Academic literature on the topic 'Energy efficiency, traffic engineering, wired networks'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Energy efficiency, traffic engineering, wired networks.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Energy efficiency, traffic engineering, wired networks"
1
Fondo-Ferreiro, Pablo, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, and Sergio Herrería-Alonso. "Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay." Sensors 18, no. 11 (November 13, 2018): 3915. http://dx.doi.org/10.3390/s18113915.
Full textAbstract:
Both economic and environmental costs are driving much research in the area of the energy efficiency of networking equipment. This research has produced a great amount of proposals. However, the majority of them remain unimplemented due to the lack of flexibility of current hardware devices and a certain lack of enthusiasm from commercial vendors. At the same time, Software-Defined Networking (SDN) has allowed customers to control switching decisions with a flexibility and precision previously unheard of. This paper explores the potential convergence between the two aforementioned trends and presents a promising power saving algorithm that can be implemented using standard SDN capabilities of current switches, reducing operation costs on both data centers and wired access networks. In particular, we focus on minimizing the energy consumption in bundles of energy-efficient Ethernet links leveraging SDN. For this, we build on an existing theoretical algorithm and adapt it for implementing with an SDN solution. We study several approaches and compare the resulting algorithms not only according to their energy efficiency, but also taking into account additional QoS metrics. The results show that the resulting algorithm is able to closely match the theoretical results, even when taking into account the requirements of delay-sensitive traffic.
2
Kumar V., Shiva, Rajashree V. Biradar, and V. C. Patil. "Design and Performance Analysis of Hybrid Energy Harvesting and WSN Application for More Life Time and High Throughput." International Journal of Circuits, Systems and Signal Processing 16 (January 17, 2022): 686–98. http://dx.doi.org/10.46300/9106.2022.16.85.
Full textAbstract:
the technology of wireless sensor-actuator networks (WSANs) is widely employed in the applications of IoT due to its wireless nature and it does not involve any wired structure. The wireless systems that are battery-driven can easily reconfigure the existing devices and sensors efficiently in the manufacturing units without employing any cable for power operation as well as for communication. The wireless sensor-actuator networks that are based on IEEE 802.15.4 consumes significantly less power. These networks are designed and built cost-effectively by considering the capacity of battery and expense so that they can be employed for many applications. The application of a typical wireless Autonomous Scheduling and Distributed Graph Routing (DDSR) has illustrated the reliability of employing its basic approaches for almost ten years and it consists of the accurate plot for routing and time-slotted channel hopping therefore ensuring accurate low-power wireless communication in the processing site. Officially declared by the controversial statements associated with the government of Greek experiences fourth industrialization. There is a huge requirement for sensor nodes link via WSAN in the industrial site. Also, reduced computational complexity is one of the drawbacks faced by the existing standards of WSAN which is caused because of their highly centralized traffic management systems and thereby significantly improves the consistency and accessibility of network operations at the expense of optimization. This research work enables the study of efficient Wireless DGR network management and also introduces an alternative for DDSR by enabling the sensor nodes to determine their data traffic routes for the transmission of data. When compared to the above two physical routing protocols, the proposed technique can drastically improve the performance of a network, throughput, and energy consumption under various aspects. Energy harvesting (EH) plays a significant role in the implementation of large IoT devices. The requirement for subsequent employment of power sources is eliminated by The efficient approach of Energy Harvesting and thereby providing a relatively close- perpetual working environment for the network. The structural concept of routing protocols that are designed for the IoT applications which are based on the wireless sensor has been transformed into "energy-harvesting-aware" from the concept of "energy-aware" because of the development in the Energy harvesting techniques. The main objective of the research work is to propose a routing protocol that is energy-harvesting-aware for the various network of IoT in case of acoustic sources of energy. A novel algorithm for routing called Autonomous Scheduling and Distributed Graph Routing (DDSR) has been developed and significantly improved by incorporating a new “energy back-off” factor. The proposed algorithm when integrated with various techniques of energy harvesting enhances the longevity of nodes, quality of service of a network under increased differential traffic, and factors influencing the accessibility of energy. The research work analyses the performance of the system for various constraints of energy harvesting. When compared to previous routing protocols the proposed algorithm achieves very good energy efficiency in the network of distributed IoT by fulfilling the requirements of QoS.
