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Journal articles on the topic 'Energy network'

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1

Tian, Jinhua, Yueyuan Zhang, Yanan Gao, et al. "Distributed optimization and scheduling strategy for source load storage distribution grid based on alliance chain." AIMS Energy 12, no. 5 (2024): 946–67. http://dx.doi.org/10.3934/energy.2024044.

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<p>With the high penetration of renewable energy, the addition of a large number of energy storage units, and flexible loads, the source-load-storage structure of active distribution networks is becoming increasingly complex, making optimization and scheduling more challenging. In response to issues as difficult global information acquisition, less consideration of flexible load and energy storage unit access, individual deception, and insufficient security in the optimization scheduling process of active distribution networks, this paper constructed a distribution network optimization s
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Hategekimana, Pascal, Adrià Junyent-Ferré, Etienne Ntagwirumugara, and Joan Marc Rodriguez Bernuz. "Improved methods for controlling interconnected DC microgrids in rural villages." AIMS Energy 12, no. 1 (2024): 214–34. http://dx.doi.org/10.3934/energy.2024010.

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<abstract> <p>Interconnected Microgrid (IMG) networks have been suggested as the best to build electrical networks in remote villages far from the main electricity grid by interconnecting the nearby distributed energy resources (DERs) through power electronic converters. Interconnecting different DERs results in voltage deviation with unequal power-sharing, while voltage performance is a significant challenge. The control strategies for these converters are essential in the operational stability of any IMG network under study. In this paper, we propose an improved droop control met
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Chib, Manvi, and Tamanna Pathania. "The Review of Energy Efficient Network." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 1006–8. http://dx.doi.org/10.31142/ijtsrd24036.

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Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman, and Aymen Jaber Salman. "Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 2 (2021): 910–20. https://doi.org/10.11591/ijeecs.v24.i2.pp910-920.

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Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the
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Abasaheb, Jundale Poonam, and Patil Yogita Dattatraya. "Energy Efficient Compression for Wireless Sensor Network." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 1820–24. http://dx.doi.org/10.31142/ijtsrd18171.

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Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman, and Aymen Jaber Salman. "Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 2 (2021): 910. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp910-920.

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Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the ene
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Teh, Jiashen, Ching-Ming Lai, and Yu-Huei Cheng. "Composite reliability evaluation for transmission network planning." AIMS Energy 6, no. 1 (2018): 170–86. http://dx.doi.org/10.3934/energy.2018.1.170.

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Conti, Stefania, Santi A. Rizzo, Nunzio Salerno, and Giuseppe M. Tina. "Distribution network topology identification based on synchrophasor." AIMS Energy 6, no. 2 (2018): 245–60. http://dx.doi.org/10.3934/energy.2018.2.245.

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Ibrahim, Marwa M., Amr A. Elfeky, and Amal El Berry. "Forecasting energy production of a PV system connected by using NARX neural network model." AIMS Energy 12, no. 5 (2024): 968–83. http://dx.doi.org/10.3934/energy.2024045.

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<p>Applying artificial neural network techniques to forecast the electricity production of photovoltaic (PV) power plants is a novel concept. A reliable analytical model for calculating the energy output of a grid-connected solar plant is very difficult to establish because of hourly, daily, and seasonal variations in climate. The current study estimated and predicted the energy production of a connected PV system that was installed in Cairo, Egypt (30.13° N and 31.40 ° E) using an artificial neural network. Four seasons' worth of data (summer, autumn, winter, and spring) were methodical
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Hu, Zijian, Hong Zhu, and Chen Deng. "Distribution network reconfiguration optimization method based on undirected-graph isolation group detection and the whale optimization algorithm." AIMS Energy 12, no. 2 (2024): 484–504. http://dx.doi.org/10.3934/energy.2024023.

