Optimization-assisted water supplement mechanism with energy efficiency in IoT based greenhouse

Remarkable resource management and energy efficiency improvements can be achieved in greenhouses using innovative technological advancements and modern agricultural methods. Deployment of Internet of Things (IoT) and optimization algorithms in greenhouse farming is highly desirable for real-time monitoring and controlling various parameters with optimal solutions. However, IoT based greenhouses require more energy as compared to traditional farming. This paper proposes an optimal greenhouse water supplement mechanism with efficient energy consumption based on IoT and optimization techniques. The first contribution of this study is to gather the actual water and soil moisture levels from the greenhouse and tank using IoT devices. Secondly, the formulation and deployment of an objective function to compute the optimal water and soil moisture levels for greenhouse and tank based on user-desired settings, the system constraints and actual sensing values. We applied a rule-based expert system to activate water pumps with the required flow rate and operational duration to achieve efficient energy consumption. To prove the effectiveness of the proposed concept, embedded IoT devices and objective function for optimization are deployed as well as, a number of experiments are conducted to provide the optimal water and soil moisture levels in a real greenhouse and water tank environment.

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Improving Energy Efficiency in Internet of Things using Artificial Bee Colony Algorithm

Recent Patents on Engineering ◽

10.2174/1872212114999200616164642 ◽

2020 ◽

Vol 14 ◽

Author(s):

M. Sivaram ◽

V. Porkodi ◽

Amin Salih Mohammed ◽

S. Anbu Karuppusamy

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Artificial Bee Colony ◽

Trust Model ◽

Sensor Nodes ◽

Remote Areas ◽

Bee Colony ◽

Important Concern ◽

Wide Range ◽

Iot Devices

Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities help to reduce the constraint demands of the current security protocols. Aim: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem in IoT and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, energy efficiency in WSNs has been an important concern. Methods: Hence, in this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial attempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability.

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Intelligent Optimization Mechanism Based on an Objective Function for Efficient Home Appliances Control in an Embedded Edge Platform

Electronics ◽

10.3390/electronics10121460 ◽

2021 ◽

Vol 10 (12) ◽

pp. 1460

Author(s):

Rongxu Xu ◽

Wenquan Jin ◽

Yonggeun Hong ◽

Do-Hyeun Kim

Keyword(s):

Machine Learning ◽

Cloud Computing ◽

Energy Consumption ◽

Objective Function ◽

Smart Home ◽

Edge Computing ◽

Rule Based ◽

Home Appliances ◽

Iot Devices ◽

Optimization Mechanism

In recent years the ever-expanding internet of things (IoT) is becoming more empowered to revolutionize our world with the advent of cutting-edge features and intelligence in an IoT ecosystem. Thanks to the development of the IoT, researchers have devoted themselves to technologies that convert a conventional home into an intelligent occupants-aware place to manage electric resources with autonomous devices to deal with excess energy consumption and providing a comfortable living environment. There are studies to supplement the innate shortcomings of the IoT and improve intelligence by using cloud computing and machine learning. However, the machine learning-based autonomous control devices lack flexibility, and cloud computing is challenging with latency and security. In this paper, we propose a rule-based optimization mechanism on an embedded edge platform to provide dynamic home appliance control and advanced intelligence in a smart home. To provide actional control ability, we design and developed a rule-based objective function in the EdgeX edge computing platform to control the temperature states of the smart home. Compared to cloud computing, edge computing can provide faster response and higher quality of services. The edge computing paradigm provides better analysis, processing, and storage abilities to the data generated from the IoT sensors to enhance the capability of IoT devices concerning computing, storage, and network resources. In order to satisfy the paradigm of distributed edge computing, all the services are implemented as microservices. The microservices are connected to each other through REST APIs based on the constrained IoT devices to provide all the functionalities that accomplish a trade-off between energy consumption and occupant-desired environment setting for the smart home appliances. We simulated our proposed system to control the temperature of a smart home; through experimental findings, we investigated the application against the delay time and overall memory consumption by the embedded edge system of EdgeX. The result of this research work suggests that the implemented services operated efficiently in the raspberry pi 3 hardware of IoT devices.