3
Fu, Shu, Hong Wen, Jinsong Wu, and Bin Wu. "Cross-Networks Energy Efficiency Tradeoff: From Wired Networks to Wireless Networks." IEEE Access 5 (2017): 15–26. http://dx.doi.org/10.1109/access.2016.2585221.
Full text
4
Pavlovs, D., V. Bobrovs, M. Parfjonovs, A. Alsevska, and G. Ivanovs. "Evaluation of Signal Regeneration Impact on the Power Efficiency of Long-Haul DWDM Systems." Latvian Journal of Physics and Technical Sciences 54, no. 5 (October 26, 2017): 68–77. http://dx.doi.org/10.1515/lpts-2017-0035.
Full textAbstract:
Abstract Due to potential economic benefits and expected environmental impact, the power consumption issue in wired networks has become a major challenge. Furthermore, continuously increasing global Internet traffic demands high spectral efficiency values. As a result, the relationship between spectral efficiency and energy consumption of telecommunication networks has become a popular topic of academic research over the past years, where a critical parameter is power efficiency. The present research contains calculation results that can be used by optical network designers and operators as guidance for developing more power efficient communication networks if the planned system falls within the scope of this paper. The research results are presented as average aggregated traffic curves that provide more flexible data for the systems with different spectrum availability. Further investigations could be needed in order to evaluate the parameters under consideration taking into account particular spectral parameters, e.g., the entire C-band.
5
Hussein, Mohammed, Wisam Alabbasi, and Ahmad Alsadeh. "Green distributed algorithm for energy saving in IP wired networks using sleep scheduling." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5160. http://dx.doi.org/10.11591/ijece.v11i6.pp5160-5169.
Full textAbstract:
Energy saving has become a critical issue and a great challenge in the past few decades, and a great effort as well is being made to reduce consumed energy. The Internet forms a major source for energy consumption. Therefore, in this work we propose an algorithm for energy saving in distributed backbone networks, the reduced energy consumption (RedCon) algorithm. In this paper, we introduce a new version for saving energy on the Internet by switching off underutilized links and switching on idle links when the network is overloaded in a distributed manner over the network nodes based on LSA messages and without any knowledge of the traffic matrix. Our algorithm is more accurate and outperforms other algorithms with its time checks and advanced learning algorithm.
6
Kumar, Manish, Rajeev Tripathi, and Sudarshan Tiwari. "A Weighted Routing Scheme for Industrial Wireless Sensor Networks." International Journal of Wireless Networks and Broadband Technologies 4, no. 2 (April 2015): 1–14. http://dx.doi.org/10.4018/ijwnbt.2015040101.
Full textAbstract:
The WSNs replace the medium of communication from wired to wireless in industrial environment. This offer several advantages that includes easy and fast installation, low-cost maintenance and energy saving. In industrial monitoring and control application, the sensory measures should be delivered to control center in predefined deadline time, so the necessary actions may timely initiated. The geographical routing as reactive routing protocol plays a massive role for real-time packet delivery. The proposed routing protocol follows path discovery on demand basis to reduce the path discovery overhead. Moreover, the routing protocol follows weighted forwarding node selection process. This selects the shorter path over speedy reliable links for smaller deadline time and distributes the traffic over energy efficient node for larger deadline time. Through simulation, the authors demonstrate, compared to existing routing protocol the proposed routing protocol improves the packet delivery ratio along with enhanced network life while maintaining the high energy efficiency and low delivery latency.
7
Puype, Bart, Willem Vereecken, Didier Colle, Mario Pickavet, and Piet Demeester. "Multilayer traffic engineering for energy efficiency." Photonic Network Communications 21, no. 2 (September 10, 2010): 127–40. http://dx.doi.org/10.1007/s11107-010-0287-6.
