Energy Efficient and QoS Aware Framework for Video Transmission over Wireless Sensor Networks

ISSN Print: 1945-3078
ISSN Online: 1945-3086
www.scirp.net/journal/wsn
E-mail: [email protected]

Citations

"Energy Efficient and QoS Aware Framework for Video Transmission over Wireless Sensor Networks"
written by Mohammed Ezz El Dien, Aliaa A. A. Youssif, Atef Zaki Ghalwash,
published by Wireless Sensor Network, Vol.8 No.3, 2016

has been cited by the following article(s):

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[2]	Wireless multipath video transmission: when IoT video applications meet networking—a survey
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[3]	Green ICT Communication, Networking and Data Processing
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[4]	Energy Optimization for Hybrid ARQ
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[5]	Energy Optimization for Wireless Video Transmission Employing Hybrid ARQ
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[6]	Fuzzy Logic-Based Quality of Service Evaluation for Multimedia Transmission over Wireless Ad Hoc Networks
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[7]	AN INTELLIGENT CALL ADMISSION CONTROLLER FOR GUARANTEED QOS IN 4G MOBILE NETWORKS
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[8]	AN INTERVAL TYPE-2 FUZZY LOGIC-BASED FRAMEWORK FOR CALL ADMISSION CONTROL IN 4G MOBILE NETWORKS
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[9]	Dynamic IoT management system using K-means machine learning for precision agriculture applications
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[10]	Efficient image transfer over WSN using cross layer architecture
	Optik, 2016

[1]	Localization in wireless sensor networks and wireless multimedia sensor networks using clustering techniques Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-15956-z

[2]	Wireless multipath video transmission: when IoT video applications meet networking—a survey Multimedia Systems, 2022 DOI:10.1007/s00530-021-00885-4

[3]	Energy Optimization For Wireless Video Transmission Employing Hybrid ARQ IEEE Transactions on Vehicular Technology, 2019 DOI:10.1109/TVT.2019.2907487

[4]	Routing algorithm of energy efficient wireless sensor network based on partial energy level Cluster Computing, 2018 DOI:10.1007/s10586-018-1932-6

[5]	Efficient image transfer over WSN using cross layer architecture Optik - International Journal for Light and Electron Optics, 2017 DOI:10.1016/j.ijleo.2016.10.143

[6]	Dynamic IoT management system using K-means machine learning for precision agriculture applications Proceedings of the Second International Conference on Internet of things and Cloud Computing - ICC '17, 2017 DOI:10.1145/3018896.3036385