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<abstract> <p>As distributed generation (DG) becomes increasingly integrated into the distribution grid, the structure of the distribution network is becoming more complex. To enhance the safety and cost-effectiveness of distribution systems, distribution network reconfiguration is gaining significant importance. Achieving optimal distribution network reconfiguration entails two key considerations: A feasible topology and economic efficiency. This paper addresses these challenges by introducing a novel approach that combines the potential island detection in undirected-graphs and t
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Vasudev, Arpitha, A. M. Sowmya, and G. Manjula. "Applying Intermittent Energy Distribution for Evading Energy Holes in Wireless Sensor Network." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (2016): 217–19. http://dx.doi.org/10.9756/bijsesc.8281.

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Abdullah ALHinai, Humaid, Azrul Mohd Ariffin, and Miszina Osman. "Revolutionizing Oman's energy network with an optimal mixture renewable energy source." AIMS Energy 11, no. 4 (2023): 628–62. http://dx.doi.org/10.3934/energy.2023032.

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<abstract> <p>The electricity demand has increased to 240% during the last decade in the Sultanate of Oman due to population growth and industrial expansion. Solar energy can act as an alternate source of energy production to meet the surge in demand for electric power. Also, the government has planned to derive 30% of the electricity from renewables by 2030. Moreover, agreements have been made to reduce greenhouse gas (GHG) emissions by decreasing 7% by 2030. The main objective of this paper is to design a grid-connected PV solar system based on the real-time data collected from t
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Gelenbe, Erol, and Omer H. Abdelrahman. "An Energy Packet Network model for mobile networks with energy harvesting." Nonlinear Theory and Its Applications, IEICE 9, no. 3 (2018): 322–36. http://dx.doi.org/10.1587/nolta.9.322.

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Gelenbe, Erol, and Omer H. Abdelrahman. "An Energy Packet Network model for mobile networks with energy harvesting." Nonlinear Theory and Its Applications, IEICE 9, no. 3 (2022): 1–15. https://doi.org/10.1587/nolta.9.1.

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Mobile communications are a powerful contributor to social and economic develop- ment worldwide, including in less developed or remote parts of the world. However they are large users of electricity through their base stations, backhaul networks and Cloud servers, so that they have a large environmental impact when they use the electric grid. On the other hand, they could operate with renewable energy sources and thus reduce their CO2 impact and be accessible even in areas where the electric grid is unavailable or unreliable. The counterpart is that intermittent sources of energy, such as phot
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Lam, Albert Y. S., Ka-Cheong Leung, and Victor O. K. Li. "Vehicular Energy Network." IEEE Transactions on Transportation Electrification 3, no. 2 (2017): 392–404. http://dx.doi.org/10.1109/tte.2017.2649887.

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YATSENKO, Dmytro, Vladimir POPOV, Anatolii ZAMULKO, Olena YARMOLIUK, and Oleksandr ADANIKOV. "APPLICATION OF INDICATIVE QUALITY INDICATOR IN DYNAMIC MANAGEMENT OF THE TOPOLOGY OF A DISTRIBUTION NETWORK WITH LOCAL ENERGY SOURCES WITH THE PURPOSE OF MINIMIZING ENERGY LOSSES." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6(1) (2022): 274–81. http://dx.doi.org/10.31891/2307-5732-2022-315-6-274-281.

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In practically all countries, a significant part of distribution electric networks is operated in an open mode. Therefore, the task of choosing the optimal topology of the electrical network remains relevant and popular among researchers. To date, many ways of solving this problem have been proposed, which have been reflected in hundreds of publications. To achieve the goal of forming the optimal topology of the electric network, various optimization methods are used, the problem is also solved in both single-criteria and multi-criteria formulations. In this article, a bibliographic analysis i
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YATSENKO, Dmytro, Vladimir POPOV, Anatolii ZAMULKO, Olena YARMOLIUK, and Oleksandr ADANIKOV. "APPLICATION OF INDICATIVE QUALITY INDICATOR IN DYNAMIC MANAGEMENT OF THE TOPOLOGY OF A DISTRIBUTION NETWORK WITH LOCAL ENERGY SOURCES WITH THE PURPOSE OF MINIMIZING ENERGY LOSSES." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6 (2022): 109–17. http://dx.doi.org/10.31891/2307-5732-2022-315-6(2)-109-117.

