scholarly journals Improving Energy Efficiency of Multimedia Content Dissemination by Adaptive Clustering and D2D Multicast

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Long Yin ◽  
Jinsong Gui ◽  
Zhiwen Zeng
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Multimedia Content ◽  
Game Model ◽  
Multicast Group ◽  
Content Dissemination ◽  
Adaptive Clustering ◽  
Group Members ◽  
Multicast Communications

While achieving desired performance, there exist still many challenges in current cellular networks to support the multimedia content dissemination services. The conventional multimedia transmission schemes tend to serve all multicast group members with the data rate supported by the receiving user with the worst channel condition. The recent work discusses how to provide satisfactory quality of service (QoS) for all receiving users with different quality of experience (QoE) requirements, but the energy efficiency improvement of multimedia content dissemination is not its focus. In this paper, we address it based on adaptive clustering and device-to-device (D2D) multicast and propose an energy-efficient multimedia content dissemination scheme under a consistent QoE constraint. Our scheme extends the recent work with the proposed K-means-based D2D clustering method and the proposed game-based incentive mechanism, which can improve energy efficiency of multimedia content dissemination on the premise of ensuring the desired QoE for most multicast group members. In the proposed scheme, we jointly consider the cellular multicast, intracluster D2D multicast, and intercluster D2D multicast for designing the energy-efficient multimedia content dissemination scheme. In particular, we formulate the energy-efficient multicast transmission problem as a Stackelberg game model, where the macro base station (MBS) is the leader and the candidate D2D cluster heads (DCHs) are the followers. Also, the MBS acts as the buyer who buys the power from the candidate DCHs for intracluster and intercluster D2D multicast communications, and the candidate DCHs act as the sellers who earn reward by helping the MBS with D2D multicast communications. Through analyzing the above game model, we derive the Stackelberg equilibrium as the optimal allocation for cellular multicast power, intracluster D2D multicast power, and intercluster D2D multicast power, which can maximize the MBS’s utility function. Finally, the proposed scheme is verified through the simulation experiments designed in this paper.

scholarly journals Energy Efficiency Optimization of Cognitive UAV-Assisted Edge Communication for Semantic Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yilong Gu ◽  
Yangchao Huang ◽  
Hang Hu ◽  
Weiting Gao ◽  
Yu Pan
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Optimization Scheme ◽  
Battery Capacity ◽  
Aerial Vehicle ◽  
Efficient Alternative ◽  
The Internet Of Things

With the consolidation of the Internet of Things (IoT), the unmanned aerial vehicle- (UAV-) based IoT has attracted much attention in recent years. In the IoT, cognitive UAV can not only overcome the problem of spectrum scarcity but also improve the communication quality of the edge nodes. However, due to the generation of massive and redundant IoT data, it is difficult to realize the mutual understanding between UAV and ground nodes. At the same time, the performance of the UAV is severely limited by its battery capacity. In order to form an autonomous and energy-efficient IoT system, we investigate semantically driven cognitive UAV networks to maximize the energy efficiency (EE). The semantic device model for cognitive UAV-assisted IoT communication is constructed. And the sensing time, the flight speed of UAV, and the coverage range of UAV communication are jointly optimized to maximize the EE. Then, an efficient alternative algorithm is proposed to solve the optimization problem. Finally, we provide computer simulations to validate the proposed algorithm. The performance of the joint optimization scheme based on the proposed algorithm is compared to some benchmark schemes. And the simulation results show that the proposed scheme can obtain the optimal system parameters and can significantly improve the EE.

