TY - JOUR
T1 - Geometry-Based Localization for GPS Outage in Vehicular Cyber Physical Systems
AU - Kaiwartya, Omprakash
AU - Cao, Yue
AU - Lloret, Jaime
AU - Kumar, Sushil
AU - Aslam, Nauman
AU - Kharel, Rupak
AU - Abdullah, Abdul Hanan
AU - Shah, Rajiv Ratn
N1 - Funding Information:
Manuscript received March 6, 2017; revised September 24, 2017; accepted January 17, 2018. Date of publication January 23, 2018; date of current version May 14, 2018. This work was supported by the gLINK project at the Northumbria University, U.K., under EU Grant 2014-0861/001-001-EM Action 2-Partnerships. The review of this paper was coordinated by the the Guest Editors of the Connected Vehicle Series. (Corresponding author: Yue Cao.) O. Kaiwartya, Y. Cao, and N. Aslam are with the Northumbria University, Newcastle NE1 8ST, U.K. (e-mail: [email protected]; [email protected]; [email protected]). J. Lloret is with the Universitat Politecnica de Valencia, Valencia 46022, Spain (e-mail: [email protected]). S. Kumar is with the Jawaharlal Nehru University, New Delhi 110067, India (e-mail: [email protected]). R. Kharel is with the School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, U.K. (e-mail: [email protected]). A. H. Abdullah is with the Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia (e-mail: [email protected]). R. R. Shah is with the School of Information Systems, Singapore Multimedia University, Singapore 178902 (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TVT.2018.2796242 Fig. 1. The cyber and physical world in VCPS environments, vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-personal devices (V2P), vehicle-to-roadside (V2R), vehicle-to-sensors (V2S) communication.
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - Vehicular localization has witnessed significant attention due to the growing number of location-based services in vehicular cyber physical systems (VCPS). In vehicular localization, GPS outage is a challenging issue considering the growing urbanization including high rise buildings, multilevel flyovers and bridges. GPS-free and GPS-assisted cooperative localization techniques have been suggested in the literature for GPS outage. Due to the cost of infrastructure in GPS-free techniques, and the absence of location aware neighbors in cooperative techniques, efficient and scalable localization is a challenging task in VCPS. In this context, this paper proposes a geometry-based localization for GPS outage in VCPS (GeoLV). It is a GPS-assisted localization which reduces location-aware neighbor constraint of cooperative localization. GeoLV utilizes mathematical geometry to estimate vehicle location focusing on vehicular dynamics and road trajectory. The static and dynamic relocations are performed to reduce the impact of GPS outage on location-based services. A case study based comparative performance evaluation has been carried out to assess the efficiency and scalability of GeoLV. It is evident from the results that GeoLV handles both shorter and longer GPS outage problem better than the state-of-the-art techniques in VCPS.
AB - Vehicular localization has witnessed significant attention due to the growing number of location-based services in vehicular cyber physical systems (VCPS). In vehicular localization, GPS outage is a challenging issue considering the growing urbanization including high rise buildings, multilevel flyovers and bridges. GPS-free and GPS-assisted cooperative localization techniques have been suggested in the literature for GPS outage. Due to the cost of infrastructure in GPS-free techniques, and the absence of location aware neighbors in cooperative techniques, efficient and scalable localization is a challenging task in VCPS. In this context, this paper proposes a geometry-based localization for GPS outage in VCPS (GeoLV). It is a GPS-assisted localization which reduces location-aware neighbor constraint of cooperative localization. GeoLV utilizes mathematical geometry to estimate vehicle location focusing on vehicular dynamics and road trajectory. The static and dynamic relocations are performed to reduce the impact of GPS outage on location-based services. A case study based comparative performance evaluation has been carried out to assess the efficiency and scalability of GeoLV. It is evident from the results that GeoLV handles both shorter and longer GPS outage problem better than the state-of-the-art techniques in VCPS.
KW - GPS outage
KW - vehicular communication
KW - Vehicular cyber physical system
KW - vehicular localization
UR - http://www.scopus.com/inward/record.url?scp=85040923586&partnerID=8YFLogxK
U2 - 10.1109/TVT.2018.2796242
DO - 10.1109/TVT.2018.2796242
M3 - Article
AN - SCOPUS:85040923586
VL - 67
SP - 3800
EP - 3812
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 5
M1 - 8265605
ER -