2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jianjun Liu

With the continuous development of social economy, information resources have become more and more valued resources. Based on the intelligent monitoring architecture of the multimedia sensor network, this article proposes a nonline-of-sight positioning method that can fit the characteristics of autonomous movement for the object of intelligent terminal, that is, first draw the corresponding position trajectory according to the speed attribute of the node. On this basis, according to the relative position trajectory and radio frequency signal positioning, the two-by-two positioning of position and direction is comprehensively realized, and the positioning result is obtained; the positioning accuracy is evaluated according to the positioning of the radio frequency signal, and the false positioning result of the distorted radio frequency signal is stripped out to reduce the error influences. Practical results show that the method is effective and can meet the needs of positioning accuracy.


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.


2012 ◽  
Vol 220-223 ◽  
pp. 929-933 ◽  
Author(s):  
Jun Cai ◽  
Shuang Long Zhang ◽  
Yi Zhang

In this paper, a positioning system based on smart space wireless sensor network platform is designed and a positioning method of RSSI-based wireless sensor network is studied. The intelligent wheelchair as a blind node in the smart space positioning system is used to collects adjacent the reference node coordinates and RSSI value. The blind node coordinates can be calculated by CC2431 location engine to achieve a wireless location. The test results show that: positioning error of the node is about 1 meter, so it has the potential to satisfy the application of the intelligent wheelchair indoor positioning.


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