scholarly journals Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4455 ◽  
Author(s):  
Vicente Mayor ◽  
Rafael Estepa ◽  
Antonio Estepa ◽  
Germán Madinabeitia
Keyword(s):  
Energy Consumption ◽  
Heuristic Search ◽  
Optimal Placement ◽  
Total Power ◽  
Radio Communication ◽  
Large Area ◽  
Communication Services ◽  
Total Power Consumption ◽  
Heuristic Search Methods ◽  
User Density

This paper formulates a new problem for the optimal placement of Unmanned Aerial Vehicles (UAVs) geared towards wireless coverage provision for Voice over WiFi (VoWiFi) service to a set of ground users confined in an open area. Our objective function is constrained by coverage and by VoIP speech quality and minimizes the ratio between the number of UAVs deployed and energy efficiency in UAVs, hence providing the layout that requires fewer UAVs per hour of service. Solutions provide the number and position of UAVs to be deployed, and are found using well-known heuristic search methods such as genetic algorithms (used for the initial deployment of UAVs), or particle swarm optimization (used for the periodical update of the positions). We examine two communication services: (a) one bidirectional VoWiFi channel per user; (b) single broadcast VoWiFi channel for announcements. For these services, we study the results obtained for an increasing number of users confined in a small area of 100 m2 as well as in a large area of 10,000 m2. Results show that the drone turnover rate is related to both users’ sparsity and the number of users served by each UAV. For the unicast service, the ratio of UAVs per hour of service tends to increase with user sparsity and the power of radio communication represents 14–16% of the total UAV energy consumption depending on ground user density. In large areas, solutions tend to locate UAVs at higher altitudes seeking increased coverage, which increases energy consumption due to hovering. However, in the VoWiFi broadcast communication service, the traffic is scarce, and solutions are mostly constrained only by coverage. This results in fewer UAVs deployed, less total power consumption (between 20% and 75%), and less sensitivity to the number of served users.

scholarly journals Sustainable Protected Cropping: A Case Study of Seasonal Impacts on Greenhouse Energy Consumption during Capsicum Production

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4468 ◽  
Author(s):  
Premaratne Samaranayake ◽  
Weiguang Liang ◽  
Zhong-Hua Chen ◽  
David Tissue ◽  
Yi-Chen Lan
Keyword(s):  
Energy Consumption ◽  
Crop Production ◽  
Global Climate ◽  
Energy Requirement ◽  
External Environment ◽  
Hot Water ◽  
Total Power ◽  
High Tech ◽  
Total Power Consumption ◽  
Daily Energy

Sustainable food production in protected cropping is increasing rapidly in response to global climate change and population growth. However, there are significant knowledge gaps regarding energy consumption while achieving optimum environmental conditions for greenhouse crop production. A capsicum crop cultivated in a high-tech greenhouse facility in Australia was analysed in terms of relationships between key environmental variables and the comparative analysis of energy consumption during different seasons. We showed that daily energy consumption varied due to the seasonal nature of the external environment and maintenance of optimal growing temperatures. Total power consumption reported throughout the entire crop cycle for heating (gas hot water system) and cooling (pad and fan) was 12,503 and 5183 kWh, respectively; hence, heating consumed ca. 70% of the total energy requirement over the 8-month growing period (early spring to late autumn) in the greenhouse facility. Regressions of daily energy consumption within each season, designated either predominantly for heating or cooling, indicated that energy consumption was 14.62 kWh per 1 °C heating and 2.23 kWh per 1 °C cooling. Therefore, changing the planting date to late spring is likely to significantly reduce heating energy costs for greenhouse capsicum growers in Australia. The findings will provide useful guidelines to maximise the greenhouse production of capsicum with better economic return by taking into consideration the potential optimal energy saving strategy during different external environment conditions and seasons.

scholarly journals Design Sleep Mode and Wakeup Method for OpenFlow Switches

2015 ◽  
pp. 10
Author(s):  
Tran Hoang Vu ◽  
Vu Cong Luc
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Performance Evaluations ◽  
Total Power ◽  
Sleep Mode ◽  
Total Power Consumption ◽  
Switch Mode ◽  
Reduce Energy Consumption ◽  
Management Modes ◽  
And Performance

