A Latency-Defined Edge Node Placement Scheme for Opportunistic Smart Cities
A Latency-Defined Edge Node Placement Scheme for Opportunistic Smart Cities
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DOI：
10.1109/percomworkshops51409.2021.9430977
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Oluwashina Madamori;Esther Max-Onakpoya;Gregory D. Erhardt;C. Baker
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文献类型：
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作者：
Oluwashina Madamori;Esther Max-Onakpoya;Gregory D. Erhardt;C. Baker
智慧城市项目有可能改善环境和公共基础设施的管理。然而，智慧城市的运营和资本支出可能会阻止城市变得更智能。影响成本的一个值得注意的因素是为物联网设备提供蜂窝互联网连接。5G已被提出作为一种可能的解决方案，但预测显示，5G将无法支持数十亿物联网设备的负载。为了缓解这一问题，可以利用交通网络中的人员、车辆和其他节点，通过利用设备到设备通信来传输非紧急数据，以降低与智能城市传感器相关的蜂窝连接成本。因此，本文讨论了智能城市中具有成本效益的边缘节点位置，这些节点机会性地利用公共交通网络。我们介绍了一种算法，选择一组边缘节点，提供最小的交付延迟内的预算。两个公共交通网络的数据集：查佩尔山，北卡罗来纳州和路易斯维尔，肯塔基州和结果表明，我们的算法优于介和度中心度指标，减少了超过20分钟的延迟。
Smart city projects have the potential to improve the management of environmental and public infrastructure. However, the operational and capital expenditures of smart cities can prevent cities from becoming smarter. A notable factor that influences the cost is providing cellular Internet connectivity to IoT devices. 5G has been proposed as a possible solution, but projections show that 5G will not be able to support the load of billions of IoT devices coming online. To mitigate this, people, vehicles, and other nodes in transportation networks can be exploited to transmit non-urgent data by leveraging device-to-device communication in order to reduce cellular connectivity costs associated with smart city sensors. Hence, this paper addresses cost-effective edge node placement in smart cities that opportunistically leverage public transit networks. We introduce an algorithm that selects a set of edge nodes that provide minimal delivery delay within a budget. The algorithm is evaluated for two public transit network data-sets: Chapel Hill, North Carolina and Louisville, Kentucky and results show that our algorithm outperforms betweeness and in-degree centrality metrics with a reduction in latency of over 20 minutes.