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Toward Convergence ...
Toward Convergence of AI and IoT for Energy-Efficient Communication in Smart Homes
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- Sodhro, Ali Hassan (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,Chinese Acad Sci, Peoples R China; Sukkur IBA Univ, Pakistan
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- Gurtov, Andrei (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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- Zahid, Noman (författare)
- Sukkur IBA Univ, Pakistan
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- Pirbhulal, Sandeep (författare)
- Univ Beira Interior, Portugal
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- Wang, Lei (författare)
- Chinese Acad Sci, Peoples R China
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- Rahman, Muhammad Mahboob Ur (författare)
- Informat Technol Univ, Pakistan
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- Imran, Muhammad Ali (författare)
- Univ Glasgow, Scotland
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- Abbasi, Qammer H. (författare)
- Univ Glasgow, Scotland
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(creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021
- 2021
- Engelska.
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Ingår i: IEEE Internet of Things Journal. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2327-4662. ; 8:12, s. 9664-9671
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The convergence of artificial intelligence (AI) and the Internet of Things (IoT) promotes energy-efficient communication in smart homes. Quality-of-Service (QoS) optimization during video streaming through wireless micro medical devices (WMMDs) in smart healthcare homes is the main purpose of this research. This article contributes in four distinct ways. First, to propose a novel lazy video transmission algorithm (LVTA). Second, a novel video transmission rate control algorithm (VTRCA) is proposed. Third, a novel cloud-based video transmission framework is developed. Fourth, the relationship between buffer size and performance indicators, i.e., peak-to-mean ratio (PMR), energy (i.e., encoding and transmission), and standard deviation, is investigated while comparing LVTA, VTRCA, and baseline approaches. The experimental results demonstrate that the reduction in encoding (32% and 35.4%) and transmission (37% and 39%) energy drains, PMR (5 and 4), and standard deviation (3 and 4 dB) for VTRCA and LVTA, respectively, is greater than that obtained by baseline during video streaming through WMMD.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Streaming media; Optimization; Internet of Things; Quality of service; Encoding; Receivers; Artificial intelligence; Cloud based; convergence artificial intelligence (AI); energy-efficient communication; Internet of Things (IoT); lazy video transmission algorithm (LVTA); smart homes; video streaming; video transmission rate control algorithm (VTRCA); wireless micro medical devices (WMMDs)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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