VALS: Vehicle-aided location service in urban environment

Aissaou, Raik; Dhraief, Amine; Belghith, Abdelfettah; Menouar, Hamid; Filali, Fethi; Mathkour, Hassen

doi:10.1109/wcnc.2016.7565020

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Bhardwaj and Khara [101] and Groza and Murvay [102] had highlighted several research challenges for security and privacy which has been focused on the IoV. Philip, et al [103] had discussed security and privacy in location-based services [104,105] for mobile and vehicular communications. Banani and Goron [106], Hamida and Javed [107] had focused on the issue of signature verification to introduce security and privacy in the IoV applications.…”

Section: Security and Privacymentioning

confidence: 99%

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Garg

Mehrotra

Pandey

et al. 2021

Peer-to-Peer Netw. Appl.

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This paper presents a state-of-the-art review of various models of Internet of Vehicles (IoV) that were proposed to revolutionize the transportation and automation industry. In the last few years, IoV technology has emerged as a global revolution, demonstrating considerable impact upon the transportation and automation industry, hence, the interest of the researchers bends towards the utility of the IoV technology which motivated us to present a comprehensive review. This paper, thus, collates recent findings along with some anticipated applications of IoV technologies for transportation. It brings to light the evolution of the IoV studies referred as models for transportation since its birth and aims to present a deep insightful review of various IoV technologies with their strengths and weaknesses. The reviewed literature is organized systematically to give a categorical overview of recent developments. This article also discusses the outstanding potentialities and challenges that exist in transportation from IoV perspective with the belief that these will have the capacity to be addressed in the near future. As there is no review literature on IoV technology available for transportation. Hence, we strongly believe that this study will be useful and enable the researchers to utilize IoV technologies to solve complex outstanding problems in transportation and automation. Keywords Internet of vehicles . V2X . network . Energy efficiency . Big data . QoS 1 IoV is abbreviated as Internet of Vehicles which has also been referred to by various names like ICV (Internet Connected Vehicles) or CV (Connected Vehicles) or AUV (Autonomous Vehicles) by other academicians. 2 V2X represents V2V, V2I, V2H, V2R and V2C which is also referred to as V2α by other academicians.

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Section: Security and Privacymentioning

confidence: 99%

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Garg

Mehrotra

Pandey

et al. 2021

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

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“…The VALS [17] is a location service in urban environments. It is based on the use of a hierarchy of location servers.…”

Section: Vehicle-aided Location Service (Vals)mentioning

confidence: 99%

Design and Evaluation of Flooding-Based Location Service in Vehicular Ad Hoc Networks

Mühlethaler

Renault

Boumerdassi

2020

Sensors

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Location-based routing protocols for vehicular ad hoc networks (VANETs) use location information to determine routing decisions. This information is provided by a location service that is queried by nodes in order to properly forward packets to communication partners. This paper presents the semiflooding location service, a proactive flooding-based location service that drastically reduces the number of update packets sent over the network compared to traditional flooding-based location services. This goal is achieved by each node partially forwarding location information. We present both deterministic and probabilistic approaches for this algorithm, which remains very simple. A mathematical model is proposed to show the effectiveness of this solution. The cases of homogeneous 1D, 2D, and 3D networks were studied for both deterministic and probabilistic forwarding decisions. We compare our algorithm with simple flooding and with the multipoint-relay (MPR) flooding of the optimized-link-state-routing (OLSR) protocol, and we show that our algorithm, despite being very simple, has excellent scalability properties. The mean number of generated messages ranges with the mean number of the neighbors of one random network node.

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Cluster-based location service schemes in VANETs: current state, challenges and future directions

et al. 2020

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VALS: Vehicle-aided location service in urban environment

Cited by 4 publications

References 15 publications

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Design and Evaluation of Flooding-Based Location Service in Vehicular Ad Hoc Networks

Cluster-based location service schemes in VANETs: current state, challenges and future directions

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