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In practically all countries, a significant part of distribution electric networks is operated in an open mode. Therefore, the task of choosing the optimal topology of the electrical network remains relevant and popular among researchers. To date, many ways of solving this problem have been proposed, which have been reflected in hundreds of publications. To achieve the goal of forming the optimal topology of the electric network, various optimization methods are used, the problem is also solved in both single-criteria and multi-criteria formulations. In this article, a bibliographic analysis i
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18

Elgibaly, Ahmed A., Mohamed Ghareeb, Said Kamel, and Mohamed El-Sayed El-Bassiouny. "Prediction of gas-lift performance using neural network analysis." AIMS Energy 9, no. 2 (2021): 355–78. http://dx.doi.org/10.3934/energy.2021019.

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19

Manasa, P., K. Shaila, and K. R. Venugopal. "TCHCN: Trust Computation for Hierarchical Clustering Network to Improve Network Lifetime in Wireless Sensor Network." Journal of Computational and Theoretical Nanoscience 17, no. 12 (2020): 5509–15. http://dx.doi.org/10.1166/jctn.2020.9446.

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Network Lifetime of sensor node plays a fundamental role in Wireless Sensor Networks, since they drain out energy during the communication. The hierarchical networks assist in hindering energy loss by exchanging the information at various levels. The Hierarchical levels formed avoid overburdening of single level cluster zones and helps the network to retain energy of cluster level heads. Malicious attack disturbs the regular functionality of a routing algorithm and deviates QoS performance in the network. The existing LEACH-Mobile protocol adopts low energy clustering techniques but, falls sho
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Xiao, Wen Hong, and Xiang Dong Cai. "A Novel Wireless Sensor Network Model Based on Complex Network Theory." Advanced Materials Research 546-547 (July 2012): 1276–82. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1276.

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The key issue of wireless sensor networks is to balance the energy costs of the entire network, to enhance the robustness of the entire sensor network. Sensor networks as a special kind of complex network, in particular, environmental constraints, and more from the traditional complex networks, such as Internet networks, ecological networks, social networks, is to introduce a way of wireless sensor networks way of complex networks theory and analytical method, the key lies in, which is a successful model of complex network theory and analysis methods, more suitable for the application of wirel
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Baban, Nabil. "Refine Energy Efficiency in LTE Networks: A Proposal for Reducing Energy Consumption through NFV and SDN Optimization." Journal of Engineering Research and Reviews 2, no. 1 (2025): 22. https://doi.org/10.5455/jerr.20241120121616.

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With the rapid proliferation of mobile data traffic and the expansion of Long-Term Evolution (LTE) networks, energy consumption has become a significant concern for telecom operators and service providers. Current LTE infrastructure, designed for optimal performance, often disregards the energy efficiency of network operations, leading to increased operational costs and environmental impact. This paper deals with the issue of energy wastage that is abundant in LTE networks through the alliance of Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies. NFV and
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Nonde, Leonard, Taisir E. H. El-Gorashi, and Jaafar M. H. Elmirghani. "Energy Efficient Virtual Network Embedding for Cloud Networks." Journal of Lightwave Technology 33, no. 9 (2015): 1828–49. http://dx.doi.org/10.1109/jlt.2014.2380777.

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Liu, Xu, Zhongbao Zhang, Junning Li, and Sen Su. "Clustering-based energy-aware virtual network embedding." International Journal of Distributed Sensor Networks 13, no. 8 (2017): 155014771772671. http://dx.doi.org/10.1177/1550147717726714.

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Virtual network embedding has received a lot of attention from researchers. In this problem, it needs to map a sequence of virtual networks onto the physical network. Generally, the virtual networks have topology, node, and link constraints. Prior studies mainly focus on designing a solution to maximize the revenue by accepting more virtual networks while ignoring the energy cost for the physical network. In this article, to bridge this gap, we design a heuristic energy-aware virtual network embedding algorithm called EA-VNE-C, to coordinate the dynamic electricity price and energy consumption
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Fan, Zuzhi, and Xiaoli Liu. "Energy Synchronized Transmission Control for Energy-harvesting Sensor Networks." International Journal of Computers Communications & Control 11, no. 2 (2016): 194. http://dx.doi.org/10.15837/ijccc.2016.2.2049.

