List of Articles energy consumption

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  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
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  2 - Investigating the Effect of Hardware Parameters Adjustments on Energy Consumption in Thin Matrix Multiplication Algorithm on GPUs
  mina ashouri Farshad Khunjush
  Multiplication of thin algorithmic matrices is a simple but very important part of linear and scientific algebra programs in mathematics and physics, and due to its parallel nature, GPUs are one of the most suitable and important options. To select its executive platfor More

  Multiplication of thin algorithmic matrices is a simple but very important part of linear and scientific algebra programs in mathematics and physics, and due to its parallel nature, GPUs are one of the most suitable and important options. To select its executive platform. In recent years, due to the emphasis of researchers to consider energy consumption as one of the main design goals along with efficiency, very little effort has been made to improve the energy consumption of this algorithm on the GPU. In this article, this issue is addressed from the perspective of energy efficiency in efficiency obtained. Utilizing the configuration capability introduced in modern GPUs, by statistically examining the behavior of this algorithm when using different thin matrix storage formats and different hardware settings for more than 200 matrices Slim example, the best configuration settings for the thin matrix multiplication algorithm with different storage formats on the GPU are obtained. This configuration for each storage format is selected to give the best configuration in all samples tested. Manuscript profile
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  3 - 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
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  4 - Reallocation of Virtual Machines to Cloud Data Centers to Reduce Service Level Agreement Violation and Energy Consumption Using the FMT Method
  Hojjat Farrahi Farimani Davoud  Bahrepour Seyed Reza Kamel Tabbakh reza Ghaemi
  10.7508/jist.2019.04.007
  Due to the increased use of cloud computing services, cloud data centers are in search of solutions in order to better provide the services demanded by their users. Virtual machine consolidation is an appropriate solution to the trade-off between power consumption and s More

  Due to the increased use of cloud computing services, cloud data centers are in search of solutions in order to better provide the services demanded by their users. Virtual machine consolidation is an appropriate solution to the trade-off between power consumption and service level agreement violation. The present study aimed to identify low, medium, and high load identification techniques, as well as the energy consumption and SLAv to minimize. In addition to the reduced costs of cloud providers, these techniques enhance the quality of the services demanded by the users. To this end, reallocation of resources to physical hosts was performed at the medium load level using a centralized method to classify the physical hosts. In addition, quartile was applied in each medium to reduce the energy consumption parameters and violation level. The three introduced SMT - NMT and FMT methods for reallocation of resources were tested and the best results were compared with previous methods.The proposed method was evaluated using the Cloudsim software with real Planet Lab data and five times run, the simulation results confirmed the efficiency of the proposed algorithm, which tradeoff between decreased the energy consumption and service level of agreement violation (SLAv) properly. Manuscript profile
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  5 - Energy Efficient Cross Layer MAC Protocol for Wireless Sensor Networks in Remote Area Monitoring Applications
  R Rathna L Mary Gladence J Sybi Cynthia V Maria Anu
  10.52547/jist.9.35.207
  Sensor nodes are typically less mobile, much limited in capabilities, and more densely deployed than the traditional wired networks as well as mobile ad-hoc networks. General Wireless Sensor Networks (WSNs) are designed with electro-mechanical sensors through wireless d More

  Sensor nodes are typically less mobile, much limited in capabilities, and more densely deployed than the traditional wired networks as well as mobile ad-hoc networks. General Wireless Sensor Networks (WSNs) are designed with electro-mechanical sensors through wireless data communication. Nowadays the WSN has become ubiquitous. WSN is used in combination with Internet of Things and in many Big Data applications, it is used in the lower layer for data collection. It is deployed in combination with several high end networks. All the higher layer networks and application layer services depend on the low level WSN in the deployment site. So to achieve energy efficiency in the overall network some simplification strategies have to be carried out not only in the Medium Access Control (MAC) layer but also in the network and transport layers. An energy efficient algorithm for scheduling and clustering is proposed and described in detail. The proposed methodology clusters the nodes using a traditional yet simplified approach of hierarchically sorting the sensor nodes. Few important works on cross layer protocols for WSNs are reviewed and an attempt to modify their pattern has also been presented in this paper with results. Comparison with few prominent protocols in this domain has also been made. As a result of the comparison one would get a basic idea of using which type of scheduling algorithm for which type of monitoring applications. Manuscript profile
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  6 - Dynamic Tree- Based Routing: Applied in Wireless Sensor Network and IOT
  Mehdi Khazaei
  10.52547/jist.22504.10.39.191
  The Internet of Things (IOT) has advanced in parallel with the wireless sensor network (WSN) and the WSN is an IOT empowerment. The IOT, through the internet provides the connection between the defined objects in apprehending and supervising the environment. In some app More

