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面向物联网的低功耗广域网自适应数据同步算法。

Adaptive Data Synchronization Algorithm for IoT-Oriented Low-Power Wide-Area Networks.

机构信息

Department of Information, Electrical and Telecommunication Engineering (DIET), "Sapienza" University of Rome, 00184 Rome, Italy.

出版信息

Sensors (Basel). 2018 Nov 20;18(11):4053. doi: 10.3390/s18114053.

DOI:10.3390/s18114053
PMID:30463377
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6263504/
Abstract

The Internet of Things (IoT) is by now very close to be realized, leading the world towards a new technological era where people's lives and habits will be definitively revolutionized. Furthermore, the incoming 5G technology promises significant enhancements concerning the Quality of Service (QoS) in mobile communications. Having billions of devices simultaneously connected has opened new challenges about network management and data exchange rules that need to be tailored to the characteristics of the considered scenario. A large part of the IoT market is pointing to Low-Power Wide-Area Networks (LPWANs) representing the infrastructure for several applications having energy saving as a mandatory goal besides other aspects of QoS. In this context, we propose a low-power IoT-oriented file synchronization protocol that, by dynamically optimizing the amount of data to be transferred, limits the device level of interaction within the network, therefore extending the battery life. This protocol can be adopted with different Layer 2 technologies and provides energy savings at the IoT device level that can be exploited by different applications.

摘要

物联网(IoT)现在已经非常接近实现,将世界带入一个新的技术时代,人们的生活和习惯将被彻底颠覆。此外,即将到来的 5G 技术有望在移动通信的服务质量(QoS)方面带来显著的提升。数十亿设备的同时连接带来了网络管理和数据交换规则的新挑战,这些规则需要根据所考虑场景的特点进行调整。物联网市场的很大一部分都指向低功耗广域网(LPWAN),它们代表了具有节能目标的多个应用的基础设施,除了 QoS 的其他方面。在这种情况下,我们提出了一种面向低功耗物联网的文件同步协议,该协议通过动态优化要传输的数据量,限制网络内设备级别的交互,从而延长电池寿命。该协议可以与不同的第 2 层技术一起采用,并为不同的应用提供物联网设备级别的节能效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/9a63a38b5d23/sensors-18-04053-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/637532cfd046/sensors-18-04053-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/0e77ab1381c7/sensors-18-04053-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/08c952fc229c/sensors-18-04053-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/1abf7cae86a4/sensors-18-04053-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/4b43424f7789/sensors-18-04053-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/316fda207fb3/sensors-18-04053-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/612fbce809be/sensors-18-04053-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/5b06376c1e6c/sensors-18-04053-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/9a63a38b5d23/sensors-18-04053-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/637532cfd046/sensors-18-04053-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/0e77ab1381c7/sensors-18-04053-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/08c952fc229c/sensors-18-04053-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/1abf7cae86a4/sensors-18-04053-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/4b43424f7789/sensors-18-04053-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/316fda207fb3/sensors-18-04053-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/612fbce809be/sensors-18-04053-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/5b06376c1e6c/sensors-18-04053-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e3/6263504/9a63a38b5d23/sensors-18-04053-g009.jpg

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