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Design of energy-aware video codec-based system

Sangkwon Na, Jungsoo Kim, Jaemoon Kim, Giwon Kim, Chong-Min Kyung
2010 The 2010 International Conference on Green Circuits and Systems  
Given event statistics, the proposed energy-aware system design methodology carries out the architecture exploration of a wireless surveillance node (WSN) consisting of image sensor, event detector, video  ...  In this paper, we propose a energy-aware video codec-based system design which exploits event characteristics to minimize the energy consumption through energy-aware architecture exploration.  ...  CONCLUSION In this paper, we proposed energy-aware video codec-based system design which exploits event statistics and energy-rate-distortion relationship of an event criticality-aware wireless surveillance  ... 
doi:10.1109/icgcs.2010.5543067 fatcat:4kd2v2hkn5emhckei677ehtqoy

Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions

Behrouz Jedari, Gopika Premsankar, Gazi Illahi, Mario Di Francesco, Abbas Mehrabi, Antti Yla-Jaaski
2020 IEEE Communications Surveys and Tutorials  
Future wireless networks will provide highbandwidth, low-latency, and ultra-reliable Internet connectivity to meet the requirements of different applications, ranging from virtual reality to the Internet  ...  This article presents an in-depth survey on video edge-C3 challenges and state-of-the-art solutions in next-generation wireless and mobile networks.  ...  [249] aim to maximize the quality of the tiles in a viewport for 360 • video streaming while minimizing the energy consumption of the UE.  ... 
doi:10.1109/comst.2020.3035427 fatcat:ialgflav5nao3fwptbmyvtfhpa

Artificial Intelligence (AI) and Machine Learning for Multimedia and Edge Information Processing

Jasmine Kah Phooi Seng, Kenneth Li-minn Ang, Eno Peter, Anthony Mmonyi
2022 Electronics  
Edge information processing techniques and approaches are well suited to match current technologies for Internet of Things (IoT) and autonomous systems, although there are many challenges which remain  ...  data sources and information processing have led to the emergence of new paradigms for multimedia and edge AI information processing, particularly for urban and smart city environments.  ...  , as well as how to manage the effect of lossy and rate-constrained wireless channels on the video surveillance implementation.  ... 
doi:10.3390/electronics11142239 fatcat:wf5wt7whbrbkdggygptum56244

Interoperability and Data Storage in Internet of Multimedia Things: Investigating Current Trends, Research Challenges and Future Directions

Guojie Yang, Mian Ahmad Jan, Ateeq Ur Rehman, Muhammad Babar, Mian Muhammad Aimal, Sahil Verma
2020 IEEE Access  
Internet of Things (IoT) has widely been accepted as a promising paradigm for connecting a large number of resource-constrained miniature sensor nodes that have the ability to sense the deployed environment  ...  To understand the challenges faced by seamless and interoperable communication in IoMT, we provide a comprehensive review of the existing protocol stacks of IoMT and analyze their feasibility for multimedia  ...  To minimize energy consumption, the RPL uses a slow and dynamic process to deal with network inconsistencies.  ... 
doi:10.1109/access.2020.3006036 fatcat:7rru32qodnc57n554bj4luna6i

Distributed Signal Processing in Wireless Sensor Networks [chapter]

2007 Wireless Networks and Mobile Communications  
Such a wireless sensor network can be used to collect and process information from the field in military surveillance, building security, in harsh physical environments, and for scientific investigations  ...  Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Sensor nodes forming a network and using wireless communications  ...  In order to provide different levels of protection on the compressed bits, we take into account all three factors and derive a formulation to minimize system energy consumption.  ... 
doi:10.1201/9781420042894.pt2 fatcat:viewnxokbjatnlv7tehn2pgyoe

Energy Consumption of Visual Sensor Networks: Impact of Spatio-Temporal Coverage Based on Single-Hop Topologies [chapter]

Alessandro Redondi, Dujdow Buranapanichkit, Matteo Cesana, Marco Tagliasacchi, Yiannis Andreopoulos
2014 Lecture Notes in Computer Science  
Our results are parametric to the probability density function characterizing the data-production rate per node and the energy consumption parameters of the system of interest.  ...  48% of reduction of energy consumption in comparison to ad-hoc settings.  ...  Overall system perspective -energy consumption: Like traditional wireless sensor networks, VSN nodes are battery operated.  ... 
doi:10.1007/978-3-319-04651-8_10 fatcat:hzmsrksfizbpxbkf4bx7inoyn4

An Extensive Survey on the Internet of Drones [article]