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Energy harvesting and recharging techniques have been regarded as a promising solution to ensure sustained operations of wireless sensor networks for longterm applications. To deal with the diversity of energy harvesting and constrained energy storage capability, sensor nodes in such applications usually work in a duty-cycled mode. Consequently, the sleep latency brought by duty-cycled operation is becoming the main challenge. In this work, we study the energy synchronization control problem for such sustainable sensor networks. Intuitively, energy-rich nodes can increase their transmission po
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Muhammad Ridzuan, Mohd, and Sasa Djokic. "Energy Regulator Supply Restoration Time." Energies 12, no. 6 (2019): 1051. http://dx.doi.org/10.3390/en12061051.

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In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers from long excessive duration of interruptions, the use of MTTR input seems reasonable. Since modern distribution networks are shifting towards smart grid, some factors must be considered in the reliability assessment process. For networks that apply reconfiguration functionalities and/or network au
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van der Linden, Ruud, Ryvo Octaviano, Huib Blokland, and Tom Busking. "Security of Supply in Gas and Hybrid Energy Networks." Energies 14, no. 4 (2021): 792. http://dx.doi.org/10.3390/en14040792.

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Reliable energy supply becomes increasingly complex in hybrid energy networks, due to increasing amounts of renewable electricity and more dynamic demand. Accurate modeling of integrated electricity and gas distribution networks is required to quantify operational bottlenecks in these networks and to increase security of supply. In this paper, we propose a hybrid network solver to model integrated electricity and gas distribution networks. A stochastic method is proposed to calculate the security of supply throughout the networks, taking into account the likelihood of events, operational const
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Avinash Jethi, Preeti Sharma and Rakesh Kuma. "Analysis of Energy Efficient Techniques of WSN." International Journal for Modern Trends in Science and Technology 7, no. 07 (2022): 58–62. http://dx.doi.org/10.46501/ijmtst050239.

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The wireless sensor networks is the decentralized type of network in which sensor devices sense information and pass it to base station. Due to dynamic topology of the network security, data aggregation and energy consumption are the major issue which affects network performance. In the past years many techniques are designed to improve lifetime of lifetime of sensor networks. In this review paper, energy efficient techniques of wireless sensor networks are reviewed in terms of certain parameters
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XUE, Yusheng. "Energy internet or comprehensive energy network?" Journal of Modern Power Systems and Clean Energy 3, no. 3 (2015): 297–301. http://dx.doi.org/10.1007/s40565-015-0111-5.

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Lorincz, Josip, Amar Kukuruzović, and Zoran Blažević. "A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks." Sensors 24, no. 10 (2024): 3242. http://dx.doi.org/10.3390/s24103242.

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The introduction of fifth-generation (5G) mobile networks leads to an increase in energy consumption and higher operational costs for mobile network operators (MNOs). Consequently, the optimization of 5G networks’ energy efficiency is crucial, both in terms of reducing MNO costs and in terms of the negative environmental impact. However, many aspects of the 5G mobile network technology itself have been standardized, including the 5G network slicing concept. This enables the creation of multiple independent logical 5G networks within the same physical infrastructure. Since the only necessary re
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Abad, Mohammad Seydali Seyf, Jennifer A. Hayward, Saad Sayeef, Peter Osman, and Jin Ma. "Tidal Energy Hosting Capacity in Australia’s Future Energy Mix." Energies 14, no. 5 (2021): 1479. http://dx.doi.org/10.3390/en14051479.

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This paper outlines a methodology to determine the amount of renewable energy that can be accommodated in a power system before adverse impacts such as over-voltage, over-loading and system instability occur. This value is commonly known as hosting capacity. This paper identifies when the transmission network local hosting capacity might be limited because of static and dynamic network limits. Thus, the proposed methodology can effectively be used in assessing new interconnection requests and provides an estimation of how much and where the new renewable generation can be located such that net
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Liu, Wen Lai. "Design of Energy-Saving Control Software Algorithms in Large Industrial Network." Applied Mechanics and Materials 644-650 (September 2014): 828–31. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.828.