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Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot

Robotica ◽

10.1017/s0263574719000407 ◽

2019 ◽

Vol 37 (11) ◽

pp. 1998-2009 ◽

Cited By ~ 4

Author(s):

Francisco Valero ◽

Francisco Rubio ◽

Carlos Llopis-Albert

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Mobile Robot ◽

Optimization Algorithm ◽

Random Distribution ◽

Lower Cost ◽

Maximum Velocity ◽

Optimization Techniques ◽

Sequential Optimization ◽

Inertial Parameters

SummaryReducing the energy consumed by a car-like mobile robot makes it possible to move at a lower cost, yet it takes more working time. This paper proposes an optimization algorithm for trajectories with optimal times and analyzes the consequences of restricting the energy consumed on the trajectory obtained for a car-like robot. When modeling the dynamic behavior of the vehicle, it is necessary to consider its inertial parameters, the behavior of the motor, and the basic properties of the tire in its interaction with the ground. To obtain collision-free, minimum-time trajectories quadratic sequential optimization techniques are used, where the objective function is the time taken by the robot to move between two given configurations. This is subject to constraints relating to the vehicle and tires as well as the energy consumed, which is the basis for this paper. We work with a real random distribution of consumed energy values following a normal Gaussian distribution in order to analyze its influence on the trajectories obtained by the vehicle. The energy consumed, the time taken, the maximum velocity reached, and the distance traveled are analyzed in order to characterize the properties of the trajectories obtained. The proposed algorithm has been applied to 101 examples, showing that the computational times needed to obtain the solutions are always lower than those required to realize the trajectories. The results obtained allow us to reach conclusions about the energy efficiency of the trajectories.

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An Optimization Scheme Based on Fuzzy Logic Control for Efficient Energy Consumption in Hydroponics Environment

Energies ◽

10.3390/en13020289 ◽

2020 ◽

Vol 13 (2) ◽

pp. 289 ◽

Cited By ~ 5

Author(s):

Azimbek Khudoyberdiev ◽

Shabir Ahmad ◽

Israr Ullah ◽

DoHyeun Kim

Keyword(s):

Fuzzy Logic ◽

Energy Consumption ◽

Objective Function ◽

Fuzzy Logic Control ◽

World Population ◽

Optimization Scheme ◽

Efficient Energy ◽

Logic Control ◽

The World ◽

The Cost

As the world population is increasing rapidly, food and water demands are the most crucial problem for humanity. In some areas of the world, water or environment is unsuitable for plant growth; hydroponic systems can provide a suitable environment for crop production with effective management of natural resources. Internet of Things paradigm based automated systems has been creating an excellent opportunity for monitoring and controlling agriculture by minimizing the cost and maximizing the profit significantly over the past decade. The reduction of the cost can be achieved by sufficient usage of resources and setting up optimum operational parameters for agricultural devices. This paper presents an optimization scheme with novel objective function for hydroponics environment parameters management with efficient energy consumption. The proposed approach provides optimal energy and resource utilization in the hydroponics system with setting up a working level and operational duration to the actuators. We have developed an optimization scheme with objective function for optimal humidity and water level control based on fuzzy logic, which can support the optimal measurement for crop growth with energy efficiency. Fuzzy logic control is applied for the compromise between actuators working level and operational duration. A real hydroponics environment has been implemented and presented to evaluate the effectiveness of the proposed approach. It can be assessed through the simulation results that the optimization module achieves a signification reduction (18%) in energy consumption as compared to the other scheme.

