A vehicle detection algorithm based on wireless magnetic sensor networks

2014 ◽  
Author(s):  
Zhiqiang He ◽  
Hongmei Zhu ◽  
Fengqi Yu
Keyword(s):  
Sensor Networks ◽  
Vehicle Detection ◽  
Detection Algorithm ◽  
Magnetic Sensor

A Parking Vehicle Detection Algorithm Using Magnetic Sensor

2013 ◽  
Vol 409-410 ◽  
pp. 1353-1356
Author(s):  
Zu Sheng Zhang ◽  
Hua Qiang Yuan ◽  
Liang Chen
Keyword(s):  
Vehicle Detection ◽  
Detection Algorithm ◽  
Magnetic Sensor ◽  
Sensor Nodes ◽  
One Year ◽  
Better Than

In this work, a parking vehicle detection algorithm using magnetic sensor is proposed. Eighty-two sensor nodes are deployed to evaluate the performance of the algorithm. By running the system for more than one year, we observe the vehicle detection accurate rate is better than 98%.

scholarly journals A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

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 ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Performance Metrics ◽  
Low Cost ◽  
Detection Algorithm ◽  
Anomalous Behavior ◽  
Wireless Sensor ◽  
Jamming Detection ◽  
Minimal Energy Expenditure

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.

scholarly journals Vehicle detection algorithm based on LW-SSD

2021 ◽  
Vol 1748 ◽  
pp. 032042
Author(s):  
Yunxiang Liu ◽  
Guoqing Zhang
Keyword(s):  
Vehicle Detection ◽  
Detection Algorithm
Sign in / Sign up

Export Citation Format

Share Document