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In the operation process of large industrial control network, with conventional fuzzy PID control algorithm for industrial control networks energy-saving control, excessive industrial networks will aggravate machine wear of the single network, thereby reduce the effect of energy-saving for industrial network. This paper presents an approach for industrial network energy-saving control based on non-uniform data production rate. According to the relationship between the network load and loss, the loss model of industrial control network can be established. Adaptive linear genetic method is utili
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Sattar, Mahroo, Mahmoud Samiei Moghaddam, Azita Azarfar, Nasrin Salehi, and Mojtaba Vahedi. "Co-optimization of integrated energy systems in the presence of renewable energy, electric vehicles, power-to-gas systems and energy storage systems with demand-side management." Clean Energy 7, no. 2 (2023): 426–35. http://dx.doi.org/10.1093/ce/zkad011.

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Abstract With the widespread penetration of renewable energy sources and energy storage systems, the problem of energy management has received increasing attention. One of the systems that network owners consider today is the power-to-gas (P2G) system. This system causes surplus electricity generated from renewable energy resources or batteries in the network to be converted into gas and sold to the gas network. Two reasons for the existence of gas distributed generation resources and P2G systems cause the two power and gas networks to interact. Energy management and profit making considering
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Virmani, Dr Deepali. "Maximizing Network Lifetime Operator for Wireless Sensor Networks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (2013): 267–72. http://dx.doi.org/10.24297/ijct.v4i2a2.3172.

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Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network lifetime, available energy and connectivity. In this paper we categorize sensor nodes as strong and weak nodes based on their residual energy as well as operational lifetime and propose a Maximizing Network lifetime Operator (MLTO) that defines cluster
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Zhao, Zhidong, Kaida Xu, Guohua Hui, and Liqin Hu. "An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy Consumption Optimization." Sensors 18, no. 11 (2018): 3938. http://dx.doi.org/10.3390/s18113938.

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To further prolong the lifetime of wireless sensor network (WSN), researchers from various countries have proposed many clustering routing protocols. However, the total network energy consumption of most protocols is not well minimized and balanced. To alleviate this problem, this paper proposes an energy-efficient clustering routing protocol in WSNs. To begin with, this paper introduces a new network structure model and combines the original energy consumption model to construct a new method to determine the optimal number of clusters for the total energy consumption minimization. Based on th
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Dou, Zhenlan, Chunyan Zhang, Renjie Dai, et al. "Resilience enhancement strategy of multi-energy coupling distribution network considering movable energy storage equipment." Journal of Physics: Conference Series 2418, no. 1 (2023): 012070. http://dx.doi.org/10.1088/1742-6596/2418/1/012070.

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Abstract With the deepening of energy transformation, multi-energy coupling has become an effective method to alleviate the energy gap and improve the energy utilization rate. As a bridge connecting users and the power system, the distribution network is becoming multi-energy coupling as well. Therefore, to ensure a stable supply of power, heat, and other energy sources, it is of great significance to study the resilience improvement of multi-energy coupling distribution networks. This paper proposes a strategy for improving the resilience of multi-energy coupling distribution networks conside
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Wu, Simin, Zhenlan Dou, Yang Du, et al. "Research on energy interactive operation optimization strategy of multi-energy network with integrated energy based on cooperative game." Journal of Physics: Conference Series 2876, no. 1 (2024): 012057. http://dx.doi.org/10.1088/1742-6596/2876/1/012057.

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Abstract Integrated energy includes multi-energy networks such as electricity, gas, cold, and heat. Horizontal multi-energy coordination and vertical source network storage load interaction can effectively support large-scale new energy consumption. In this paper, a multi-energy flow model of the integrated energy multi-energy network is constructed, an optimization model of energy sharing and mutual benefit of the multi-energy network is established based on Nash negotiation, and then the model is solved to obtain the optimal distribution scheme of cooperation benefits. Finally, a numerical e
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Shih, Mau-Hsiang, and Feng-Sheng Tsai. "Neural Network Dynamics without Minimizing Energy." Abstract and Applied Analysis 2013 (2013): 1–4. http://dx.doi.org/10.1155/2013/496217.