In  this  paper,  we  present  a  design  and  an evaluation  of  two  power  management  modes  that reduce the  energy  consumption  of OpenFlow switches. First,  we  define  two  new  low  power  modes:  SLEEP PORT  and  SLEEP  SWITCH,  which  reduce   energy consumption   in  cases  where  packets  on  port  or switches  are  absent.  Second,  we  present  a  Wake  on LAN  (WOL)  method  for  OpenFlow  Switches  to  wake up  Ethernet  ports  or  the  whole  switch  from  inactive states.  Finally,  we  describe  our  design,  experimental results and  performance evaluations. Our results show that the control SLEEP PORT mode on a switch might save  about 9.8% power consumption per  port,  and  up to about 60% of total power consumption of the switch with SLEEP  SWITCH mode.  In  addition,  we  will implement  this  method  to  Openflow  Switch  bases  on NetFPGA- 10 Gigabit in the future.

scholarly journals Quantitative evaluation of the nexus between water and energy in China

2021 ◽  
Vol 267 ◽  
pp. 01006
Author(s):  
Guohua He ◽  
Xiaoling Li ◽  
Shan Jiang ◽  
Yongnan Zhu ◽  
Fan He ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Quantitative Evaluation ◽  
Water Consumption ◽  
Water Cycle ◽  
Total Power ◽  
Total Power Consumption ◽  
Research Period

This paper takes each province and region as the research object and 2017 as the research period, and the energy consumption of China’s social water cycle process was analyzed. The results showed that the total power consumption of China’s social water cycle process was 1082.81 billion kWh, accounting for 17.2% of the total power consumption of China’s society in 2017. Terminal water consumption is the biggest energy consumption. Based on the calculated results, this study puts forward relevant suggestions for realizing energy-water coordinated security.

scholarly journals An investigation of cutting parameters effect on sound level, surface roughness, and power consumption during machining of hardened AISI 4140

2020 ◽  
Vol 21 (5) ◽  
pp. 523
Author(s):  
Abidin Şahinoğlu ◽  
Efehan Ulas
Keyword(s):  
Surface Roughness ◽  
Energy Consumption ◽  
Power Consumption ◽  
Feed Rate ◽  
Cutting Speed ◽  
Total Power ◽  
Depth Of Cut ◽  
Machining Time ◽  
Total Power Consumption ◽  
Aisi 4140

In recent years, the necessity for energy in the manufacturing industry has become an important problem because fossil fuel reserves are decreasing in order to produce energy. Therefore, the efficient use of energy has become an important research topic. In this study, energy efficiency is investigated in detail for sustainable life and manufacturing. AISI 4140 material with high hardness of 50 HRC hardness has been applied cryogenic process to improve mechanical and machinability properties. In this experiment study, the effects of feed rate (0.04, 0.08, 0.12 mm/rev), cutting speed (140, 160, 180 m/min), depth of cut (0.05, 0.10, 0.15 mm) and tool radius (0.4, 0.8) on energy consumption, surface roughness and sound intensity were investigated. Then, a new mathematical model with high accuracy was developed. Total power consumption was calculated by considering the instantaneous current value and machining time. As a result, it is found that good surface quality obtained when the feed rate is low, and the tool radius is high and the machining time is shortened, the energy consumption is reduced due to the increase in cutting speed, depth of cut and feed rate. Also, it is found that the tool radius has a limited effect on energy consumption, but low feed value increases energy consumption.

scholarly journals Wireless sensor node with low-power sensing

2014 ◽  
Vol 27 (3) ◽  
pp. 435-453 ◽  
Author(s):  
Goran Nikolic ◽  
Mile Stojcev ◽  
Zoran Stamenkovic ◽  
Goran Panic ◽  
Branislav Petrovic
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Total Power ◽  
Power Gating ◽  
Duty Cycling ◽  
Total Power Consumption ◽  
Node Architecture

