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Energy-Efficient Massive Data Dissemination through Vehicle Mobility in Smart Cities

机译:通过智能城市中的车辆出行实现节能的海量数据发布

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摘要

One of the main challenges of operating a smart city (SC) is collecting the massive data generated from multiple data sources (DSs) and transmitting them to the control units (CUs) for further data processing and analysis. These ever-increasing data demands require not only more and more capacity of the transmission channels but also results in resource over-provision to meet the resilience requirements, thus the unavoidable waste as a result of the data fluctuations throughout the day. In addition, the high energy consumption (EC) and carbon discharge from these data transmissions posing serious issues to the environment we live in. Therefore, to overcome the issues of intensive EC and carbon emission (CE) of massive data dissemination in SCs, we propose an energy-efficient and carbon reduction approach by using the daily mobility of the existing vehicles as an alternative communications channel to accommodate the data dissemination in SCs. To illustrate the effectiveness and efficiency of our approach, we take the Auckland City in New Zealand as an example, assuming massive data generated by various sources geographically scattered throughout the Auckland region, to the control centres located in the city. Results obtained show that our proposed approach can provide up to four times faster transferring the large volume of data by using the existing daily vehicles’ mobility, than the conventional transmission network. Moreover, our proposed approach offers about 32% less EC and CE than that of conventional network transmission approach.
机译:运营智慧城市(SC)的主要挑战之一是收集从多个数据源(DS)生成的海量数据并将其传输到控制单元(CU)进行进一步的数据处理和分析。这些不断增长的数据需求不仅需要越来越多的传输通道容量,而且还导致资源超额配置以满足弹性需求,因此,由于一天中数据波动而造成的不可避免的浪费。此外,这些数据传输中的高能耗(EC)和碳排放对我们生活的环境构成了严重问题。因此,为了解决在SC中大量发布数据的密集EC和碳排放(CE)问题,我们通过使用现有车辆的日常机动性作为替代通信渠道来适应SC中的数据分发,提出了一种节能减排的方法。为了说明我们的方法的有效性和效率,我们以新西兰的奥克兰市为例,假设由分布在整个奥克兰地区的各种来源的大量数据生成的大量数据到达该市的控制中心。所获得的结果表明,与传统的传输网络相比,通过使用现有的日常车辆的移动性,我们提出的方法可以提供最多四倍的速度传输大量数据。此外,与传统的网络传输方法相比,我们提出的方法提供的EC和CE减少了约32%。

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