Simulating a Multi-Vehicle Traffic Sensing System Based on Radio Tomographic Imaging

Jarmo T Wilkens,Anilton S Garcia,Jair A Silva

doi:10.1590/2179-10742016v15i4648

Abstract

One of the most recently developed wireless technologies is Radio Tomographic Imaging (RTI). RTI employs a wireless sensor network that produces images of the change in the electromagnetic field of a monitored area using Received Signal Strength (RSS) measurements. This allows the tracking of device-free objects such as humans and cars. This paper is the first to propose and validate a simulation model that simulates RSS measurements for arbitrary RTI networks, based on the ZigBee communication protocol. The simulation model allows the specification of an RTI network from the ground up, including node positions, network size and geometry and RSS measurement processing. Furthermore, this paper demonstrates the implementation of the simulation model to an enhancement of a recently proposed RTI system, which acts as a roadside surveillance system. The enhancement includes three newly proposed techniques, namely a new weight matrix calculation method, a new node spacing setup and a new vehicle detection method. The simulation results indicate that it is possible to detect both one or two family sized cars simultaneously. Using techniques that reduce RSS variance due to multipath effects and the newly proposed methods, simulated vehicle detection performance is demonstrated to be between 95% and 100%.

Highlights

One of the most recently developed and promising wireless technologies is Radio TomographicImaging (RTI)
1) Single vehicle Simulation results of a single family sized car of 4 meters located on each pixel from 1 to 11 in an arbitrary sub-network is shown in Fig. 6 and Fig. 7, displayed as a line plot and image respectively
This paper proposes a new simulation model that allows the simulation of Received Signal Strength (RSS) data in arbitrary Radio Tomographic Imaging (RTI) networks

Summary

Introduction

One of the most recently developed and promising wireless technologies is Radio TomographicImaging (RTI). It implements the link-channel pair selection method [3] that reduces multipath effects and RSS behavioral characteristics described in literature to obtain a more realistic and accurate simulation model. A. Radio Tomographic Imaging Algorithm The enhanced algorithm employs the same methods as the recently proposed RTI algorithm [6], except that it uses a different WMC method, a node-specific path loss model and a new, but similar pixel-specific threshold technique.

Results

Conclusion