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Artykuły w czasopismach na temat „EH Networks”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

Luo, Yi, Chenyang Wu, Yi Leng, Nüshan Huang, Lingxi Mao, and Junhao Tang. "Throughput Optimization for NOMA Cognitive Relay Network with RF Energy Harvesting Based on Improved Bat Algorithm." Mathematics 10, no. 22 (2022): 4357. http://dx.doi.org/10.3390/math10224357.

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Due to the shortcomings of the standard bat algorithm (BA) for multi-parameter optimization, an improved bat algorithm is proposed. The benchmark function test shows that the proposed algorithm has better realization of high-dimensional function optimization by introducing multiple flight modes, adopting adaptive strategy based on group trend, and employing loudness mutation flight selection strategy based on Brownian motion. Aiming at the characteristics of complex networks structure and multiple design variables of energy harvesting non-orthogonal multiple access cognitive relay networks (EH

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Zhang, Jinxi, Gang Chuai, and Weidong Gao. "Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks." Entropy 24, no. 2 (2022): 300. http://dx.doi.org/10.3390/e24020300.

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Energy Harvesting (EH) is a promising paradigm for 5G heterogeneous communication. EH-enabled Device-to-Device (D2D) communication can assist devices in overcoming the disadvantage of limited battery capacity and improving the Energy Efficiency (EE) by performing EH from ambient wireless signals. Although numerous research works have been conducted on EH-based D2D communication scenarios, the feature of EH-based D2D communication underlying Air-to-Ground (A2G) millimeter-Wave (mmWave) networks has not been fully studied. In this paper, we considered a scenario where multiple Unmanned Aerial Ve

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3

Vázquez-Gallego, Francisco, Luis Alonso, and Jesús Alonso-Zárate. "Contention Tree-based Access for Wireless Machine-to-Machine Networks with Energy Harvesting." IEEE Transactions on Green Communications and Networking 1, no. 2 (2017): 1–12. https://doi.org/10.1109/TGCN.2017.2696367.

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In this paper, we consider a wireless machine-to-machine network composed of end-devices with energy harvesters that periodically transmit data to a gateway. While energy harvesting allows for perpetual operation, the uncertain amount of harvested energy may not guarantee fully continuous operation due to temporary energy shortages. This fact needs to be addressed at the medium access control layer. We thus investigate the performance of an energy harvesting-aware contention tree-based access (EH-CTA) protocol, which uses a tree-splitting algorithm to resolve collisions and takes energy availa

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4

Sarkar, Nurul I., Dev Pal Singh, and Monjur Ahmed. "A Survey on Energy Harvesting Wireless Networks: Channel Capacity, Scheduling, and Transmission Power Optimization." Electronics 10, no. 19 (2021): 2342. http://dx.doi.org/10.3390/electronics10192342.

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This paper presents a survey on energy harvesting (EH) wireless communication networks focusing on channel capacity, transmission schemes, and power optimization. While many network researchers focus on energy management policies addressing the intermittency and randomness of the EH processes, but the channel capacity, and transmission power optimization have not been fully explored yet. In this paper, we provide a review and analysis of channel capacity, offline and online transmission schemes, and power optimization from an information theory perspective. By reviewing and analyzing wireless

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5

Adu-Manu, Kofi Sarpong, Nadir Adam, Cristiano Tapparello, Hoda Ayatollahi, and Wendi Heinzelman. "Energy-Harvesting Wireless Sensor Networks (EH-WSNs)." ACM Transactions on Sensor Networks 14, no. 2 (2018): 1–50. http://dx.doi.org/10.1145/3183338.

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Calvo-Fullana, Miguel, Javier Matamoros, and Carles Antón-Haro. "Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks." IEEE Journal on Selected Areas in Communications 34, no. 12 (2016): 3685–95. https://doi.org/10.1109/JSAC.2016.2611859.

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In this paper, we investigate the problem of jointly selecting a predefined number of energy-harvesting (EH) sensors and computing the optimal power allocation. The ultimate goal is to minimize the reconstruction distortion at the fusion center. This optimization problem is, unfortunately, non-convex. To circumvent that, we propose two suboptimal strategies: 1) a joint sensor selection and power allocation (JSS-EH) scheme that, we prove, is capable of iteratively finding a stationary solution of the original problem from a sequence of surrogate convex problems and 2) a separate sensor selectio

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7

LI, QIULI, and WANTAO NING. "Matching Preclusion for Exchanged Hypercubes." Journal of Interconnection Networks 19, no. 03 (2019): 1940008. http://dx.doi.org/10.1142/s0219265919400085.

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As spanning subgraphs of hypercubes, exchanged hypercubes contain less edges but maintain lots of desired properties of hypercubes. This paper considers matching preclusion, a kind of measures of edge-fault tolerance, of exchanged hypercubes EH(s, t). We show that EH(s, t) is maximally matched, that is, for s ≥ t, mp(EH(s, t)) = t + 1 and EH(s, t) is super matched if and only if (s, t) ≠ (1, 1). Comparing with results of matching preclusion for hypercubes, we conclude that exchanged hypercubes maintain the matching preclusion property of hypercubes, except for EH(1, 1).

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8

Modem, Sudhakar, and Shankar Prakriya. "Performance of EH Protocols in Two-Hop Networks With a Battery-Assisted EH Relay." IEEE Transactions on Vehicular Technology 67, no. 10 (2018): 10022–26. http://dx.doi.org/10.1109/tvt.2018.2853614.

