Abstract
Accurate estimation of a neighbor’s evolving position is essential to enhancing safety in intelligent transport systems. A vehicle can estimate a neighbor’s evolving position via periodic beaconing wherein each vehicle periodically broadcasts a beacon including its own kinematic data (e.g., position, speed, and acceleration). Many researchers have proposed analytic models to describe periodic beaconing in vehicular ad-hoc networks (VANETs). However, those models have focused only on network performance, e.g., packet delivery ratio (PDR), or a delay, which fail to evaluate the accuracy of estimating a neighbor’s evolving position. In this paper, we present a new analytic model capable of providing an estimation error of a neighbor’s evolving position in VANET to assess the accuracy of the estimation. This model relies on a vehicle system using periodic beaconing and a constant speed and position estimator (CSPE) to estimate a neighbor’s evolving position. To derive an estimation error, we first calculate the estimation error using a simple equation, which is associated with a probability of successful reception. Then, we derive the probability of successful reception that is applied onto the error model. To our knowledge, this is the first paper to establish a mathematical model to assess the accuracy of estimating a neighbor’s evolving position. To validate the proposed model, we compared the numerical results of the model with those of the NS-2 simulation. We observed that numerical results of the proposed model were located within the 95% confidential intervals of simulations results.
Highlights
Vehicular ad-hoc networks (VANETs) are the driving force for realizing intelligent transport systems such as vehicular safety systems and autonomous driving systems
(a) Error in estimating VEH 2’s position by VEH 1 is 0.75 m (b) Error in estimating VEH 2’s position by VEH 1 is 0.5 m. To address this limitation of previous models, in this paper, we propose a new analytic model for an estimation error of a neighbor’s evolving position in VANET (The estimated position is the absolute position of the neighbor)
We proposed a novel analytic model for estimating the error of a neighbor’s evolving position in VANET
Summary
Vehicular ad-hoc networks (VANETs) are the driving force for realizing intelligent transport systems such as vehicular safety systems and autonomous driving systems. The limitation of the previous models involves focusing only on network performances (e.g., PDR and delay) that fail to evaluate the accuracy of estimating a neighbor’s evolving position in intelligent transport systems. To derive the estimation error, we consider that a vehicle estimates a neighbor’s evolving position using a constant speed and position estimator (CSPE) and kinematic data of the beacon received from the neighbor. To the best of our knowledge, this is the first attempt to establish an analytic model for evaluating the accuracy of estimating a neighbor’s evolving position in VANET. We establish the first analytic model for expressing an estimation error of a neighbor’s evolving position to evaluate the accuracy of the estimation.
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