  The Internet of Things (IOT) has advanced in parallel with the wireless sensor network (WSN) and the WSN is an IOT empowerment. The IOT, through the internet provides the connection between the defined objects in apprehending and supervising the environment. In some applications, the IOT is converted into WSN with the same descriptions and limitations. Working with WSN is limited to energy, memory and computational ability of the sensor nodes. This makes the energy consumption to be wise if protection of network reliability is sought. The newly developed and effective hierarchical and clustering techniques are to overcome these limitations. The method proposed in this article, regarding energy consumption reduction is tree-based hierarchical technique, used clustering based on dynamic structure. In this method, the location-based and time-based properties of the sensor nodes are applied leading to provision of a greedy method as to form the subtree leaves. The rest of the tree structure up to the root, would be formed by applying the centrality concept in the network theory by the base station. The simulation reveals that the scalability and fairness parameter in energy consumption compare to the similar method has improved, thus, prolonged network lifetime and reliability. Manuscript profile
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  7 - 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
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  8 - Priority-Based Task Scheduling Using Fuzzy System in Mobile Edge Computing
  Entesar Hosseini Mohsen Nickray SH. GH.
  Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are i More

  Mobile edge computing (MEC) are new issues to improve latency, capacity and available resources in Mobile cloud computing (MCC). Mobile resources, including battery and CPU, have limited capacity. So enabling computation-intensive and latency-critical applications are important issue in MEC. In this paper, we use a standard three-level system model of mobile devices, edge and cloud, and propose two offloading and scheduling algorithms. A decision-making algorithm for offloading tasks is based on the greedy Knapsack offloading algorithm (GKOA) on the mobile device side, which selects tasks with high power consumption for offloading and it saves energy consumption of the device. On the MEC side, we also present a dynamic scheduling algorithm with fuzzy-based priority task scheduling (FPTS) for prioritizing and scheduling tasks based on two criteria. Numerical results show that our proposed work compared to other methods and reduces the waiting time, latency and system overhead. Also, provides the balance of the system with the least number of resources. And the proposed system reduces battery consumption in the smart device by up to 90%. The results show that more than 92% of tasks are executed successfully in the edge environment. Manuscript profile
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  9 - 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
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  10 - Joint Cooperative Spectrum Sensing and Resource Allocation in Dynamic Wireless Energy Harvesting Enabled Cognitive Sensor Networks
  maryam Najimi
  10.61186/jist.33968.11.44.320
  Due to the limitations of the natural frequency spectrum, dynamic frequency allocation is required for wireless networks. Spectrum sensing of a radio channel is a technique to identify the spectrum holes. In this paper, we investigate a dynamic cognitive sensor networ More

  Due to the limitations of the natural frequency spectrum, dynamic frequency allocation is required for wireless networks. Spectrum sensing of a radio channel is a technique to identify the spectrum holes. In this paper, we investigate a dynamic cognitive sensor network, in which the cognitive sensor transmitter has the capability of the energy harvesting. In the first slot, the cognitive sensor transmitter participates in spectrum sensing and in the existence of the primary user, it harvests the energy from the primary signal, otherwise the sensor transmitter sends its signal to the corresponding receiver while in the second slot, using the decode-and-forward (DF) protocol, a part of the bandwidth is used to forward the signal of the primary user and the remained bandwidth is used for transmission of the cognitive sensor. Therefore, our purposed algorithm is to maximize the cognitive network transmission rate by selection of the suitable cognitive sensor transmitters subject to the rate of the primary transmission and energy consumption of the cognitive sensors according to the mobility model of the cognitive sensors in the dynamic network. Simulation results illustrate the effectiveness of the proposed algorithm in performance improvement of the network as well as reducing the energy consumption. Manuscript profile
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  11 - 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
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  12 - 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
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  13 - 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
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  14 - 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
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  15 - 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