مصرف انرژی

Open Access Article

1 - Energy-efficient and Privacy preserving Data Aggreration in wireless sensor networks
zahra zare

Energy consumption is ranked among the major problems of research in wireless sensor networks(WSNs). The main reason for nodes failure is the discharge of batteries in sensor networks. Therefore, energy consumption plays an important role in wireless sensor networks. Da More

Energy consumption is ranked among the major problems of research in wireless sensor networks(WSNs). The main reason for nodes failure is the discharge of batteries in sensor networks. Therefore, energy consumption plays an important role in wireless sensor networks. Data aggregation can greatly help to reduce this consumption by eliminating redundant data, and using clustering methods for data aggregation helps to further reduce energy consumption. Sensor nodes are prone to node compromise attacks which cause an adversary to change the aggregation result and inject false data into the WSN, hence security issues such as data confidentiality and integrity are extremely important. Because both data aggregation and security are critical for wireless sensor networks, achieving secure data aggregation that protects integrity is a critical issue. In this paper, we present a secure data aggregation method called Energy-Efficient and Privacy-Preserving Data Aggregation using our clustering algorithm which is an improvement on LEACH protocol and Homomorphic Encryption technique. Manuscript profile

Open Access Article

2 - Increasing the value of collected data and reducing energy consumption by using network coding and mobile sinks in wireless sensor networks
ehsan kharati

The wireless sensor network includes a number of fixed sensor nodes that move sink nodes to collect data between nodes. To reduce energy consumption and increase the value of collected data, it is necessary to determine the optimum route and residence location of mobile More

The wireless sensor network includes a number of fixed sensor nodes that move sink nodes to collect data between nodes. To reduce energy consumption and increase the value of collected data, it is necessary to determine the optimum route and residence location of mobile sinks, which increases the life of wireless sensor networks. Using network coding, this paper presents a Mixed Integer Linear Programming Model to determine the optimal multicast routing of source sensor nodes to mobile sinks in wireless sensor networks, which determines the time and location of sinks to collect maximum coded data and reduces the delay in sink movement and energy consumption. Solving this problem in polynomial time is not possible due to the involvement of various parameters and the constrained resources of wireless sensor networks. Therefore, several exploratory and greedy and fully distributed algorithms are proposed to determine the movement of sinks and their residence location based on maximizing the value of coded data and the type of data dead time. By simulating, the optimal method and the use of coding and proposed algorithms, reduce the runtime and energy consumption and increase the value of collected data and network lifetime than non-coding methods. Manuscript profile

Open Access Article

3 - PLAER: Penalty Base Learning Automata for Energy Aware Routing in WSN
M. Parvizi Omran A. Moeni H. Haj Seyyed Javadi

Sensors in WSN work with batteries that have limited energy capacity. Therefore, reduction in power consumption is a very important issue. In this paper, we present a new routing algorithm to reduce power consumption in wireless sensor networks. This algorithm deploys L More

Sensors in WSN work with batteries that have limited energy capacity. Therefore, reduction in power consumption is a very important issue. In this paper, we present a new routing algorithm to reduce power consumption in wireless sensor networks. This algorithm deploys Learning automata in each node to find a suitable path for routing data packets. In order to aim this goal the algorithm uses penalty based approach in learning automata and considers energy level of nodes and latency of packet delivery as well. Performance of our new developed algorithm has been compared with LABER and BEAR protocols in OMNET++ simulator. Simulation results show that, in a network with static nodes, energy consumption and control packets reduce significantly and network lifetime increases in comparison with two other protocols. Manuscript profile

Open Access Article

4 - Next Hop Selection to Configuring the Route in LEAP Protocol Based on Fuzzy Logic in WSNs
Vahid Sattari-Naeini F. Movahhedi

Since in wireless sensor networks, selection of next hop is critical in attack avoidance and lowering the power consumption, a method based on fuzzy logic is proposed in this paper considering status and report transmission of the nodes. In this method, the next hop is More