A Virtual Machine Placement Algorithm with Energy-Efficiency in Cloud Computing

2017 ◽  
Vol 8 (2) ◽  
pp. 20-36
Author(s):  
Yu Cai
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Virtual Machines ◽  
Live Migration ◽  
Vm Placement ◽  
Server Cluster ◽  
Simulated Environment ◽  
Resource Requirements ◽  
Placement Algorithm

Energy efficient virtual machines (VM) management and distribution on cloud platforms is an important research subject. Mapping VMs into PMs (Physical Machines) requires knowing the capacity of each PM and the resource requirements of the VMs. It should also take into accounts of VM operation overheads, the reliability of PMs, Quality of Service (QoS) in addition to energy efficiency. In this article, the authors propose an energy efficient statistical live VM placement scheme in a heterogeneous server cluster. Their scheme supports VM requests scheduling and live migration to minimize the number of active servers in order to save the overall energy in a virtualized server cluster. Specifically, the proposed VM placement scheme incorporates all VM operation overheads in the dynamic migration process. In addition, it considers other important factors in relation to energy consumption and is ready to be extended with more considerations on user demands. The authors conducted extensive evaluations based on HPC jobs in a simulated environment. The results prove the effectiveness of the proposed scheme.

scholarly journals ENERGY EFFICIENT DRYING OF SEEDS OF CEREAL CROPS

2020 ◽  
pp. 64-70
Author(s):  
Vadym Paziuk
Keyword(s):  
Energy Efficiency ◽  
Low Temperatures ◽  
Energy Efficient ◽  
High Energy ◽  
Biochemical Properties ◽  
Drying Process ◽  
Seed Material ◽  
Technical Solutions ◽  
Low Temperature Drying

Many researchers at different times have been engaged in drying cereals to preserve their nutritional properties, which is associated with the biochemical properties of materials. The technologies for drying grain crops have been developed and improved with the given recommendations aimed at carrying out the drying process at high temperatures (above 100 ° C). But the increased requirements for seed grains and the associated high energy costs do not allow the drying process to be carried out efficiently, since with large grain volumes this leads to a significant increase in material costs. The study of the laws of drying of seeds of cereals in view of improving the energy efficiency of the process is relevant. Energy efficiency is one of the main parameters influencing the choice of drying mode. In traditional technologies for drying seed material, it is dried at low temperatures, which does not allow to significantly intensify the process by increasing the temperature of the coolant, as this significantly reduces the quality of the material. The state of the art makes it possible to more accurately investigate and analyze the drying processes of cereal seeds with automatic processing and plotting of drying kinetics. The results of previous researchers were conducted on existing grain dryers, in which it is difficult to evaluate and give the correct recommendations for drying the seed material. This is due to the peculiarities of the drying process and the design of the grain dryer. To adequately assess the drying regimes, studies of drying seeds of cereals at low temperatures were carried out to preserve the seed properties of the material. To increase the energy efficiency of the drying process, a step-by-step descending low-temperature drying mode is proposed, which provides the required quality of seed material. All the proposed technical solutions for the introduction of energy-efficient regimes in the process of drying grain seeds were implemented in the recommendations for industrial drying in mine direct-flow grain dryers.

scholarly journals Mobility-Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Dmitry Kozyrev ◽  
Aleksandr Ometov ◽  
Dmitri Moltchanov ◽  
Vladimir Rykov ◽  
Dmitry Efrosinin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Power Efficiency ◽  
Base Stations ◽  
Mathematical Framework ◽  
Content Dissemination ◽  
Iot Devices ◽  
The Impact ◽  
New Infrastructure

Today, the number of interconnected Internet of Things (IoT) devices is growing tremendously followed by an increase in the density of cellular base stations. This trend has an adverse effect on the power efficiency of communication, since each new infrastructure node requires a significant amount of energy. Numerous enablers are already in place to offload the scarce cellular spectrum, thus allowing utilization of more energy-efficient short-range radio technologies for user content dissemination, such as moving relay stations and network-assisted direct connectivity. In this work, we contribute a new mathematical framework aimed at analyzing the impact of network offloading on the probabilistic characteristics related to the quality of service and thus helping relieve the energy burden on infrastructure network deployments.

scholarly journals Substantiation of the Energy Efficient Schedules of Drying Grain Seeds