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Time Value of Energy as a Low-Cost Energy Efficiency Technique

Environmental and Climate Technologies ◽

10.2478/rtuect-2020-0081 ◽

2020 ◽

Vol 24 (3) ◽

pp. 1-10

Author(s):

Aiman Albatayneh ◽

Obieda Abueid ◽

Dariusz Alterman

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Energy Saving ◽

Low Cost ◽

Energy Levels ◽

Energy Relation ◽

Time Value ◽

Save Energy ◽

Time Required ◽

Water Pumps

AbstractEnergy efficiency is one of the most widely used tools for both energy saving and environmental protection against greenhouse gases. Some energy efficiency techniques are being used to reduce energy consumption. This research focuses on optimising the relation of time and energy, where the best scenario of energy-saving for specified applications will be considered with the time required in achieving these scenarios. To implement this, we adopt two engineering applications (car and water pumps) on each application, with specific constraints and parameters to test the time energy relation. It was being found that for both applications, there is an optimum engineering scenario where the least amount of energy (using the extra time to minimise energy consumption) can be achieved while the remaining cases will consume higher energy. For instance, for a specific type of car used in this study, the optimum car speed was found to be between 65–70 km h–1; at this speed, the car consumes the least amount of energy (around 137 MJ when travelling a distance of 100 km). All the speeds less than the optimum speed will consume more energy; the same is true when the speed is increased over the optimum. For the second application using water pumps, it was found that a 1.1 kW pump is the most efficient at pumping a specific amount of water, and using higher or lower rated pumps will consume higher energy levels but correspondingly will reduce the time required to perform the same application. This research emphasised the concept that time can save energy, which is not yet covered in the literature as time value of energy when time is not an essential aspect and can be delayed without affecting the main tasks.

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The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

The Open Fuels & Energy Science Journal ◽

10.2174/1876973x01508010206 ◽

2015 ◽

Vol 8 (1) ◽

pp. 206-210 ◽

Cited By ~ 2

Author(s):

Yu Junyang ◽

Hu Zhigang ◽

Han Yuanyuan

Keyword(s):

Energy Efficiency ◽

Cloud Computing ◽

Energy Consumption ◽

Energy Saving ◽

Energy Estimate ◽

Cloud Platform ◽

Periodic Tasks ◽

Current Consumption ◽

Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

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Pre- and post-operam comparison of the energy consumption of a radio base station under energy efficiency actions

Energy and Buildings ◽

10.1016/j.enbuild.2021.110772 ◽

2021 ◽

Vol 236 ◽

pp. 110772

Author(s):

Carmela Vetromile ◽

Antonio Spagnuolo ◽

Antonio Petraglia ◽

Antonio Masiello ◽

Maria Rosa di Cicco ◽

...

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Base Station

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Power and Performance Evaluation of Memory-Intensive Applications

Energies ◽

10.3390/en14144089 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4089

Author(s):

Kaiqiang Zhang ◽

Dongyang Ou ◽

Congfeng Jiang ◽

Yeliang Qiu ◽

Longchuan Yan

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Power Consumption ◽

Job Scheduling ◽

Memory System ◽

Processor Core ◽

Memory Efficiency ◽

And Performance ◽

Reasonable Use ◽

Server System

In terms of power and energy consumption, DRAMs play a key role in a modern server system as well as processors. Although power-aware scheduling is based on the proportion of energy between DRAM and other components, when running memory-intensive applications, the energy consumption of the whole server system will be significantly affected by the non-energy proportion of DRAM. Furthermore, modern servers usually use NUMA architecture to replace the original SMP architecture to increase its memory bandwidth. It is of great significance to study the energy efficiency of these two different memory architectures. Therefore, in order to explore the power consumption characteristics of servers under memory-intensive workload, this paper evaluates the power consumption and performance of memory-intensive applications in different generations of real rack servers. Through analysis, we find that: (1) Workload intensity and concurrent execution threads affects server power consumption, but a fully utilized memory system may not necessarily bring good energy efficiency indicators. (2) Even if the memory system is not fully utilized, the memory capacity of each processor core has a significant impact on application performance and server power consumption. (3) When running memory-intensive applications, memory utilization is not always a good indicator of server power consumption. (4) The reasonable use of the NUMA architecture will improve the memory energy efficiency significantly. The experimental results show that reasonable use of NUMA architecture can improve memory efficiency by 16% compared with SMP architecture, while unreasonable use of NUMA architecture reduces memory efficiency by 13%. The findings we present in this paper provide useful insights and guidance for system designers and data center operators to help them in energy-efficiency-aware job scheduling and energy conservation.