Wireless sensor network consists of a large number of simple sensor nodes that collect information from external environment with sensors, then process the information, and communicate with other neighboring nodes in the network. Usually, sensor nodes operate with exhaustible batteries unattended. Since manual replacement or recharging of the batteries is not an easy, desirable or always possible task, the power consumption becomes a very important issue in the development of these networks. The total power consumption of a node is a result of all steps of the operation: sensing, data processing and radio transmission. In most published papers in literature it is assumed that the sensing subsystem consumes significantly less energy than a radio block. However, this assumption does not apply in numerous applications, especially in the case when power consumption of the sensing activity is comparably bigger than that of a radio. In that context, in this work we focus on the impact of the sensing hardware on the total power consumption of a sensor node. Firstly, we describe the structure of the sensor node architecture, identify its key energy consumption sources, and introduce an energy model for the sensing subsystem as a building block of a node. Secondly, with the aim to reduce energy consumption we investigate joint effectiveness of two common power-saving techniques in a specific sensor node: duty-cycling and power-gating. Duty-cycling is effective at the system level. It is used for switching a node between active and sleep mode (with the duty-cycle factor of 1%, the reduction of in dynamic energy consumption is achieved). Power-gating is used at the circuit level with the goal to decrease the power loss due to the leakage current (in our design, the reduction of dynamic and static energy consumption of off-chip sensor elements as constituents of sensing hardware within a node of is achieved). Compared to a sensor node architecture in which both energy saving techniques are omitted, the conducted MATLsimulation results suggest that in total, thanks to involving duty-cycling and power-gating techniques, a three order of magnitude reduction for sensing activities in energy consumption can be achieved.

scholarly journals Dynamic Transmit Profile Selection in Dense Wireless Networks

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 134
Author(s):  
Łukasz Kułacz ◽  
Adrian Kliks ◽  
Paweł Kryszkiewicz ◽  
Bartosz Bossy
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Wireless Network ◽  
Network Reliability ◽  
Signal To Noise Ratio ◽  
Routing Algorithm ◽  
Total Power ◽  
Message Delivery ◽  
Total Power Consumption ◽  
Dense Wireless Networks

The development of wireless networks can be characterized by both the increased number of deployed network nodes as well as their greater heterogeneity. As a consequence, the distance between the neighboring nodes decreases significantly, the density of such a wireless network is very high, and it brings to the mind the analogy to the human brain and nervous system, where a highly simplified scheme of information delivery is applied. Motivated by this similarity, in this paper, we study the possibility of the application of various transmission profiles in order to optimize the overall energy consumption in such dense wireless networks. The transmission profile specifies the radio access and energy consumption of the wireless transceiver (network node), and is characterized by the tuple of parameters, e.g., the total transmit power or minimal required signal-to-noise ratio (SNR). In the considered multi-hop network, we assume that each node can be set to the most promising transmission profile to achieve some predefined goals, such as (sensor) network reliability or transmission energy efficiency. We have proposed the new graph-based routing algorithm in such a dense wireless network, where total power consumption of message delivery is minimized by multihop and multimode transmission. The theoretical definition of the prospective transmission schemes is supported by the analysis of the results of the simulation experiments.

scholarly journals An Economical and Precise Cooling Model and Its Application in a Single-Cylinder Diesel Engine

2021 ◽  
Vol 11 (15) ◽  
pp. 6749
Author(s):  
Zhifeng Xie ◽  
Ao Wang ◽  
Zhuoran Liu
Keyword(s):  
Diesel Engine ◽  
Cooling System ◽  
Combustion Engine ◽  
Electronic Control Unit ◽  
Total Power ◽  
Dynamical Characteristic ◽  
Water Jacket ◽  
Single Cylinder ◽  
Pump Speed ◽  
Total Power Consumption

The cooling system is an important subsystem of an internal combustion engine, which plays a vital role in the engine’s dynamical characteristic, the fuel economy, and emission output performance at each speed and load. This paper proposes an economical and precise model for an electric cooling system, including the modeling of engine heat rejection, water jacket temperature, and other parts of the cooling system. This model ensures that the engine operates precisely at the designated temperature and the total power consumption of the cooling system takes the minimum value at some power proportion of fan and pump. Speed maps for the cooling fan and pump at different speeds and loads of engine are predicted, which can be stored in the electronic control unit (ECU). This model was validated on a single-cylinder diesel engine, called the DK32. Furthermore, it was used to tune the temperature of the water jacket precisely. The results show that in the common use case, the electric cooling system can save the power of 255 W in contrast with the mechanical cooling system, which is about 1.9% of the engine’s power output. In addition, the validation results of the DK32 engine meet the non-road mobile machinery China-IV emission standards.