Pietro Boccadoro and Domenico Striccoli and Luigi Alfredo Grieco
2021 arXiv   pre-print
Nevertheless, the adoption of networks of drones gives rise to several issues related to the unreliability of the wireless medium, the duration of batteries, and the high mobility degree, which may cause  ...  Indeed, Unmanned Aerial Vehicles (UAVs) can successfully be employed in different applications, thanks to some technological and practical advantages: high mobility, capability to extend wireless coverage  ...  The goal of this work is to find the optimal drone position and power level that minimize the UAVs energy consumption.  ... 
arXiv:2007.12611v3 fatcat:qje6brwqcza5xo43qh7qpj4csa

Wireless Backhaul in 5G and Beyond: Issues, Challenges and Opportunities [article]

Berke Tezergil, Ertan Onur
2021 arXiv   pre-print
Resource allocation, deployment, scheduling, power management and energy efficiency are some of these problems.  ...  ), and beamforming, wireless backhaul is expected to be an integral part of the 5G networks.  ...  The second step outputs the wireless network power consumption and peak traffic statistics of BSs and the number of BSs that need to be deployed.  ... 
arXiv:2103.08234v2 fatcat:3fug6wsmtrg5bfxk2ga2f2al5i

Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge

Roberto Morabito, Ivan Farris, Antonio Iera, Tarik Taleb
2017 IEEE Internet of Things Journal  
Energy efficiency through the use of different mechanisms for an energy-aware allocation of services; iii.  ...  Figure 29 . 29 Overall system CPU usage and related system power consumption (a) and overall system memory (RAM) usage (b).  ... 
doi:10.1109/jiot.2017.2714638 fatcat:5k34jopmkbbzhge7xxwnnoi6mq

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
Upcoming 5G systems are evolving to support exploding mobile traffic volumes, agile management of network resource to maximize user experience, and extraction of fine-grained real-time analytics.  ...  The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure.  ...  They employ a deep Q learning framework to jointly optimize the offloading decision and computational resource allocation, so as to minimize the sum cost of delay and energy consumption of all user equipment  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience  ...  The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure.  ...  They employ a deep Q learning framework to jointly optimize the offloading decision and computational resource allocation, so as to minimize the sum cost of delay and energy consumption of all user equipment  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

AI and ML – Enablers for Beyond 5G Networks

Alexandros Kaloxylos, Anastasius Gavras, Daniel Camps Mur, Mir Ghoraishi, Halid Hrasnica
2020 Zenodo  
They are typically used to model complex relationships between input and output parameters of a system or to find patterns in data.  ...  A family of neural networks is presented, which are generally speaking, non-linear statistical data modelling and decision making tools.  ...  the total network cost, namely, CPU consumption, latency, energy consumption and SLA violations.  ... 
doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm

What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges

Julien Gedeon, Florian Brandherm, Rolf Egert, Tim Grube, Max Muhlhauser
2019 IEEE Access  
We then present a classification of proposed use cases and analyze them according to their expected benefits from edge computing and which components they use.  ...  Edge computing brings computing and storage resources closer to (mobile) end users and data sources, thus bypassing expensive and slow links to distant cloud computing infrastructures.  ...  The authors have conducted experiments, measuring the throughput and energy consumption and based on the results, modeled a trade-off for the allocation of resources between the cloudlets performing the  ... 
doi:10.1109/access.2019.2948399 fatcat:j35c35yodzacpbvonjpgn63ar4

D3.1 Communication of IoT Devices

Efstathios Katranaras, Guillaume Vivier, Ignacio Garcia Zuazola, Jaime Ruiz Alonso, Ignacio Benito Frontelo, Ahmad Nimr, Roberto Bomfin, Ivo Bizon Franco de Almeida, Albert Marín-Bernad, David Gomez-Barquero, Cristina Avellan, José Luis Cárcel Cerver (+8 others)
2021 Zenodo  
This document describes how iNGENIOUS plans to evolve devices and communication solutions to support Next-Generation Internet of Things (NG-IoT) scenarios.  ...  , which are also mapped to the use cases of iNGENIOUS.  ...  The main contributors to achieve the expected cost reductions for the individual complexity reduction techniques are included in Table 13 for both RF and baseband blocks.  ... 
doi:10.5281/zenodo.4890976 fatcat:cqxyf76dtvgbhl4rh774pwubnq

Empowering Vertical Industries through 5G Networks - Current Status and Future Trends

Alexandros Kaloxylos, Anastasius Gavras, Raffaele De Peppe
2020 Zenodo  
This white paper summarizes the progress and key findings produced by 5G PPP projects to provide 5G network services for vertical industries.  ...  It discusses in detail several exemplary use cases from 11 different vertical sectors and identifies key 5G features that have been used to meet the specified requirements.  ...  manage energy consumption with a target to reduce energy costs of up to 80%.  ... 
doi:10.5281/zenodo.3698113 fatcat:mkjzdvjnqfehxply655s7mdqam
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