Full text
8
Cherbal, Sarra, Abdellah Boukerram, and Abdelhak Boubetra. "Locality-Awareness and Replication for an Adaptive CHORD to MANet." International Journal of Distributed Systems and Technologies 8, no. 3 (July 2017): 1–24. http://dx.doi.org/10.4018/ijdst.2017070101.
Full textAbstract:
Structured peer-to-peer (P2P) systems have shown over time a high performance to P2P users. They are typically applied on Internet and wired networks. On the other hand, the evolution of mobile devices and the popularity of infrastructure-less wireless networks as mobile ad-hoc networks (MANET), make of them an interesting underlay for P2P overlays. However, their energy consumption stills a critical element with limited-energy batteries, and the most principal cause of energy consumption is the immense overhead. The aim of this work is to apply the Chord protocol on MANET underlay, in order to benefit from the efficient content-sharing process and the infrastructure-less mobility. At the same time, this work aims to conserve a good level of energy consumption and network lifetime. Therefore, it proposes a novel mechanism of locality awareness and replication of data that attempts to improve the lookup efficiency and reduce the traffic overhead.
9
Jiang, Ding De, Wen Juan Wang, Wei Han Zhang, Peng Zhang, and Ya Li. "Qos Constraints-Based Energy-Efficient Model for IP Networks." Advanced Materials Research 765-767 (September 2013): 1747–51. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1747.
Full textAbstract:
This paper proposes an energy-efficient model to overcome the energy-efficient problem in large-scale IP networks, based on QoS constraints. To characterize network energy consumption, we present a link energy consumption model based on the sleep and speed scaling mechanisms. If there is no traffic on a link, let it sleep, or activate it and divide its energy consumption into base energy consumption and traffic energy consumption. And then according to the link energy consumption model, we can build our energy-efficient model to improve the network energy efficiency. Finally, simulation results show that our model can significantly improve the network energy efficiency.
10
Zhang, Di, Zhenyu Zhou, Zhengyu Zhu, and Shahid Mumtaz. "Energy Efficiency Analysis of ICN Assisted 5G IoT System." Wireless Communications and Mobile Computing 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6579467.
Full textAbstract:
Other than separately investing the energy efficiency (EE) merits of information-centric networking’s (ICN’s) caching and sharing (CS) mechanism in wireless communications, here we comprehensively compare the EE performances of ICN’s CS mechanism in different scenarios. A modified system model is first proposed while introducing the CS mechanism into the in-network router, base station (BS), and neighboring user sides. Afterwards, the system achievable sum rate as well as the power consumptions in wireless and wired sections is investigated. The EE performances of different scenarios are finally obtained by dividing the achievable sum rate by the consumed power. While comparing the three scenarios, numerical results demonstrate that the optimal place to cache the content is mainly determined by the distance and hub number of the core routers that passed.
Dissertations / Theses on the topic "Energy efficiency, traffic engineering, wired networks"
1
Carpa, Radu. "Energy Efficient Traffic Engineering in Software Defined Networks." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN065/document.