Since in wireless sensor networks, selection of next hop is critical in attack avoidance and lowering the power consumption, a method based on fuzzy logic is proposed in this paper considering status and report transmission of the nodes. In this method, the next hop is selected considering four factors, based on fuzzy logic system. These factors, indicating four optimized parameters; i.e., degree of node proximity to the shortest path, degree of node proximity to the sink, residual energy ratio of each node, and the number of false filtered messages. This method leads to an increase in energy level as well as maintaining security level in comparison with LEAP protocol. Meanwhile, it is possible to identify safe paths. Comparing with other related methods, it is shown that this method leads to significant reduction in energy consumption level and consequently the life-time of the network is increased. Meanwhile with selecting the appropriate next hop, packet drops are reduced as well. Manuscript profile

Open Access Article

5 - Green Cloud Computing with Reduced Energy Consumption in Live Migration Prioritizing Services
Mohammad Rostami Salman Goli

Today, the rapid growth in cloud computing resources usage has increased energy consumption in data centers. Green cloud computing goal is to decrease the energy consumption of data centers. In the meantime, service aggregation is a good method to reduce energy consumpt More

Today, the rapid growth in cloud computing resources usage has increased energy consumption in data centers. Green cloud computing goal is to decrease the energy consumption of data centers. In the meantime, service aggregation is a good method to reduce energy consumption in these systems. Existing aggregation methods with unnecessary migration, the unbalanced workload of hosts, and ignoring the relationship between services may reduce the quality of service and increase energy consumption. Therefore, in this study, by migrating the necessary services based on priority (including the number of children, the level and communication cost of each service), from hosts with the unbalanced workload to hosts that contain partner services, the productivity of available resources is improved and the energy consumption is decreased. Live services migration based on prioritizing and minimizing the number of migrations can also lead to response time decrease and system efficiency increase. The proposed method can lead to an 11.79% decrease in energy consumption, a 12.15% reduction in the number of service migrations, and a 1.55% increase in the number of hosts that have been shut down. Manuscript profile

Open Access Article

6 - Performance Improvement of Polynomial Neural Network Classifier using Whale Optimization Algorithm
Mahsa Memari A. Harifi a. Khalili

Polynomial neural network (PNN) is a supervised learning algorithm which is one of the most popular models used in real applications. The architectural complexity of polynomial neural network in terms of both number of partial descriptions (PDs) and number of layers, le More

Polynomial neural network (PNN) is a supervised learning algorithm which is one of the most popular models used in real applications. The architectural complexity of polynomial neural network in terms of both number of partial descriptions (PDs) and number of layers, leads to more computation time and more storage space requirement. In general, it can be said that the architecture of the polynomial neural networks is very complex and it requires large memory and computation time. In this research, a novel approach has been proposed to improve the classification performance of a polynomial neural network using the Whale Optimization Algorithm (PNN-WOA). In this approach, the PDs are generated at the first layer based on the combination of two features. The second layer nodes consists of PDs generated in the first layer, input variables and bias. Finally, the polynomial neural network output is obtained by sum of weighted values of the second layer outputs. Using the Whale Optimization Algorithm (WOA), the best vector of weighting coefficients will be obtained in such a way that the PNN network reach to the highest classification accuracy. Eleven different dataset from UCI database has been used as input data of proposed PNN-WOA and the results has been presented. The proposed method outperforms state-of-the-art approaches such as PNN-RCGA, PNN-MOPPSO, RCPNN-PSO and S-TWSVM in most cases. For datasets, an improvement of accuracy between 0.18% and 10.33% can be seen. Also, the results of the Friedman test indicate the statistical superiority of the proposed PNN-WOA model compared to other methods with p value of 0.039. Manuscript profile

Open Access Article

7 - Provide an Energy-aware Markov Based Model for Dynamic Placement of Virtual Machines in Cloud Data Centers
mehdi rajabzadeh Abolfazl Toroghi Haghighat Amir Masoud Rahmani

The use of energy-conscious solutions is one of the important research topics in the field of cloud computing. By effectively using virtual machine placement and aggregation algorithms, cloud suppliers will be able to reduce energy consumption. In this paper, a new mode More

