scholarly journals In/Out Status Monitoring in Mobile Asset Tracking with Wireless Sensor Networks

Sensors ◽  
2010 ◽  
Vol 10 (4) ◽  
pp. 2709-2730 ◽  
Author(s):  
Kwangsoo Kim ◽  
Chin-Wan Chung
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Status Monitoring ◽  
Asset Tracking

scholarly journals A Localization Model Based on Irregular Quadrilateral for Wireless Sensor Networks

2013 ◽  
Vol 347-350 ◽  
pp. 1000-1005
Author(s):  
Feng Jun Shang ◽  
Hong Xia Gao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Reference Sample ◽  
Wireless Sensor ◽  
Good Effect ◽  
Localization Algorithm ◽  
Model Based ◽  
Asset Tracking ◽  
Localization Model ◽  
Unknown Node

Localization is used in location-aware applications such as navigation, autonomous robotic movement, and asset tracking to position a moving object on a coordinate system. In this paper, we present a localization model based on the irregular quadrilateral in wireless sensor networks. Firstly, a quadrilateral-positioning unit is presented. It may prevent the unknown node falls into the external of positioning unit. Lastly, we use RSSI value to find the nearest reference sample nodes from unknown node, compared with the SBL localization algorithm, our algorithm improve the positioning accuracy. Theoretical analysis and simulation results show that the algorithm in wireless sensor networks and other location-based applications have a good effect.

scholarly journals Optimal Energy Resources Allocation Method of Wireless Sensor Networks for Intelligent Railway Systems

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 482 ◽  
Author(s):  
Sheng Bin ◽  
Gengxin Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Resources ◽  
Wireless Sensor ◽  
Resources Allocation ◽  
Railway Systems ◽  
Status Monitoring ◽  
Optimal Energy ◽  
Allocation Method ◽  
Coverage Model

The rapid increase of train speed has brought greater challenges to the safety and reliability of railway systems. Therefore, it is necessary to monitor the operation status of trains, infrastructure, and their operating environment in real time. Because the operation environment of railway systems is complex, the construction cost of wired monitoring systems is high, and it is difficult to achieve full coverage in the operation area of harsh environments, so wireless sensor networks are suitable for the status monitoring of railway systems. Energy resources of nodes are the basis of ensuring the lifecycle of wireless sensor networks, but severely restrict the sustainability of wireless sensor networks. A construction method of special wireless sensor networks for railway status monitoring, and an optimal energy resources allocation method of wireless sensor networks for intelligent railway systems are proposed in this paper. Through cluster head selection and rotating probability model, clustering generation and optimization model, and partial coverage model, the energy consumption of nodes can be minimized and balanced. The result of simulation experiment proved that the lifetime of wireless sensor networks can be maximized by the optimal energy resources allocation method based on clustering optimization and partial coverage model, based on polynomial time algorithm.

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