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Content-addressable memory (CAM) has been described by collective dynamics of neural networks and computing with attractors (equilibrium states). Studies of such neural network systems are typically based on the aspect of energy minimization. However, when the complexity and the dimension of neural network systems go up, the use of energy functions might have its own limitations to study CAM. Recently, we have proposed the decirculation process in neural network dynamics, suggesting a step toward the reshaping of network structure and the control of neural dynamics without minimizing energy. A
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Hwang, Kwang-Il. "Survey on Network Protocols for Energy Network Infrastructure based on Smart Utility Networks." KIPS Transactions on Computer and Communication Systems 1, no. 3 (2012): 119–24. http://dx.doi.org/10.3745/ktccs.2012.1.3.119.

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Poullikkas, Andreas, Savvas Papadouris, George Kourtis, and Ioannis Hadjipaschalis. "Storage Solutions for Power Quality Problems in Cyprus Electricity Distribution Network." AIMS Energy 2, no. 1 (2014): 1–17. http://dx.doi.org/10.3934/energy.2014.1.1.

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Nesterenko, Sergiy, and Julia Nesterenko. "Costs evaluation methodic of energy efficient computer network reengineering." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (August 20, 2016): 41–45. http://dx.doi.org/10.15276/opu.2.49.2016.10.a.

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Rizvi, S. S. H., M. Z. Ahmad, J. Ahmed, and A. Karim. "Active Node Based Sensor Wireless Network for Energy Management." International Journal of Engineering and Technology 4, no. 5 (2012): 590–93. http://dx.doi.org/10.7763/ijet.2012.v4.439.

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Wan, Zhiping, Zhiming Xu, Jiajun Zou, Shaojiang Liu, Weichuan Ni, and Shitong Ye. "An IPv6 Passive-Aware Network Routing Algorithm Based on Utility Value Combined with Deep Neural Network." Journal of Sensors 2021 (November 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/7193788.

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Passive sensing networks can maintain the operation of the network by capturing energy from the environment, thereby solving the energy limitation problem of network nodes. Therefore, passive sensing networks are widely used in data collection in complex environments. However, the complexity of the network deployment environment makes passive sensing nodes unable to obtain stable energy from the surroundings. Therefore, better routing strategies are needed to save network energy consumption. In response to this problem, this paper proposes an IPv6 passive-aware network routing algorithm for th
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Karimi, Ahmad. "Multicast Energy Aware Routing ‎in Wireless Networks." Computer Engineering and Applications Journal 5, no. 3 (2016): 127–33. http://dx.doi.org/10.18495/comengapp.v5i3.184.

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Multicasting is a service for disseminating data to a group of hostsand it is of paramount importance in applications with a close collabo-ration of network hosts. Due to limited energy available in the wirelessdevices, energy management is one of the most important problems inwireless networks. Energy aware routing strategies help us to mini-mize the energy costs for communication as much as possible and toincrease the network lifetime. In this paper, we address the problemof energy efficient routing to increase the lifetime of the network. Wepresent three new strategies for online multicast
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Shutters, Shade T., Keith Waters, and Rachata Muneepeerakul. "Triad Analysis of Global Energy Trade Networks and Implications for Energy Trade Stability." Energies 15, no. 10 (2022): 3673. http://dx.doi.org/10.3390/en15103673.

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An international push to decarbonize economies has initiated a major transition in the global energy system and has begun to disrupt the intricate network of energy trade. As trade patterns begin to reconfigure, it is important that policy makers understand how vulnerabilities of the existing network may present obstacles to a smooth energy transition. We analyze the topology of the global energy trade network in aggregate, for various energy commodities, and for individual countries. Using the network science technique of triad analysis, which examines the prevalence of 3-node subnetworks in
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Jeyasekar, A., Siddharth Nanda, and Annie Uthra. "Green SDN: Trends of Energy Conservation in Software Defined Network." International Journal of Engineering & Technology 7, no. 3.12 (2018): 9. http://dx.doi.org/10.14419/ijet.v7i3.12.15853.

