Suppr超能文献

智能自行车网络:一种具有数据聚合功能的 DTN 协议,用于城市数据采集。

Internet of Bikes: A DTN Protocol with Data Aggregation for Urban Data Collection.

机构信息

Telecommunications Department, University of Lyon, INSA Lyon, Inria, CITI F-69621 Villeurbanne, France.

NOCCS Laboratory Higher Institute of Computer Science and Communication Technologies, ISITCom, University of Sousse Sahloul, Sousse 4054, Tunisia.

出版信息

Sensors (Basel). 2018 Aug 27;18(9):2819. doi: 10.3390/s18092819.

Abstract

Intelligent Transport Systems (ITS) are an essential part of the global world. They play a substantial role for facing many issues such as traffic jams, high accident rates, unhealthy lifestyles, air pollution, etc. Public bike sharing system is one part of ITS and can be used to collect data from mobiles devices. In this paper, we propose an efficient, "Internet of Bikes", IoB-DTN routing protocol based on data aggregation which applies the Delay Tolerant Network (DTN) paradigm to Internet of Things (IoT) applications running data collection on urban bike sharing system based sensor network. We propose and evaluate three variants of IoB-DTN: IoB based on spatial aggregation (IoB-SA), IoB based on temporal aggregation (IoB-TA) and IoB based on spatiotemporal aggregation (IoB-STA). The simulation results show that the three variants offer the best performances regarding several metrics, comparing to IoB-DTN without aggregation and the low-power long-range technology, LoRa type. In an urban application, the choice of the type of which variant of IoB should be used depends on the sensed values.

摘要

智能交通系统(ITS)是全球交通的重要组成部分。它们在应对交通拥堵、高事故率、不健康生活方式、空气污染等诸多问题方面发挥着重要作用。公共自行车共享系统是 ITS 的一部分,可以用来从移动设备收集数据。在本文中,我们提出了一种高效的“自行车互联网”(IoB)-基于数据聚合的 DTN 路由协议,该协议将延迟容忍网络(DTN)范例应用于基于城市自行车共享系统传感器网络运行数据收集的物联网(IoT)应用程序。我们提出并评估了 IoB-DTN 的三种变体:基于空间聚合的 IoB(IoB-SA)、基于时间聚合的 IoB(IoB-TA)和基于时空聚合的 IoB(IoB-STA)。仿真结果表明,与无聚合的 IoB-DTN 和低功耗远距离技术 LoRa 型相比,这三种变体在几个指标上都具有最佳性能。在城市应用中,应根据感知值选择使用哪种变体的 IoB。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1950/6163721/9bdf424cfa24/sensors-18-02819-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验