VANET-Based Volunteer Computing (VBVC): A Computational Paradigm for Future Autonomous Vehicles

Amjid, Ayesha; Khan, Abid; Shah, Munam Ali

doi:10.1109/access.2020.2974500

Cited by 10 publications

(8 citation statements)

References 31 publications

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“…In this type of computing, usually, RSU initiates the coordination and then infrastructure and ad-hoc based coordination are carried out simultaneously to utilize the more resources. In [145], Vehicular ad-hoc network (VANET) is merged into volunteer computing to accomplish the task execution using a central manager of the jobs. Different algorithms were used to evaluate the parameters like latency,…”

Section: G Volunteer Computing Based Vanetmentioning

confidence: 99%

A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks

et al. 2022

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Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community. Advances in computer and communication technology have made the dream of modern intelligent vehicles a reality through the use of smart sensors, cameras, networking devices, and storage capabilities. Autonomous operation of modern intelligent vehicles requires massive computations where tasks are outsourced. The research community has proposed various computing paradigms: mobile cloud computing, vehicle cloud computing, multi-access edge computing, vehicle edge computing, vehicle fog computing, and voluntary computing-based VANET (VCBV) to move computational power close to the user and handle the delay-sensitive applications of modern intelligent vehicles. In this study, we have provided a comprehensive overview of all computing paradigms related to vehicular networks. We have presented the architectural details, similarities, differences, and key features of each computing paradigm. Finally, we concluded the study with open research challenges in vehicular networks.

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Section: G Volunteer Computing Based Vanetmentioning

confidence: 99%

A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks

et al. 2022

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“…The computing power of vehicles can be utilized without requiring connectivity to the Internet, whether vehicles are parked or idling in congestion. Amjid et al [ 43 ] used volunteer computing over VANETs to support autonomous vehicles, utilizing resources through a centralized job manager. A number of algorithms, differentiated by node-registration, were evaluated for job completion rate, latency and throughput, using NS2 and SUMO.…”

Section: Hybrid Volunteer Computing Based Vanetmentioning

confidence: 99%

Hybrid Task Coordination Using Multi-Hop Communication in Volunteer Computing-Based VANETs

Waheed

Shah

Khan

et al. 2021

Sensors

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Computation offloading is a process that provides computing services to vehicles with computation sensitive jobs. Volunteer Computing-Based Vehicular Ad-hoc Networking (VCBV) is envisioned as a promising solution to perform task executions in vehicular networks using an emerging concept known as vehicle-as-a-resource (VaaR). In VCBV systems, offloading is the primary technique used for the execution of delay-sensitive applications which rely on surplus resource utilization. To leverage the surplus resources arising in periods of traffic congestion, we propose a hybrid VCBV task coordination model which performs the resource utilization for task execution in a multi-hop fashion. We propose an algorithm for the determination of boundary relay vehicles to minimize the requirement of placement for multiple road-side units (RSUs). We propose algorithms for primary and secondary task coordination using hybrid VCBV. Extensive simulations show that the hybrid technique for task coordination can increase the system utility, while the latency constraints are addressed.

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“…An aggregation protocol has been used for incentives. Similarly, the authors in [22] proposed a new paradigm by merging vehicular ad-hoc network (VANET) with volunteer computing to provide efficient utilization of idle computing resources. The authors evaluated their proposed paradigm using job completion, throughput and latency to show better results compared with traditional approaches.…”

Section: Related Workmentioning

confidence: 99%

An Incentive-Based Mechanism for Volunteer Computing using Blockchain

Ridhawi¹,

Aloqaily²,

Jararweh³

2020

Preprint

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The rise of fast communication media both at the core and at the edge has resulted in unprecedented numbers of sophisticated and intelligent wireless IoT devices. Tactile Internet has enabled the interaction between humans and machines within their environment to achieve revolutionized solutions both on the move and in real-time. Many applications such as intelligent autonomous self-driving, smart agriculture and industrial solutions, and self-learning multimedia content filtering and sharing have become attainable through cooperative, distributed and decentralized systems, namely, volunteer computing. This article introduces a blockchain-enabled resource sharing and service composition solution through volunteer computing. Device resource, computing, and intelligence capabilities are advertised in the environment to be made discoverable and available for sharing with the aid of blockchain technology. Incentives in the form of on-demand service availability are given to resource and service providers to ensure fair and balanced cooperative resource usage. Blockchains are formed whenever a service request is initiated with the aid of fog and mobile edge computing (MEC) devices to ensure secure communication and service delivery for the participants. Using both volunteer computing techniques and tactile internet architectures, we devise a fast and reliable service provisioning framework that relies on a reinforcement learning technique. Simulation results show that the proposed solution can achieve high reward distribution, increased number of blockchain formations, reduced delays, and balanced resource usage among participants, under the premise of high IoT device availability.

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VANET-Based Volunteer Computing (VBVC): A Computational Paradigm for Future Autonomous Vehicles

Cited by 10 publications

References 31 publications

A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks

A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks

Hybrid Task Coordination Using Multi-Hop Communication in Volunteer Computing-Based VANETs

An Incentive-Based Mechanism for Volunteer Computing using Blockchain

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