The use of energy-conscious solutions is one of the important research topics in the field of cloud computing. By effectively using virtual machine placement and aggregation algorithms, cloud suppliers will be able to reduce energy consumption. In this paper, a new model is presented that seeks to achieve the desired results by improving the algorithms and providing appropriate methods. Periodic monitoring of resource status, proper analysis of the data obtained, and prediction of the critical state of the servers using the proposed Markov model have reduced the number of unnecessary migrations as much as possible. The combination of genetic algorithm and simulated annealing in the replacement section along with the definition of the adsorbent Markov chain has resulted in better and faster performance of the proposed algorithm. Simulations performed in different scenarios in CloudSim show that compared to the best algorithm compared, at low, medium and high load, energy consumption has decreased significantly. Violations of service level agreements also fell by an average of 17 percent. Manuscript profile

Open Access Article

8 - Optimum orientation of the building with the aim of optimal shading and reducing energy consumption (Case Study: Tehran Music Hall)
Tiam Aram Javad Eiraji

The increasing trend of population growth, the energy crisis, and the depletion of energy resources on the planet are all warnings for all sciences and in all fields and professions in order to help sustain the existing situation. Since a large amount of energy consumpt More

The increasing trend of population growth, the energy crisis, and the depletion of energy resources on the planet are all warnings for all sciences and in all fields and professions in order to help sustain the existing situation. Since a large amount of energy consumption in the world is spent on construction purposes, specifically on cooling and heating loads and creating thermal comfort in the building, a study in this field is significantly important. In this research, by choosing a building as a case study, the amount of sunlight received by vertical surfaces has been investigated. Then, using the simulation method and related software, different angles between zero and 180 degrees of rotation are considered for the building to optimize the orientation angle of the building. The optimal angle means that the minimum amount of solar energy is received on vertical surfaces and the maximum amount of shading. Numerous research has been conducted in the past years about the amount of sunlight received in the building and the optimal angle. However, the used software and the measurement on vertical surfaces in Tehran in this research are considered research innovations. The optimal angle results from building energy analysis charts are displayed in this research. Manuscript profile

Open Access Article

9 - The prespective investigation of energy consumption and greenhouse gas emissions using the LEAP model (Case Study: Gorgan)
Maryam Ghaderian Abdolrasool Salman Mahini hamidreza kamyab

This study evaluated and analyzed energy consumption and greenhouse gas emissions in Gorgan. For this purpose, the demand and supply model of Gorgan was developed based on the baseline scenario and scenarios of improving energy consumption using the LEAP model until 141 More

This study evaluated and analyzed energy consumption and greenhouse gas emissions in Gorgan. For this purpose, the demand and supply model of Gorgan was developed based on the baseline scenario and scenarios of improving energy consumption using the LEAP model until 1414 (2035). In recent years, various strategies have been proposed to optimize energy consumption, which is among the most important strategies to reduce energy consumption and environmental emissions on an urban scale. These strategies generally include 1- Gradual increase of energy carrier prices according to the law of targeted subsidies, 2- Management of energy in the direction of the energy demand of the city, 3- Development of renewable energy technologies in the direction of demand and, 4- Increase of CNG share in the urban transport sector. First, each of these solutions was evaluated in the form of a scenario in the model environment and then their impact on energy consumption and environmental emissions was investigated. Finally, a new scenario was defined as the energy policy of Gorgan, which is the result of a combination of the four scenarios mentioned and indicates the simultaneous implementation of all strategies to improve energy and environmental emissions in Gorgan. At the end of the research, suggestions on energy consumption optimization based on the energy policy scenario of Gorgan are presented. Manuscript profile

Open Access Article

10 - Investigating the effects of intelligent architecture in the interior design of the house on energy saving
Seyedeh Maryam Mojtabavi Behnaz Bananezhad Mashhadi

Today, with the advancement of technology, it is possible to update building components to increase the level of human-technology interaction, provide more comfort, achieve security, safety, comfort and better control in the residential space. Also, the energy shortage More