scholarly journals On-CMOS Image Sensor Processing for Lane Detection

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3713
Author(s):  
Soyeon Lee ◽  
Bohyeok Jeong ◽  
Keunyeol Park ◽  
Minkyu Song ◽  
Soo Youn Kim
Keyword(s):  
Edge Detection ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Image Resolution ◽  
Lane Detection ◽  
Frame Rate ◽  
Total Power ◽  
Detection Accuracy ◽  
Total Power Consumption

This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detection mask can detect the edges of slanting lanes to improve accuracy. A prototype of the proposed CIS was fabricated using a 110 nm CIS process. It has an image resolution of 160 (H) × 120 (V) and a frame rate of 113, and it occupies an area of 5900 μm × 5240 μm. A comparison of its lane detection accuracy with that of existing edge detection algorithms shows that it achieves an acceptable accuracy. Moreover, the total power consumption of the proposed CIS is 9.7 mW at pixel, analog, and digital supply voltages of 3.3, 3.3, and 1.5 V, respectively.

scholarly journals Efficient Operation Method of Aquifer Thermal Energy Storage System Using Demand Response

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3129
Author(s):  
Jewon Oh ◽  
Daisuke Sumiyoshi ◽  
Masatoshi Nishioka ◽  
Hyunbae Kim
Keyword(s):  
Energy Storage ◽  
Power Consumption ◽  
Thermal Energy ◽  
Demand Response ◽  
Thermal Energy Storage ◽  
Heat Storage ◽  
Storage System ◽  
Total Power ◽  
Operation Method ◽  
Total Power Consumption

The mass introduction of renewable energy is essential to reduce carbon dioxide emissions. We examined an operation method that combines the surplus energy of photovoltaic power generation using demand response (DR), which recognizes the balance between power supply and demand, with an aquifer heat storage system. In the case that predicts the occurrence of DR and performs DR storage and heat dissipation operation, the result was an operation that can suppress daytime power consumption without increasing total power consumption. Case 1-2, which performs nighttime heat storage operation for about 6 h, has become an operation that suppresses daytime power consumption by more than 60%. Furthermore, the increase in total power consumption was suppressed by combining DR heat storage operation. The long night heat storage operation did not use up the heat storage amount. Therefore, it is recommended to the heat storage operation at night as much as possible before DR occurs. In the target area of this study, the underground temperature was 19.1 °C, the room temperature during cooling was about 25 °C and groundwater could be used as the heat source. The aquifer thermal energy storage (ATES) system in this study uses three wells, and consists of a well that pumps groundwater, a heat storage well that stores heat and a well that used heat and then returns it. Care must be taken using such an operation method depending on the layer configuration.

scholarly journals Energy Recovery Potential in Industrial and Municipal Wastewater Networks Using Micro-Hydropower in Spain

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 691
Author(s):  
Aida Mérida García ◽  
Juan Antonio Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Recovery ◽  
Energy Production ◽  
Municipal Wastewater ◽  
Distribution Networks ◽  
Total Power ◽  
Energy Potential ◽  
Total Energy Consumption ◽  
Recovery Potential

The use of micro-hydropower (MHP) for energy recovery in water distribution networks is becoming increasingly widespread. The incorporation of this technology, which offers low-cost solutions, allows for the reduction of greenhouse gas emissions linked to energy consumption. In this work, the MHP energy recovery potential in Spain from all available wastewater discharges, both municipal and private industrial, was assessed, based on discharge licenses. From a total of 16,778 licenses, less than 1% of the sites presented an MHP potential higher than 2 kW, with a total power potential between 3.31 and 3.54 MW. This total was distributed between industry, fish farms and municipal wastewater treatment plants following the proportion 51–54%, 14–13% and 35–33%, respectively. The total energy production estimated reached 29 GWh∙year−1, from which 80% corresponded to sites with power potential over 15 kW. Energy-related industries, not included in previous investigations, amounted to 45% of the total energy potential for Spain, a finding which could greatly influence MHP potential estimates across the world. The estimated energy production represented a potential CO2 emission savings of around 11 thousand tonnes, with a corresponding reduction between M€ 2.11 and M€ 4.24 in the total energy consumption in the country.

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