With the exponential increase in the number of smart devices and the proliferation of the Internet of Things (IoT) over the last two decades, a huge demand for computational and storage resources has been observed. This trend has supported a vision toward exploring a novel set of resources beyond the traditional distributed computing paradigms. To deliver this vision, vehicular ad-hoc networks (VANETs) have garnered a great deal of attention due to a number of vehicles on the roads that can be served as the prospective computational resources in the form of processing and storage units. Given the perspective of resources not being used collectively, we propose volunteer computing based VANET (VCBV) architecture, aimed at utilizing the surplus vehicular resources to deal with the future computational requirements of varied applications including autonomous driving, infotainment systems, healthcare services, and complex simulations. In this context, this study investigates the different aspects of possible integration of VANET and volunteer computing (VC). For this purpose, we describe the system model of VCBV by identifying the major components and their roles. Furthermore, a comprehensive taxonomic classification of VCBV is presented. Moreover, some prospective applications and multiple VCBV scenarios are also envisioned. Finally, a set of challenges is indicated that must be addressed by future studies to fully realize the potential of the proposed architecture.

中文翻译：

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联网车辆中的志愿计算：机遇与挑战


过去二十年来，随着智能设备数量的指数级增长和物联网 (IoT) 的普及，对计算和存储资源的巨大需求已经出现。这种趋势支持了探索传统分布式计算范式之外的一组新颖资源的愿景。为了实现这一愿景，车辆自组织网络 (VANET) 引起了广泛关注，因为道路上的大量车辆可以以处理和存储单元的形式充当未来的计算资源。考虑到资源不被集中使用的角度，我们提出了基于志愿计算的车载自组网（VCBV）架构，旨在利用剩余的车辆资源来处理包括自动驾驶、信息娱乐系统、医疗服务和复杂应用在内的各种应用的未来计算需求。模拟。在此背景下，本研究调查了 VANET 和志愿者计算 (VC) 可能集成的不同方面。为此，我们通过识别主要组件及其作用来描述 VCBV 的系统模型。此外，还提出了 VCBV 的综合分类。此外，还设想了一些潜在的应用和多种 VCBV 场景。最后，指出了未来研究必须解决的一系列挑战，以充分发挥所提出架构的潜力。