A High-Performance Vehicle Detection Algorithm for Wireless Sensor Parking Systems

Author(s):  
Hong-Zhong Hui ◽  
Jonathan Backens ◽  
Min Song
2014 ◽  
Vol 543-547 ◽  
pp. 934-937
Author(s):  
Hong He ◽  
Rui Zheng ◽  
Zhi Hong Zhang

In order to solve the parking problems in cities which has loomed large, a vehicle detector applied digital three-axis AMR sensor HMC5843 for parking is proposed in this paper. The application of wireless sensor network technology and vehicle detection algorithm in this system realizes the accurate perception of the vehicle and the accurate judgment of parking space state.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1179
Author(s):  
Carolina Del-Valle-Soto ◽  
Carlos Mex-Perera ◽  
Juan Arturo Nolazco-Flores ◽  
Alma Rodríguez ◽  
Julio C. Rosas-Caro ◽  
...  

Wireless Sensor Networks constitute an important part of the Internet of Things, and in a similar way to other wireless technologies, seek competitiveness concerning savings in energy consumption and information availability. These devices (sensors) are typically battery operated and distributed throughout a scenario of particular interest. However, they are prone to interference attacks which we know as jamming. The detection of anomalous behavior in the network is a subject of study where the routing protocol and the nodes increase power consumption, which is detrimental to the network’s performance. In this work, a simple jamming detection algorithm is proposed based on an exhaustive study of performance metrics related to the routing protocol and a significant impact on node energy. With this approach, the proposed algorithm detects areas of affected nodes with minimal energy expenditure. Detection is evaluated for four known cluster-based protocols: PEGASIS, TEEN, LEACH, and HPAR. The experiments analyze the protocols’ performance through the metrics chosen for a jamming detection algorithm. Finally, we conducted real experimentation with the best performing wireless protocols currently used, such as Zigbee and LoRa.


2021 ◽  
Vol 1748 ◽  
pp. 032042
Author(s):  
Yunxiang Liu ◽  
Guoqing Zhang

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