Full textAbstract:
Ce travail a pour but d'améliorer l'efficacité énergétique des réseaux de cœur en éteignant un sous-ensemble de liens par une approche SDN (Software Defined Network). Nous nous différencions des nombreux travaux de ce domaine par une réactivité accrue aux variations des conditions réseaux. Cela a été rendu possible grâce à une complexité calculatoire réduite et une attention particulière au surcoût induit par les échanges de données. Pour valider les solutions proposées, nous les avons testées sur une plateforme spécialement construite à cet effet.Dans la première partie de cette thèse, nous présentons l'architecture logicielle ``SegmenT Routing based Energy Efficient Traffic Engineering'' (STREETE). Le cœur de la solution repose sur un re-routage dynamique du trafic en fonction de la charge du réseau dans le but d'éteindre certains liens peu utilisés. Cette solution utilise des algorithmes de graphes dynamiques pour réduire la complexité calculatoire et atteindre des temps de calcul de l'ordre des millisecondes sur un réseau de 50 nœuds. Nos solutions ont aussi été validées sur une plateforme de test comprenant le contrôleur SDN ONOS et des commutateurs OpenFlow. Nous comparons nos algorithmes aux solutions optimales obtenues grâce à des techniques de programmation linéaires en nombres entiers et montrons que le nombre de liens allumés peut être efficacement réduit pour diminuer la consommation électrique tout en évitant de surcharger le réseau.Dans la deuxième partie de cette thèse, nous cherchons à améliorer la performance de STREETE dans le cas d’une forte charge, qui ne peut pas être écoulée par le réseau si des algorithmes de routages à plus courts chemins sont utilisés. Nous analysons des méthodes d'équilibrage de charge pour obtenir un placement presque optimal des flux dans le réseau.Dans la dernière partie, nous évaluons la combinaison des deux techniques proposées précédemment : STREETE avec équilibrage de charge. Ensuite, nous utilisons notre plateforme de test pour analyser l'impact de re-routages fréquents sur les flux TCP. Cela nous permet de donner des indications sur des améliorations à prendre en compte afin d'éviter des instabilités causées par des basculements incontrôlés des flux réseau entre des chemins alternatifs. Nous croyons à l'importance de fournir des résultats reproductibles à la communauté scientifique. Ainsi, une grande partie des résultats présentés dans cette thèse peuvent être facilement reproduits à l'aide des instructions et logiciels fournisThis work seeks to improve the energy efficiency of backbone networks by automatically managing the paths of network flows to reduce the over-provisioning. Compared to numerous works in this field, we stand out by focusing on low computational complexity and smooth deployment of the proposed solution in the context of Software Defined Networks (SDN). To ensure that we meet these requirements, we validate the proposed solutions on a network testbed built for this purpose. Moreover, we believe that it is indispensable for the research community in computer science to improve the reproducibility of experiments. Thus, one can reproduce most of the results presented in this thesis by following a couple of simple steps. In the first part of this thesis, we present a framework for putting links and line cards into sleep mode during off-peak periods and rapidly bringing them back on when more network capacity is needed. The solution, which we term ``SegmenT Routing based Energy Efficient Traffic Engineering'' (STREETE), was implemented using state-of-art dynamic graph algorithms. STREETE achieves execution times of tens of milliseconds on a 50-node network. The approach was also validated on a testbed using the ONOS SDN controller along with OpenFlow switches. We compared our algorithm against optimal solutions obtained via a Mixed Integer Linear Programming (MILP) model to demonstrate that it can effectively prevent network congestion, avoid turning-on unneeded links, and provide excellent energy-efficiency. The second part of this thesis studies solutions for maximizing the utilization of existing components to extend the STREETE framework to workloads that are not very well handled by its original form. This includes the high network loads that cannot be routed through the network without a fine-grained management of the flows. In this part, we diverge from the shortest path routing, which is traditionally used in computer networks, and perform a particular load balancing of the network flows. In the last part of this thesis, we combine STREETE with the proposed load balancing technique and evaluate the performance of this combination both regarding turned-off links and in its ability to keep the network out of congestion. After that, we use our network testbed to evaluate the impact of our solutions on the TCP flows and provide an intuition about the additional constraints that must be considered to avoid instabilities due to traffic oscillations between multiple paths
2
Ghuman, Karanjot Singh. "Improving Energy Efficiency and Bandwidth Utilization in Data Center Networks Using Segment Routing." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35846.
