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能量受限的无线信息中心网络中的前向传输。

Forwarding in Energy-Constrained Wireless Information Centric Networks.

机构信息

Instituto de Telecomunicações, 3810-193 Aveiro, Portugal.

ISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisboa, Portugal.

出版信息

Sensors (Basel). 2022 Feb 13;22(4):1438. doi: 10.3390/s22041438.

DOI:10.3390/s22041438
PMID:35214340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8877279/
Abstract

Information Centric Networks (ICNs) have been considered one of the most promising candidates to overcome the disadvantages of host-centric architectures when applied to IoT networks, having the potential to address the challenges of a smart city. One of the foundations of a smart city is its sensory capacity, which is obtained through devices associated with the IoT concept. The more sensors spread out, the greater the ability to sense the city. However, such a scale demands high energy requirements and an effective improvement in the energy management is unavoidable. To improve the energy management, we are proposing an efficient forwarding scheme in energy-constrained wireless ICNs. To achieve this goal, we consider the type of devices, their internal energy and the network context, among other parameters. The proposed forwarding strategy extends and adapts concepts of ICNs, by means of packet domain analysis, neighbourhood evaluation and node sleeping and waking strategies. The proposed solution takes advantage of the neighbourhood to be aware of the moments to listen and forward packets in order to consistently address mobility, improving the quality of content delivery. The evaluation is performed by simulation with real datasets of urban mobility, one from the lagoon of "Ria de Aveiro" and the other from a vehicular network in the city of Porto. The results show that the proposed forwarding scheme resulted in significant improvements in network content availability, in the overall energy saving and, consequently, in the network lifetime.

摘要

信息中心网络(ICN)被认为是克服物联网网络中以主机为中心的架构的缺点的最有前途的候选者之一,它具有解决智慧城市挑战的潜力。智慧城市的基础之一是其感知能力,这是通过与物联网概念相关的设备获得的。传感器分布得越多,感知城市的能力就越强。然而,这样的规模需要高能量要求,因此不可避免地需要有效地改进能量管理。为了改善能量管理,我们提出了一种节能的无线 ICN 中的转发方案。为了实现这一目标,我们考虑了设备类型、内部能量和网络环境等参数。所提出的转发策略通过数据包域分析、邻居评估和节点休眠和唤醒策略扩展和适应了 ICN 的概念。所提出的解决方案利用了邻居的优势,了解监听和转发数据包的时刻,以便一致地处理移动性,提高内容交付的质量。通过使用城市移动性的真实数据集进行模拟评估,一个数据集来自阿威罗泻湖的“Ria de Aveiro”,另一个数据集来自波尔图的车联网。结果表明,所提出的转发方案在网络内容可用性、整体节能以及网络寿命方面都取得了显著的改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/790eba7b12cb/sensors-22-01438-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/49a7b5912611/sensors-22-01438-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/70e58f63d916/sensors-22-01438-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/792995d38b28/sensors-22-01438-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/6a95c6a47314/sensors-22-01438-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/032ebbe12bc6/sensors-22-01438-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/e929d69ff80b/sensors-22-01438-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/acf46498903d/sensors-22-01438-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/918149ffde37/sensors-22-01438-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/739c193e1d4c/sensors-22-01438-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/7179b055b3d3/sensors-22-01438-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/6889eb6a4981/sensors-22-01438-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/790eba7b12cb/sensors-22-01438-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/49a7b5912611/sensors-22-01438-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/70e58f63d916/sensors-22-01438-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/792995d38b28/sensors-22-01438-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/6a95c6a47314/sensors-22-01438-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/032ebbe12bc6/sensors-22-01438-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/e929d69ff80b/sensors-22-01438-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/acf46498903d/sensors-22-01438-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/918149ffde37/sensors-22-01438-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/739c193e1d4c/sensors-22-01438-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/7179b055b3d3/sensors-22-01438-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/6889eb6a4981/sensors-22-01438-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/312c/8877279/790eba7b12cb/sensors-22-01438-g012.jpg

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