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Evaluation of Sustainable Energy Development Progress in EU Member States in the Context of Building Renovation

Energies ◽

10.3390/en14144209 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4209

Author(s):

Rita Remeikienė ◽

Ligita Gasparėnienė ◽

Aleksandra Fedajev ◽

Marek Szarucki ◽

Marija Đekić ◽

...

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Co2 Emissions ◽

Renewable Energy Sources ◽

Investment Efficiency ◽

The European Union ◽

Energy Usage ◽

Member States ◽

Eu Member States ◽

The Eu

The main goal of setting energy efficiency priorities is to find ways to reduce energy consumption without harming consumers and the environment. The renovation of buildings can be considered one of the main aspects of energy efficiency in the European Union (EU). In the EU, only 5% of the renovation projects have been able to yield energy-saving at the deep renovation level. No other study has thus far ranked the EU member states according to achieved results in terms of increased usage in renewable sources, a decrease in energy usage and import, and reduction in harmful gas emissions due to energy usage. The main purpose of this article is to perform a comparative analysis of EU economies according to selected indicators related to the usage of renewable resources, energy efficiency, and emissions of harmful gasses as a result of energy usage. The methodological contribution of our study is related to developing a complex and robust research method for investment efficiency assessment allowing the study of three groups of indicators related to the usage of renewable energy sources, energy efficiency, and ecological aspects of energy. It was based on the PROMETHEE II method and allows testing it in other time periods, as well as modifying it for research purposes. The EU member states were categorized by such criteria as energy from renewables and biofuels, final energy consumption from renewables and biofuels, gross electricity generation from renewables and biofuels and import dependency, and usage of renewables and biofuels for heating and cooling. The results of energy per unit of Gross Domestic Product (GDP), Greenhouse gasses (GHG) emissions per million inhabitants (ECO2), energy per capita, the share of CO2 emissions from public electricity, and heat production from total CO2 emissions revealed that Latvia, Sweden, Portugal, Croatia, Austria, Lithuania, Romania, Denmark, and Finland are the nine most advanced countries in the area under consideration. In the group of the most advanced countries, energy consumption from renewables and biofuels is higher than the EU average.

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Effects of Torso Pitch Motion on Energy Efficiency of Biped Robot Walking

Applied Sciences ◽

10.3390/app11052342 ◽

2021 ◽

Vol 11 (5) ◽

pp. 2342

Author(s):

Long Li ◽

Zhongqu Xie ◽

Xiang Luo ◽

Juanjuan Li

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Biped Robot ◽

Gait Pattern ◽

Pattern Generation ◽

Biped Robots ◽

Pitch Motion ◽

Double Support ◽

Gait Parameters ◽

Support Phase

Gait pattern generation has an important influence on the walking quality of biped robots. In most gait pattern generation methods, it is usually assumed that the torso keeps vertical during walking. It is very intuitive and simple. However, it may not be the most efficient. In this paper, we propose a gait pattern with torso pitch motion (TPM) during walking. We also present a gait pattern with torso keeping vertical (TKV) to study the effects of TPM on energy efficiency of biped robots. We define the cyclic gait of a five-link biped robot with several gait parameters. The gait parameters are determined by optimization. The optimization criterion is chosen to minimize the energy consumption per unit distance of the biped robot. Under this criterion, the optimal gait performances of TPM and TKV are compared over different step lengths and different gait periods. It is observed that (1) TPM saves more than 12% energy on average compared with TKV, and the main factor of energy-saving in TPM is the reduction of energy consumption of the swing knee in the double support phase and (2) the overall trend of torso motion is leaning forward in double support phase and leaning backward in single support phase, and the amplitude of the torso pitch motion increases as gait period or step length increases.

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