Full textAbstract:
In today’s scenario, energy efficiency has become one of the most crucial issues for Data Center Networks (DCN). This paper analyses the energy saving capability of a Data center network using Segment Routing (SR) based model within a Software Defined Network (SDN) architecture. Energy efficiency is measured in terms of number of links turned off and for how long the links remain in sleep mode. Apart from saving the energy by turning off links, our work further efficiently manages the traffic within the available links by using Per-packet based load balancing approach. Aiming to avoid congestion within DCN’s and increase the sleeping time of inactive links. An algorithm for deciding the particular set of links to be turned off within a network is presented. With the introduction of per-packet approach within SR/SDN model, we have successfully saved 21 % of energy within DCN topology. Results show that the proposed Per-packet SR model using Random Packet Spraying (RPS) saves more energy and provides better performance as compared to Per-flow based SR model, which uses Equal Cost Multiple Path (ECMP) for load balancing. But, certain problems also come into picture using per-packet approach, like out of order packets and longer end to end delay. To further solidify the effect of SR in saving energy within DCN and avoid previously introduced problems, we have used per-flow based Flow Reservation approach along with a proposed Flow Scheduling Algorithm. Flow rate of all incoming flows can be deduced using Flow reservation approach, which is further used by Flow Scheduling Algorithm to increase Bandwidth utilization Ratio of links. Ultimately, managing the traffic more efficiently and increasing the sleeping time of links, leading to more energy savings. Results show that, the energy savings are almost similar in per-packet based approach and per-flow based approach with bandwidth reservation. Except, the average sleeping time of links in per-flow based approach with bandwidth reservation decreases less severely as compared to per-packet based approach, as overall traffic load increases.
3
Mowla, Md Munjure. "Next generation wireless communication networks: Energy and quality of service considerations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2158.
Full textAbstract:
The rapid growth in global mobile phone users has resulted in an ever-increasing demand for bandwidth and enhanced quality-of-service (QoS). Several consortia comprising major international mobile operators, infrastructure manufacturers, and academic institutions are working to develop the next generation wireless communication systems fifth generation (5G) - to support high data rates and increased QoS. 5G systems are also expected to represent a greener alternative for communication systems, which is important because power consumption from the information and communication technology (ICT) sector is forecast to increase significantly by 2030. The deployment of ultra-dense heterogeneous small cell networks (SCNs) is expected to play a major role in meeting the explosive growth of user traffic demand in 5G wireless communication systems. However, while the concept of small cells in heterogeneous networks (HetNets) largely addresses the bandwidth scarcity problem, unless otherwise carefully managed, a large number of uncoordinated and lightly loaded SCNs will significantly increase the access network power consumption, contrary to the green communication target of 5G systems. In addition, to cater for the huge volumes of traffic, the backhaul network power consumption will also increase.
This thesis addresses the research challenges facing 5G systems in regard to energy efficiency and QoS. The thesis examines ways to reduce power consumption in access networks, how to design green backhauling solutions, how to develop synergy between wired and wireless backhauling options, and how to increase energy efficiency in a weather-dependent backhaul network without hindering network QoS. Different system models and solution techniques are investigated in order to successfully minimize overall power consumption in 5G HetNets while maintaining network QoS.
The thesis contributes as follows: first, an energy-efficient resource management system is introduced to minimize access network power consumption; second, two green backhauling solutions, one for wired optical backhaul and the other for wireless millimeter wave (mmWave) backhaul, are presented; third, a synergy is developed between two energy-efficient backhauling solutions to reduce power consumption; fourth, the impacts of SCN topology and mmWave spectrum are presented; and finally, a hybrid free-space optics (FSO)/mmWave channel model is introduced to minimize power consumption for weather-dependent channels. Each phase of the research listed above also investigates the network QoS, i.e., average delay and jitter for 5G HetNets.
The research presented in this thesis therefore contributes new knowledge in energy efficiency and QoS for next generation wireless communication networks and makes important contributions to this field by investigating different system models and proposing solutions to significant issues.
4
Bianzino, Aruna Prem. "ENERGY AWARE TRAFFIC ENGINEERING IN WIRED COMMUNICATION NETWORKS." Doctoral thesis, 2012. http://hdl.handle.net/11583/2695226.