2021 ◽  
Vol 14(63) (2) ◽  
pp. 137-146
Author(s):  
Vadim PAZIUK ◽  
◽  
Vitalii VYSHNEVSKIY ◽  
Oleksii TOKARCHUK ◽  
Ihor KUPCHUK ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Low Temperature ◽  
Energy Efficient ◽  
Column Type ◽  
Process Energy ◽  
Technical Solutions ◽  
Low Temperature Drying ◽  
Required Quality ◽  
Heat Agent

It is important to study the patterns of drying grain seeds in order to improve the energy efficiency of the process. Energy efficiency is one of the main parameters that define the choice of a drying schedule. Traditional drying technologies are based on low temperature schedules, which do not allow significantly intensifying the process by increasing the temperature of the heat agent because of substantial reductions in the quality of the material. To adequately assess the drying schedules, we conducted the study of drying grain seeds at low temperatures aimed to preserve the seed properties of the material. To increase the energy efficiency of the drying process, a step-by-step descending low-temperature drying schedule was suggested, which provides for the required quality of seed material. All the proposed technical solutions for the energy-efficient schedules of drying grain seeds were summarized in the recommendations for industrial drying in column type direct-flow grain dryers.

scholarly journals An Energy-Efficient Secure Forwarding Scheme for QoS Guarantee in Wireless Sensor Networks

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1418
Author(s):  
Dongwan Kim ◽  
Jaekeun Yun ◽  
Daehee Kim
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Qos Guarantee ◽  
End To End ◽  
Qos Requirement

Many wireless sensor network (WSN) applications require both security and quality-of-service (QoS) to be guaranteed simultaneously. However, ensuring both security and QoS is not trivial in WSNs since security normally has bad impact on QoS. In this paper, we propose an energy-efficient secure forwarding method that minimizes energy consumption while meeting both security and QoS requirements at the same time. To accomplish this goal, we alternatively use hop-by-hop security for conserving energy through data aggregation and end-to-end security to satisfy the QoS requirement. We further analyze why hop-by-hop security with data aggregation provide better energy efficiency than end-to-end security without aggregation in detail. The simulation result shows that our proposed method outperforms other scheme in terms of energy efficiency while meeting both QoS and security.

scholarly journals EASR: Graph-based Framework for Energy Efficient Smart Routing in MANET using Availability Zones

2015 ◽  
Vol 5 (6) ◽  
pp. 1381
Author(s):  
Ramanna Havinal ◽  
Girish V Attimarad ◽  
M N Giriprasad
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Efficient Algorithms ◽  
Adoption Rate

Energy consumption in MobileAdhoc Network (MANET) is a topic of research from more than a decade. Althoughthere are multiple archival of literatures, that have proposed variousenergy-efficient algorithms for reducing the energy consumption to improveenergy efficiency. Establishing correct and reliable route is important designissue in MANET, but a more challenging goal is to provide energy efficientroute. But, it was observed that majority of such energy efficient routingprotocols just give symptomatic solution which addresses and mitigated theenergy issues overlooking various associated issues like quality of services.Moreover, in majority of research previous studies it is found that AODV andDSDV are highly in adoption rate among the researcher for solving energy issuesusing routing protocols. This manuscript after reviewing some of thesignificant literatures in past explored issues in existing AODV and DSDVand  proposes a novel energy efficientrouting protocols by incorporating a new actor called availability zone. Theproposed model shows better energy efficiency and QoS compared to AODV andDSDV.

scholarly journals Energy efficiency is the most important indicator of the quality of food grinders

2019 ◽  
Vol 81 (2) ◽  
pp. 56-62
Author(s):  
O. V. Islamova ◽  
A. Z. Tokov ◽  
F. A. Ataeva
Keyword(s):  
Energy Efficiency ◽  
Cross Sections ◽  
Energy Efficient ◽  
Raw Materials ◽  
Grinding Process ◽  
Taper Angle ◽  
Important Indicator ◽  
Energy Consuming ◽  
Blade Cutting