Today, with the advancement of technology, it is possible to update building components to increase the level of human-technology interaction, provide more comfort, achieve security, safety, comfort and better control in the residential space. Also, the energy shortage crisis around the world has become one of the most serious human problems, and smart architecture can reduce the consumption of fossil fuels, reduce electricity and gas consumption, reduce greenhouse gas production, and reduce harmful environmental effects, for this reason it is necessary to Intelligence should be used in interior architecture. The purpose of this research is to investigate the effects of using technology in the building and the impact of smart elements on the lives of residents, especially in optimizing energy consumption. The present research method is qualitative in nature and practical in terms of purpose. In the first step, by reviewing the theoretical foundations and research background in the field of intelligentization and energy optimization, information was collected through library-documentary studies, analyzed through content analysis, then the elements of intelligentization were extracted in the form of a conceptual model. In the second step, the effects of intelligentization on improving the quality of residents were investigated, and in the last step, the performance of indicators of intelligentization that reduce energy consumption was analyzed. The findings showed that one of the effects of technology on building construction is intelligentization, which through "smart materials and materials", "sensors", "security and safety control system and monitoring" and "service equipment" can improve economic, psychological and physical components. and the environment to improve the quality of life of the residents and it can be implemented by two methods, wired and wireless. One of the most important effects of intelligentization is the reduction of energy consumption from the environmental component, the performance of each of the elements is presented in a diagram. Manuscript profile

Open Access Article

11 - Reviewing the Design Parameters of the Building -Envelope in Order to Reduce Energy Consumption (Case Study: Contemporary Residential Buildings in District 15)
Reza Salimi Gargari seyed majid mofidi Haniyeh Sanaieian

The quality of the internal spaces and the impacts it has on the building's energy consumption depend critically on the right and optimal design of the building facade, which plays a significant function as the structure's envelope.Taking into account the facade's cruci More

The quality of the internal spaces and the impacts it has on the building's energy consumption depend critically on the right and optimal design of the building facade, which plays a significant function as the structure's envelope.Taking into account the facade's crucial function as the building's outer shell on On the other hand, new evaluation methods that designers and architects can utilize in the early stages of design must be replaced due to the time-consuming and challenging existing methods of optimization. The building's exterior envelope has an impact on both the outside environment and the urban environment in addition to shielding the inside environment from outside environmental conditions. Walls, ceilings, windows, doors, and other building elements are among its many parts. The goal of the current study is to create a thorough taxonomy of local structures while also examining the impact of building facade factors on their thermal behavior and energy usage. For this reason, the anatomical parameters of the façade are thoroughly studied in the first step by methodically studying sources and comparable research, and then the various types of facades in area 15 are examined. It should be noted that this article is only the first of a thorough investigation into facade design alternatives for energy consumption reduction. Following the completion of the investigations, the area's GIS map was extensively analyzed, and various and typical types were extracted using a field approach. According to the results of the field research and the components of the facade covering, the average area, orientation, length-to-width ratio, and frequency of parts are examined. The final types are extracted in the second stage after the buildings with the same length of view are classified in accordance with the map and the locations of the spaces in the main view. Manuscript profile

Open Access Article

12 - The effect of renewable energy and financial development on carbon emissions based on consumption in Iran
seyed jalal tabatabaei

The current research has investigated the effect of financial development and renewable energy consumption on carbon emissions based on consumption in Iran by controlling the variables of economic growth and electricity consumption in the period from 1990 to 2021. After More

The current research has investigated the effect of financial development and renewable energy consumption on carbon emissions based on consumption in Iran by controlling the variables of economic growth and electricity consumption in the period from 1990 to 2021. After examining the Manai test of the research variables using modified Dickey-Fuller and Ziot-Andrews tests, Bayer and Hank's cointegration test was performed to check the existence of collinearity between the research variables. Then, autoregressive distributed lag estimators, fully modified ordinary least squares, dynamic ordinary least squares and gradual shift causality test were used to investigate the long-term relationship of variables and their causal relationship. The results clearly show that financial development and renewable energy consumption reduce carbon emissions based on consumption in Iran, and economic development and financial development increase carbon emissions based on consumption. The results of the test of gradual causal changes have confirmed the main results of the estimation methods used. Therefore, policymakers in Iran should encourage research and development in low-carbon technologies and also target investments in renewable energy and reduce the level of non-renewable energy imports and avoid investing in high energy consumption sectors that lead to an increase Avoid carbon emissions based on consumption. Manuscript profile

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