Full textAbstract:
The reduction of power consumption in communication networks has become a key
issue for both the Internet Service Providers (ISP) and the research community. Ac-
cording to different studies, the power consumption of Information and Communication
Technologies (ICT) varies from 2% to 10% of the worldwide power consumption [1,2].
Moreover, the expected trends for the future predict a notably increase of the ICT power
consumption, doubling its value by 2020 [2] and growing to around 30% of the worldwide
electricity demand by 2030 according to business-as-usual evaluation scenarios [15]. It
is therefore not surprising that researchers, manufacturers and network providers are
spending significant efforts to reduce the power consumption of ICT systems from dif-
ferent angles.
To this extent, networking devices waste a considerable amount of power. In partic-
ular, their power consumption has always been increased in the last years, coupled with
the increase of the offered performance [16]. Actually, power consumption of network-
ing devices scales with the installed capacity, rather than the current load [17]. Thus,
for an ISP the network power consumption is practically constant, unrespectively to
traffic fluctuations. However, actual traffic is subject to strong day/night oscillations [3].
Thus, many devices are underutilized, especially during off-peak hours when traffic is
low. This represents a clear opportunity for saving energy, since many resources (i.e.,
routers and links) are powered on without being fully utilized.
In this context, resource consolidation is a known paradigm for the reduction of
the power consumption. It consists in having a carefully selected subset of network
devices entering a low power state, and use the rest to transport the required amount
of traffic. This is possible without disrupting the Quality of Service (QoS) offered by
the network infrastructure, since communication networks are designed over the peak
foreseen traffic request, and with redundancy and over-provisioning in mind.
In this thesis work, we present different techniques to perform resource consolida-
tion in backbone IP-based networks, ranging from centralized solutions, where a central
entity computes a global solution based on an omniscient vision of the network, to dis-
tributed solutions, where single nodes take independent decisions on the local power-
state, based solely on local knowledge. Moreover, different technological assumptions
are made, to account for different possible directions of the network devices evolutions, ranging from the possibility to switch off linecard ports, to whole network nodes, and taking into account different power consumption profiles.
Book chapters on the topic "Energy efficiency, traffic engineering, wired networks"
1
Chong, Zhijiat, and Eduard Jorswieck. "Analytical Foundation for Energy Efficiency Optimisation in Cellular Networks with Elastic Traffic." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 18–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29479-2_2.
Full text
2
Banerjee, Anuradha. "Fuzzy-Controlled Energy-Conservation Technique (FET) for Mobile ad hoc Networks." In Handbook of Research on Computational Intelligence for Engineering, Science, and Business, 556–70. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2518-1.ch021.
Full textAbstract:
Nodes in ad hoc networks have limited battery power; hence, they require energy efficient techniques to improve average node lifetime and network performance. Maintaining energy efficiency in network communication is really challenging because highest energy efficiency is achieved if all the nodes are switched off and maximum network throughput is obtained if all the nodes are fully operational, i.e. always turned on. A promising energy conservation technique for the ad hoc networks must maintain effective packet forwarding capacity while turning off the network interface of very busy nodes for some time and redirecting the traffic through some comparatively idle nodes roaming around them. This also helps in fair load distribution in the network and maintenance of network connectivity by reducing the death rate (complete exhaustion of nodes). The present chapter proposes a fuzzy-controlled energy conservation technique (FET) that identifies the busy and idle nodes to canalize some traffic of busy nodes through the idle ones. In simulation section, the FET embedded versions of several state-of-the-art routing protocols in ad hoc networks are compared with their ordinary versions and the results quite emphatically establish the superiority of FET-embedded versions in terms of packet delivery ratio, message cost, and network energy consumption. End-to-end delay also reduces significantly.
3
Maruthakutti, Maheswari, Loganathan Nachimuthu, and Suthanthira Vanitha N. "Role of Smart Metering and Implementation Issues in Smart Grid." In Advances in Computer and Electrical Engineering, 29–47. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4027-5.ch002.