A brief analysis of the methods of grinding technological raw materials from the standpoint of energy efficiency has been performed. Studies show that cutting (grinding) the feedstock into pieces of a certain size is the most energy-intensive. Existing designs of cutting elements of grinding mechanisms (cutting blade, cutting edge) are not optimal from the standpoint of energy efficiency. For example, the cutting blade in the working hole has a taper angle of 90°, and the taper angle of the cutting blade on the blades of the movable knife is also in the range of 80–90°. It is proposed to make the sharpening angles of the cutting blades on the blades of a movable knife equal to 5–8°. In addition, the blades of such a knife should have the shape of a classic wedge in all cross sections. Reducing the angle of sharpening of the cutting blade in the working hole of the grill to such values does not succeed in terms of design features (in particular, without violating transparency indicators). The reserves of reducing the angle of sharpening of the cutting blade in the working hole are shown (this angle can be less than 90°). The performed studies indicate that the smaller the energy costs for grinding the feedstock, the less it is rubbed and squeezed out of the holes of the grate. It can be assumed that the organoleptic properties did not deteriorate after grinding (but remained). The lower the transparency of the lattice, the grinding process is more energy-consuming. The smaller the sharpening angles of the cutting blades of the knives, the more energy-efficient the grinding process. The worse the quality of the crushed raw materials, for example, meat, which is characterized by the excessive presence of connective and cartilage tissues, films, etc., the more energy-efficient is the grinding process with knives with cutting blades with minimal sharpening angles.

scholarly journals Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xia Wu ◽  
Jin-Ling Xu ◽  
Ming Chen ◽  
Junbo Wang
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Energy Efficient ◽  
Primary User ◽  
Joint Optimization ◽  
Secondary Users ◽  
Function Of Two Variables ◽  
Sensing Time

We consider a joint optimization of sensing parameter and power allocation for an energy-efficient cognitive radio network (CRN) in which the primary user (PU) is protected. The optimization problem to maximize the energy efficiency of CRN is formulated as a function of two variables, which are sensing time and transmit power, subject to the average interference power to the PU and the target detection probability. During the optimizing process, the quality of service parameter (the minimum rate acceptable to secondary users (SUs)) has also been taken into consideration. The optimal solutions are analyzed and an algorithm combined with fractional programming that maximizes the energy efficiency for CRN is presented. Numerical results show that the performance improvement is achieved by the joint optimization of sensing time and power allocation.

scholarly journals Energy-Efficient Economy as a Condition of Human Capital Reproduction

2019 ◽  
Vol 62 ◽  
pp. 09004
Author(s):  
O.V. Pogharnitskaya ◽  
E.G. Matyugina ◽  
E.S. Terdi
Keyword(s):  
Quality Of Life ◽  
Energy Efficiency ◽  
Sustainable Development ◽  
Human Capital ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Life Quality ◽  
Wide Variability

The article is devoted to assessment of quantitative and qualitative human capital reproduction in energy-efficient economy provided by research of correlation between dynamics of energy consumption and transformation of life quality. The purpose of the research is to assess the role of energy-efficient economy in shaping of the conditions for human capital reproduction as a way of investment into its qualitative development. To achieve this purpose transformation of traditional spheres of sustainable development together with the implementation of the energy-efficient economy approaches in terms of maintaining of quality of human capital are considered. We conduct a study comparing several dependencies: development of productive powers - increasing requirements for the quality of human capital; ensuring effective reproduction - improving the quality of life, improving the quality of life associated with the economic system; GDP – energy consumption; GDP - CO2 emissions. The object of the study is dynamics of indicators characterizing the above dependencies, a number of the countries – members of the OECD – having an expanded human capital reproduction. Examined countries demonstrate correlation between energy efficiency of economy and quality of human capital with rather a wide variability of chosen indicators. Results of the research may become a base for forecast of development of studied indicators and their factors.

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