A Context-Aware Edge-Based VANET Communication Scheme for ITS

An, Chang; Wu, Celimuge; Yoshinaga, Tsutomu; Chen, Xianfu; Ji, Yusheng

doi:10.3390/s18072022

Cited by 22 publications

(20 citation statements)

References 23 publications

(40 reference statements)

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“…Regarding the proposals that have the 1-to-many communication approach [21], [22], it is important to observe the following characteristics: a) they require the knowledge of the 2-hop neighbors, b) they are oriented to active message forwarding and c) they do not consider the RSU as a system entity. However, due to high vehicle mobility in VANETs, it is challenging to maintain the up-to-date information about 2-hop neighbors, and the system densities become dynamic.…”

Section: Discussionmentioning

confidence: 99%

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A Scalable Indirect Position-Based Causal Diffusion Protocol for Vehicular Networks

et al. 2019

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Emerging applications based on vehicular ad-hoc networks (VANETs) are focused on offering new services to intelligent transportation systems (ITSs), such as traffic safety and management. For such kind of services, there are intrinsic spatial and temporal dependencies in the communication among mobile and fixed components. However, the characteristics of VANETs, which include a rapidly changing topology and the lack of global temporal references, make it difficult to satisfy such communication constraints. Commonly, the communication protocols for VANETs assume high coupled communication links; nevertheless, for most ITSs, the entities to whom such information will be useful are determined at run time by the spatial and temporal context. In this paper, a causal position-based indirect communication protocol is proposed, which allows road side units (RSUs) to disseminate messages with an uncoupled communication. The proposed solution uses the vehicles as opportunistic carriers, leveraging the bounded movement in a specific geographical region to exchange data among RSUs even with unknown recipients. To preserve the coherence of the exchange of messages, they are ordered by establishing their causal dependencies without the requirement of global references or synchronized physical clocks. Furthermore, the proposed protocol leverages message redundancy to recover some lost messages during the transmission. It is analytically demonstrated that the protocol is scalable since the size of the control information depends only on the number of RSUs rather than on the total number of entities in the system. INDEX TERMS Position-based causal diffusion, causal ordering, vehicular networks.

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Section: Discussionmentioning

confidence: 99%

“…A Context-Aware Edge-Based VANET Communication Scheme for ITS [21] proposes the algorithm for selection edge-nodes for message retransmission to reduce the number of senders. As a main disadvantage, in this solution the size of the beacon frame depends on the number of neighbor vehicles.…”

Section: B Ad-hoc Networking 1) Ad-hoc Protocols Based On Direct Commentioning

confidence: 99%

A Scalable Indirect Position-Based Causal Diffusion Protocol for Vehicular Networks

et al. 2019

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“…In [ 26 ], the authors proposed a context-aware edge-based packet forwarding scheme for vehicular networks employing on a fuzzy logic-based edge node selection protocol to find the best edge nodes in a decentralized manner. They used a reinforcement learning algorithm to optimize the last two-hop communications in order to improve the adaptiveness of the communication routes.…”

Section: Related Workmentioning

confidence: 99%

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Tropea

Rango

Nevigato³

et al. 2021

Sensors

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In this paper, some collision avoidance systems based on MEC in a VANET environment are proposed and investigated. Micro services at edge are considered to support service continuity in vehicle communication and advertising. This considered system makes use of cloud and edge computing, allowing to switch communication from edge to cloud server and vice versa when possible, trying to guarantee the required constraints and balancing the communication among the servers. Simulation results were used to evaluate the performance of three considered mechanisms: the first one considering only edge with load balancing, the second one using edge/cloud switching and the third one using edge with load balancing and collision avoidance advertising.

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“…Similarly, knowledge-sharing strategies to take advantage of self-taught knowledge between EC devices, such as pertaining to home IoT, have been considered [80]. Undoubtedly, EC-specialized or related optimization problems formulation and solution will be valuable [72,81,82,83], as discussed in the case of optimization consideration for platooning for automatic driving [84], evolutionary game theoretical proposals for mobile devices and security [85,86], better estimation of interference in EC devices [87], cost-effective placement of EC servers [88], computational power allocation for blockchains [89], and incorporation of computer vision [90].…”

Section: Edge Computingmentioning

confidence: 99%

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Passian

Imam

2019

Sensors

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It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.

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A Context-Aware Edge-Based VANET Communication Scheme for ITS

Cited by 22 publications

References 23 publications

A Scalable Indirect Position-Based Causal Diffusion Protocol for Vehicular Networks

A Scalable Indirect Position-Based Causal Diffusion Protocol for Vehicular Networks

SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Nanosystems, Edge Computing, and the Next Generation Computing Systems

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