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http://dx.doi.org/10.6109/jkiice.2020.24.12.1697

Velocity and Distance Estimation-based Sensing Data Collection Interval Control Technique for Vehicle Data-Processing Overhead Reduction  

Kwon, Jisu (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Daejin (School of Electronic and Electrical Engineering, Kyungpook National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.12, 2020 , pp. 1697-1703 More about this Journal
Abstract
Sensor nodes that directly collect data from the surrounding environment have many constraints, such as power supply and memory size, thus efficient use of resources is required. In this paper, in a sensor node that receives location data of a vehicle on a lane, the data reception period is changed by the target's speed estimated by the Kalman filter and distance weight. For a slower speed of the vehicle, the longer data reception interval of the sensor node can reduce the processing time performed in the entire sensor network. The proposed method was verified through a traffic simulator implemented as MATLAB, and the results achieved that the processing time was reduced in the entire sensor network using the proposed method compared to the baseline method that receives all data from the vehicle.
Keywords
Kalman filter; Sensor network; Traffic simulation; Velocity estimation;
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