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    • List of Articles Energy

      • Open Access Article

        1 - 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
      • 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 - Investigating the Information and Communication Technology Deployment Impact on Energy Expenditures of Iranian households (A Provincial Approach)
        Elham Hosseinzadeh َAmir Hossein Mozayani
        Nowadays, investing in information and communication technology (ICT) is inevitable, because it affects various aspects of human life, including the economy. Due to the rapid growth of population, increasing energy demand, and limited energy resources, one of the bas More
        Nowadays, investing in information and communication technology (ICT) is inevitable, because it affects various aspects of human life, including the economy. Due to the rapid growth of population, increasing energy demand, and limited energy resources, one of the basic measures to achieve sustainable development in countries, is optimization and reform of energy consumption structures. Given that the home sector is one of the main sectors of energy consumption, one of the effective approaches in reducing and managing household energy expenditures is to use ICT capabilities. In this regard, in this study, the effect of ICT expansion on energy consumption of urban households in Iran using the Panel Data method and GLS model during the period 2008-2015 and in the form of provincial data has been analyzed. The results indicate that in some models, a significant reducing effect of ICT on energy expenditure was observed. However, in most of the estimated models, there is no significant reducing effect of ICT on household energy expenditure. It seems that the main reasons for this are the subsidy structure governing energy prices, the low share of energy in total household consumption expenditures, the lack of proper consumption culture. Manuscript profile
      • Open Access Article

        4 - Outage and Throughput Analysis of Bidirectional Cognitive Amplify-and-Forward Relaying Networks with Wireless Power Transfer
        Ehsan Soleimani Nasab
        Cognitive radio is a promising technology which aims to achieve better frequency spectrum utilization. On the other hand, wireless energy harvesting can provide extra energy requirement at the nodes. Two scenarios in a two-way network are assumed where in the first scen More
        Cognitive radio is a promising technology which aims to achieve better frequency spectrum utilization. On the other hand, wireless energy harvesting can provide extra energy requirement at the nodes. Two scenarios in a two-way network are assumed where in the first scenario, relay harvests its required energy from end-sources of secondary network in presence of cognitive radio network and in the second scenario, both end-sources harvest energy from relay in secondary network. Both the Nakagami-m fading caused by signal propagation and the interference at relay caused by primary users in a cognitive radio network are considered. Closed-form expressions for outage probability and throughput of bidirectional cognitive radio amplify-and-forward relaying network using energy harvesting and wireless power transfer techniques over independent and non-identically distributed (i.n.i.d.) Nakagami-m fading channels are proposed. The analytical derivations are validated employing Monte Carlo simulations, where it is demonstrated that the first scenario always outperforms the second one, while both scenarios perform better than no energy harvesting case. Manuscript profile
      • Open Access Article

        5 - WSTMOS: A Method For Optimizing Throughput, Energy, And Latency In Cloud Workflow Scheduling
        Arash Ghorbannia Delavar Reza Akraminejad sahar mozafari
        Application of cloud computing in different datacenters around the world has led to generation of more co2 gas. In addition, energy and throughput are the two most important issues in this field. This paper has presented an energy and throughput-aware algorithm for sche More
        Application of cloud computing in different datacenters around the world has led to generation of more co2 gas. In addition, energy and throughput are the two most important issues in this field. This paper has presented an energy and throughput-aware algorithm for scheduling of compressed-instance workflows in things-internet by cluster processing in cloud. A method is presented for scheduling cloud workflows with aim of optimizing energy, throughput, and latency. In the proposed method, time and energy consumption has been improved in comparison to previous methods by creating distance parameters, clustering inputs, and considering real execution time. In WSTMOS method by considering special parameters and real execution time, we managed to reach the optimized objective function. Moreover, in the proposed method parameter of time distance of tasks to virtual machines for reduction of number of migration in virtual machines was applied. In WSTMOS method by organizing the workflow inputs to low, medium and heavy groups and also by distributing appropriate load on more suitable servers for processors threshold, we accomplished to optimize energy and cost. Energy consumption was reduced by 4.8 percent while the cost was cut down by 4.4 percent using this method in comparison to studied method. Finally, average delay time, power and workload are optimized in comparison to previous methods. Manuscript profile
      • Open Access Article

        6 - Energy procurement of a cellular base station in independent microgrids with electric vehicles and renewable energy sources: Mixed-integer nonlinear programming model
        Reza Bahri saeed zeynali
        The cellular base stations are communication devices that ensure the connection in the world. Nevertheless, they are usually installed in remote places. This paper, studied the energy procurement of a cellular base stations in an independent microgrid with a hydrogen-ba More
        The cellular base stations are communication devices that ensure the connection in the world. Nevertheless, they are usually installed in remote places. This paper, studied the energy procurement of a cellular base stations in an independent microgrid with a hydrogen-based energy storage system, photovoltaic (PV) system, electric vehicles and a diesel generator. A new mixed-integer nonlinear programming model was used to deal with nonlinearities of the system components. The paper studied different uncertainties, such as the connection rate in cellular base stations, the driver of the electric vehicle, and PV generation, using stochastic programming method. The potency of the proposed method was studied in different case studies. The results prove that smart electric vehicle chargers reduce the risks and also cost/emission objective functions. The usage of this model can reduce the emissions as much as 18.60%. Manuscript profile