and Integrated Security Monitoring Information System

Author(s):  
Wei Yang ◽  
Ying Huang
Author(s):  
Pankaj Kumar Mishra ◽  
Pratik ◽  
Manish Kumar

Wireless Sensor Network (WSN) has an enormous prospective in hazardous areas such as underground coal mines. However, there is a need to ensure safety while installing WSN in underground coal mine as it is hazardous in nature and WSN radiates Radio Frequency (RF) signals which can be an eminent source of ignition. Henceforth when the underground coal mines are equipped with WSN there is a need to set the threshold limits of different physical parameters in order to eradicate such hazards for enabling safety. Therefore, in the present chapter, attempts have been made to assess the required safety for WSN while installing in underground coal mines. In addition, various types of hazards associated with underground coal mines and their consequences are elaborated in details with a glimpse to mitigate them with the use of WSN.


Author(s):  
A Hendra ◽  
E Palantei ◽  
Syafaruddin ◽  
M S Hadis ◽  
N Zulkarnaim ◽  
...  

2013 ◽  
Vol 340 ◽  
pp. 787-791
Author(s):  
Shu Wei

With the continuous development of economy and science technology, residential area shows the intelligent, humane and diverse development trends, residential security has been paid more and more attention. Community monitoring system provides security living environment for district residents, wireless sensor network technology provides an opportunity for security monitoring system and wireless network. On the foundation of wireless sensor network, constructing the intelligent community security monitoring system, the wireless communication node is designed, to carry out the study of the network communication protocol and algorithm. The experimental results show that this monitoring control system has low power consumption, functional diversity and communication stability, which is applicable to a variety of conditions of community security monitoring.


2013 ◽  
Vol 341-342 ◽  
pp. 1175-1180
Author(s):  
Jin Song Yuan ◽  
Jian Zhang

The technical features of RFID and sensor network, and inherits the RFID radio frequency signal characteristic of automatic target recognition, at the same time, the implementation of a wireless sensor network active perception and communication function. This paper analyzed the wireless sensor network integration of ZigBee and RFID technology; each node can be coordinated in real-time monitoring, sensing and collecting network of regional distribution of a variety of environmental or monitoring information. The paper puts forward the development of wireless sensor network based on ZigBee and RFID technology. Wireless sensor network is Zigbee and GSM is used for data communication based on sensor networks.


2018 ◽  
Vol 14 (05) ◽  
pp. 93
Author(s):  
Jin Wang ◽  
Hua Shao

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">When a wireless sensor network is used to perform real-time security monitoring inside a building, there are drawbacks like multi-path signal fading and difficulty in spectrum sensing. In light of these problems, this paper proposes an improved signal spectrum sensing algorithm based on support vector machine (SVM), which inhibits the impacts brought by the low signal-noise-ratio (SNR) environment in the transmission process of wireless sensor signals through the embedded cyclostationary characteristic parameters. Based on this, considering the low efficiency and poor fault tolerance of multi-task monitoring and scheduling inside the building, this paper also proposes a multi-task coordination and scheduling algorithm based on physical information integration, which achieves multi-task scheduling and execution through intelligent breakdown and prioritization of general tasks. The simulation test shows that, compared with the artificial neural network (ANN) algorithm and the maximum-minimum eigenvalue (MME) algorithm, the proposed algorithm has much better spectrum sensing effect under low SNR, takes less computation time, and achieves higher accuracy in large-scale multi-task coordination and scheduling. The research conclusions can provide new ideas for the application of wireless sensor network in intelligent building security monitoring.</span>


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