Full textAbstract:
Smart grid provides the digital technology that allows for two-way communication between the utility and the customers. The smart grid consists of controls, computers, automation, and new technologies and equipment working together. The smart grid will move the energy industry into a new era of reliability, availability, and efficiency with economic and environmental health. A smart meter plays a major role in the smart grid and it is an electronic device that measures and records the energy consumption. It enables two-way communication between the meter and the supplier through advanced metering infrastructure (AMI). The mode of communication is enabled by either wireless or wired. The wireless communication includes Wi-Fi, wireless mesh networks, Zig Bee, cellular communications, and low power range Wi-Fi. This chapter deliberates about the evolution of electricity metering, major components of smart meter, communication infrastructure and protocols for smart metering, demand-side integration, recent developments, issues faced and solutions, merits and demerits.
4
Goundar, Sam, Akashdeep Bhardwaj, Safiya Shameeza Nur, Shonal S. Kumar, and Rajneet Harish. "Industrial Internet of Things." In Advances in Computer and Electrical Engineering, 133–48. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3375-8.ch010.
Full textAbstract:
This chapter focused on the importance and influence of industrial internet of things (IIoT) and the way industries operate around the world and the value added for society by the internet-connected technologies. Industry 4.0 and internet of things (IoT)-enabled systems where communication between products, systems, and machinery are used to improve manufacturing efficiency. Human operators' intervention and interaction is significantly reduced by connecting machines and creating intelligent networks along the entire value chain that can communicate and control each other autonomously. The difference between IoT and IIoT is that where consumer IoT often focuses on convenience for individual consumers, industrial IoT is strongly focused on improving the efficiency, safety, and productivity of operations with a focus on return on investment. The possibilities with IIoT is unlimited, for example, smarter and more efficient factories, greener energy generation, self-regulating buildings that optimize energy consumption, smart cities that can adjust traffic patterns to respond to congestion.
Conference papers on the topic "Energy efficiency, traffic engineering, wired networks"
1
Gandotra, Rahil, and Levi Perigo. "A Comprehensive Survey of Energy-Efficiency Approaches in Wired Networks." In 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111822.
Full textAbstract:
Energy consumption by the network infrastructure is growing expeditiously with the rise of the Internet. Critical research efforts have been pursued by academia, industry and governments to make networks, such as the Internet, operate more energy efficiently and reduce their power consumption. This work presents an in-depth survey of the approaches to reduce energy consumption in wired networks by first categorizing existing research into broad categories and then presenting the specific techniques, research challenges, and important conclusions. At abroad level, we present five categories of approaches for energy efficiency in wired networks – (i) sleeping of network elements, (ii) link rate adaptation, (iii) proxying, (iv) store and forward, and (v) network traffic aggregation. Additionally, this survey reviews work in energy modeling and measurement, energy-related standards and metrics, and enumerates discussion points for future work and motivations.
2
Addis, Bernardetta, Antonio Capone, Giuliana Carello, Luca G. Gianoli, and Brunilde Sanso. "Multi-period traffic engineering of resilient networks for energy efficiency." In 2012 IEEE Online Conference on Green Communications (GreenCom). IEEE, 2012. http://dx.doi.org/10.1109/greencom.2012.6519609.
Full text
3
Maswood, Mirza Mohd Shahriar, Chris Develder, Edmundo Madeira, and Deep Medhi. "Dynamic Virtual Network Traffic Engineering with Energy Efficiency in Multi-location Data Center Networks." In 2016 28th International Teletraffic Congress (ITC 28). IEEE, 2016. http://dx.doi.org/10.1109/itc-28.2016.111.
Full text
4
Koizumi, Yuki, Junji Takemasa, and Toru Hasegawa. "A Game-Theoretic Approach to Resolve Conflict Between Traffic Engineering for Energy Efficiency and Load Balancing." In 2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN). IEEE, 2018. http://dx.doi.org/10.1109/lanman.2018.8475046.
Full text