Vehicular Node Localization Using Received-Signal-Strength Indicator

Abstract

Vehicle-to-vehicle communications via dedicatedshort-range-communication (DSRC) devices will enable safety applications such as cooperative collision warning. These devices use the IEEE 802.11p standard to support low-latency vehicleto-vehicle and vehicle-to-infrastructure communications. However, a major challenge for the cooperative collision warning is to accurately determine the location of vehicles. In this paper, we present a novel cooperative-vehicle-position-estimation algorithm which can achieve a higher accuracy and more reliability than the existing global-positioning-system-based positioning solutions by making use of intervehicle-distance measurements taken by a radio-ranging technique. Our algorithm uses signal-strengthbased intervehicle-distance measurements, vehicle kinematics, and road maps to estimate the relative positions of vehicles in a cluster. We have analyzed our algorithm by examining its performance-bound, computational-complexity, and communicationoverhead requirements. In addition, we have shown that the accuracy of our algorithm is superior to previously proposed localization algorithms.Index Terms-Dedicated short-range communication (DSRC), IEEE802.11p, localization, position estimation, vehicular networks, wireless access in vehicular environment, wireless communication.

Self-Correcting Localization Scheme for Vehicle to Vehicle Communication

“…The works in [9] and [11] have introduced localization schemes based on the basic RSSI model. The basic RSSI model can only operate well with high density of vehicular nodes with GPS; for example, a vehicular node requires at least three nearby nodes with GPS to estimate its location and that is unguaranteed all the time.…”

“…Many research works have been introduced in node localization using radio ranging techniques for sensor networks such as [6], [7] and [8] and for vehicular ad hoc networks such as [9], [10] and [11]. The existing solutions for vehicular ad hoc networks estimate node location using basic analytical model for received signal strength indicator (RSSI) by different manners.…”

Message Dissemination in VANET: Protocols and Performances

“…It can also be evaluated from the radio signal strength at the receiver. Examples of this solution are described in [4][5]. Let d denote the distance separating the sender and the receiver.…”

Improved low cost GPS localization by using communicative vehicles

“…In [10], different methods to solve this problem of radio ranging in the DSRC context are presented such as Received Signal Strength (RSS), Time of Arrival (TOA), and Time Difference of Arrival (TDOA) for distance estimation between communicative vehicles. For example, Parker et al [11] use RSS based intervehicle-distance measurements, vehicle kinematics, and road maps to estimate the relative positions of vehicles in a cluster. In [12], RSS and TOA are conjointly for indoor localization.…”