An energy-efficient localization algorithm for mobile vehicles in vehicle to vehicle network

Authors:
Lingwen Zhang;Gang Yang
Affiliations:
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100024, China;School of Information Engineering, Communication University of China, Beijing, 100024, China
Venue:
Concurrency and Computation: Practice & Experience
Year:
2012

Citing 7
Cited 1

Localization in time and space for wireless sensor networks: An efficient and lightweight algorithm

Performance Evaluation
Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks

Concurrency and Computation: Practice & Experience - Advances in High-Performance Computing and Communications (HPCC 2008)
Energy efficient and QoS aware medium access control for wireless sensor networks

Concurrency and Computation: Practice & Experience - Performance Evaluation of Communications in Distributed Systems and Web-Based Service Architectures
Subspace-based estimation of time delays and Doppler shifts

IEEE Transactions on Signal Processing
Notes on DSRC & WAVE Standards Suite: Its Architecture, Design, and Characteristics

IEEE Communications Surveys & Tutorials
Smart antenna techniques and their application to wireless ad hoc networks

IEEE Wireless Communications
Position location using wireless communications on highways of the future

IEEE Communications Magazine

(ICICTA 2012)

Concurrency and Computation: Practice & Experience

Quantified Score

Hi-index	0.00

Visualization

Abstract

Traditional vehicle localization is based on global positioning system. However, the global positioning system is limited in shadowed environments such as underground carports, tunnels, and urban zones. This paper describes a vehicle positioning solution in an urban environment with the aid of vehicle to vehicle (V2V) networking, which utilizes the existing roadside sensors of the V2V network. The designed localization scheme is based on angle of arrival measurements. Compared with beamforming, minimum variance distortionless response, and subspace-based methods, an angle of arrival estimation method presented in this paper called sparsity angle sensing, based on a sparse representation of sensor measurements and compressive sensing theory, outperforms the other three methods in spatial resolution and robustness. Then the paper applies the novel angle of arrival estimation algorithm into an energy-efficient localization scheme design in a V2V network. Compared with sensor-based approaches, the proposed scheme relieves the requirements of sensor size and energy consumption, and reduces communication and computation overhead. Simulation results show the effectiveness of the proposed scheme in terms of reducing the positioning error. Copyright © 2011 John Wiley & Sons, Ltd.