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E-DRAFT: An Efficient Data Retrieval and Forwarding Technique for Named Data Network Based Wireless Multimedia Sensor Networks

delete2023-01-01
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OA
AI
A
Ahmad Arsalan
M
Muhammad Burhan
R
Rana Asif Rehman
T
T. Umer
B
Byung-Seo Kim *
DOI:10.1109/ACCESS.2023.3244247delete
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摘要

摘要

En 中文
Wireless Multimedia Sensor Network (WMSN) is a wirelessly connected sensor network featuring multimedia devices such as cameras and microphones that can retrieve video and audio streams, photographs, and scalar sensor data. Because of the low cost of cameras and microphones, in addition to significant advances in distributed signal processing and multimedia data coding approaches, WMSNs can offer multimedia content. Moreover, the most critical difficulty in the implementation of WMSN is to improve the efficiency and lifetime of the network. The Named-Data Network (NDN) technique is used in WMSNs to increase communication and transmission mechanisms efficiency. NDN is thought to be one of the most demanding Internet architectures in the future. Unlike host-centric techniques that focus on the location of the content, NDN focuses on providing the content. In this paper, we propose a novel accumulative Interest-based content-store architecture for NDN-based WMSNs to improve the efficiency of individual nodes as well as the overall network. Furthermore, the proposed solution also controls packet flooding. The proposed scheme is named Efficient Data Retrieval and Forwarding (E-DRAFT) . Moreover, the ndnSIM simulator is used to run comprehensive simulations. Compared to existing methodologies, the simulation results reveal that the proposed approach stops additional packet flooding and effectively stores and retrieves Data packets with enhanced processing efficiency.
Keyword:
Internet
Wireless sensor networks
Streaming media
Ad hoc networks
Multimedia communication
Microphones
NDN
wireless
sensor
network
multimedia

期刊

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IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

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U
University of Central Punjab
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995
论文数: 871
被引数: 1.4K
H
Hongik University
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2.1K
论文数: 2.7K
被引数: 2.1K
C
comsats university islamabad (cui)
学者数:
1.1W
论文数: 1.1W
被引数: 7
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