In this paper we describe a self-organizing framework for dis- tributed target tracking built on ad hoc publish-subscribe ... TRACKING ALGORITHM TRAFFIC MODEL.

In this paper we describe a self-organizing framework for distributed target tracking built on ad hoc publish-subscribe data routing techniques. A cellular ...

In this paper we describe a self-organizing framework for distributed target tracking built on ad hoc publish-subscribe data routing techniques. A cellular ...

In this paper we describe a self-organizing framework for distributed target tracking built on ad hoc publish-subscribe data routing techniques. A cellular ...

In this paper we demonstrate performance evaluation results of our proposed cluster-based target tracking algorithms in various scenarios. Also, a ...

The research showed that ON periods length and packet rate during ON periods take strong effect on the aggregated traffic in the target tracking USN. On the ...

Griffin, Traffic model evaluation of ad hoc target tracking algorithms, International Journal of High. Performance Computing Applications, 16 (2002), 221–234 ...

Sep 11, 2024 · This paper aims to comprehensively review deep learning algorithms and classical models employed in traffic forecasting. Spanning diverse ...

Sep 3, 2019 · The purpose of this thesis is to investigate how non-causal algorithms affects target track- ing performance using multiple sensors and dynamic ...

In this paper, a robust Multiple Targets Tracking (MTT) algorithm exploiting the clouds of points collected from a mmWave-FMCW radar is presented.