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Because of the exponential growth of the data in the Internet, storing and computing the data become a challenging issue. Therefore the data center networks are used to provide the infrastructure for storing and computing the data. Most of the network devices present in the data center network is comparatively idle for most of the time and resulting in a waste of energy. To overcome it, the Software Defined Network is proposed which allows the administrators to manage the network devices using a centralized controller and enables programmable network devices. It optimizes the utilization of ne
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46

Rao, Jun, and Jiu Hua Zhang. "On Clustering Algorithm Studies for Ad Hoc Wireless Sensor Network." Applied Mechanics and Materials 556-562 (May 2014): 3427–30. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3427.

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Network load is balanced and energy is in stable and sustainable is the important guarantee for the stability of the network. Traditional clustering algorithm for ad hoc network can effectively achieve a single point of network stability, and there is no efficient algorithm for long-term stability. Improvements have been made in this context traditional network clustering algorithm, based on efficient cluster head node using residual energy and communications networking sensor networks nodes remaining weaknesses in the energy networks and strengthening, improving the overall balance and effect
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47

Zeng, Tao. "Routing Protocol Security Strategies of Non-Uniform Energy Distribution Wireless Network." Applied Mechanics and Materials 536-537 (April 2014): 715–18. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.715.

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Unlike other networks based on wireless sensor networks, such as the characteristics of Ad hoc network design algorithm to reduce the energy consumption of wireless sensor networks. The main study of wireless sensor networks in a variety of energy-saving protocols and algorithms, analyze the impact of these agreements on energy saving in different environments, MAC protocol for wireless sensor network design energy efficient use of its improvement, based on the maximum advantage disjoint approximate area set covering algorithm. Energy efficient or superior energy savings in the paper can prolo
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48

Manvi, Chib, and Pathania Tamanna. "The Review of Energy Efficient Network." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 1006–8. https://doi.org/10.31142/ijtsrd24036.

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Energy consumption is a primary concern in design and operation of wireless communication networks based on environmental concern and cost. The coming 5G network proposes better data rates but also speaks about energy efficiency in its agenda. In order to achieve high energy efficient. Manvi Chib | Tamanna Pathania "The Review of Energy Efficient Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd24036.pdf
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49

Onuekwusi, Nnaemeka Chiemezie, Michael Chukwudi Ndinechi, Gordon Chiagozie Ononiwu, and Onyebuchi Chikezie Nosiri. "An Energy Balanced Routing Hole and Network Partitioning Mitigation Model for Homogeneous Hierarchical Wireless Sensor Networks." International Journal of Interdisciplinary Telecommunications and Networking 12, no. 1 (2020): 28–42. http://dx.doi.org/10.4018/ijitn.2020010103.

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This article addresses the challenges of routing hole and network partitioning often experienced in hierarchical wireless sensor networks (WSNs). This developed model classifies network nodes into sets for effective energy management and formulates two cluster networks namely: switching and non-switching networks. Both networks are considered homogeneous and static WSNs and adopted approaches of residual energy, multi-hop and minimal distance as routing decision parameters. The switching network in addition introduces an energy switching factor as a major decision parameter for the switching o
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Mousavinasab, Zohreh, and Zahra Saadati. "The holes problem in wireless sensor netwoks by using the available energy fairly." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 5 (2016): 6732–37. http://dx.doi.org/10.24297/ijct.v15i5.1641.

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We consider the holes problem in wireless sensor netwoks by using the available energy fairly. The holes problem occurs when the available energy of some sensors are exhausted while others have significant energy. In this circumstance, ehile the total available energy of the network is high, the network is no longer working. Such a problem mainly happen due to unbalanced energy consumpsion in clustering and communication protocols. In this paper, we deal with this problem and propose an data aggregation algorithm based on the well-known clustering algorithm LEACH and tree construction mechan
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