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Liu, Xiaoying, Ming Xia, Ping Hu, Kechen Zheng, and Shubin Zhang. "Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing." Wireless Communications and Mobile Computing 2022 (August 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/3940132.

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From the perspective of time domain and frequency domain, we investigate the energy harvesting cognitive radio networks (EH-CRNs) with multichannel, where the secondary transmitter (ST) opportunistically accesses the licensed subchannels to transmit packets by consuming the harvested energy. To explore the spectrum holes and improve the lifetime of the EH-CRNs, the ST scavenges energy from the radio-frequency (RF) signal in the wide band during the energy harvesting (EH) phase and exploits the harvested energy for sequential sensing and packet transmission during the rest of the time slot. Und

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10

Li, Pengxu, Gaofeng Cui, and Weidong Wang. "Distributed Optimal Random Access Scheme for Energy Harvesting Devices in Satellite Communication Networks." Sensors 19, no. 1 (2018): 99. http://dx.doi.org/10.3390/s19010099.

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This paper considers satellite communication networks where each satellite terminal is equipped with energy harvesting (EH) devices to supply energy continuously, and randomly transmits bursty packets to a geostationary satellite over a shared wireless channel. Packet replicas combined with a successive iteration cancellation scheme can reduce the negative impact of packet collisions but consume more energy. Hence, appropriate energy management policies are required to mitigate the adverse effect of energy outages. Although centralized access schemes can provide better performance on the netwo

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11

Jiang, Ruihong, Ke Xiong, Yu Zhang, Li Zhou, Tong Liu, and Zhangdui Zhong. "Outage and Throughput of WPCN-SWIPT Networks with Nonlinear EH Model in Nakagami-m Fading." Electronics 8, no. 2 (2019): 138. http://dx.doi.org/10.3390/electronics8020138.

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This paper analyzes outage probability and reliable throughput performance of a multi-user wireless-powered communication network-simultaneous wireless information and power transfer (WPCN-SWIPT) network with the logistic function-based (LG) nonlinear energy-harvesting (EH) model in Nakagami-m fading. Power-splitting (PS) receiver architecture is considered. The closed-form expressions of the system outage probability and the system reliable throughput are derived, and then the corresponding asymptotic expressions are also provided to achieve simpler calculation in the high-transmit power scen

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12

Galmés, Sebastià, and Soledad Escolar. "Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring." Sensors 18, no. 8 (2018): 2499. http://dx.doi.org/10.3390/s18082499.

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A technology drift is currently taking place from traditional battery-powered sensor networks, which exhibit limited lifetime, to the new Energy-Harvesting Wireless Sensor Networks (EH-WSN), which open the way towards self-sustained operation. However, this emergent modality also brings up new challenges, especially due to the time-varying nature and unpredictability of ambient energy sources. Most proposals for implementing EH-WSN rely on heuristic approaches to redesign the duty-cycling mechanism at the MAC layer, with the ultimate goal of optimizing network performance while preserving self

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13

Zhu, Long, Liang Xue, Xuan Gong, and Chunjie Wang. "Resource Allocation for a Secure SWIPT Network Based on a Quantitative Energy Harvesting Mechanism." Sensors 23, no. 11 (2023): 5117. http://dx.doi.org/10.3390/s23115117.

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Simultaneous wireless information and power transfer (SWIPT) technology can effectively extend the lifecycle of energy-constrained networks. In order to improve the energy harvesting (EH) efficiency and network performance in secure SWIPT networks, this paper studies the resource allocation problem based on the quantitative EH mechanism in the secure SWIPT network. Based on a quantitative EH mechanism and nonlinear EH model, a quantified power-splitting (QPS) receiver architecture is designed. This architecture is applied in the multiuser multi-input single-output secure SWIPT network. With th

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14

Huang, Xueqing, and Nirwan Ansari. "Energy sharing within EH-enabled wireless communication networks." IEEE Wireless Communications 22, no. 3 (2015): 144–49. http://dx.doi.org/10.1109/mwc.2015.7143338.

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15

Sonbul, Omar S., and Muhammad Rashid. "Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study." Sensors 23, no. 20 (2023): 8468. http://dx.doi.org/10.3390/s23208468.

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To perform a comprehensive assessment of important infrastructures (like bridges), the process of structural health monitoring (SHM) is employed. The development and implementation of SHM systems are generally based on wireless sensor networks (WSN) platforms. However, most of the WSN platforms are battery-powered, and therefore, have a limited battery lifetime. The power constraint is generally addressed by applying energy harvesting (EH) technologies. As a result, there exists a plethora of WSN platforms and EH techniques. The employment of a particular platform and technique are important f

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16

Lee, Kisong. "Low-Complexity Transmit Power Control for Secure Communications in Wireless-Powered Cognitive Radio Networks." Sensors 21, no. 23 (2021): 7837. http://dx.doi.org/10.3390/s21237837.

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In this study, wireless-powered cognitive radio networks (WPCRNs) are considered, in which N sets of transmitters, receivers and energy-harvesting (EH) nodes in secondary networks share the same spectrum with primary users (PUs) and none of the EH nodes is allowed to decode information but can harvest energy from the signals. Given that the EH nodes are untrusted nodes from the point of view of information transfer, the eavesdropping of secret information can occur if they decide to eavesdrop on information instead of harvesting energy from the signals transmitted by secondary users (SUs). For

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17

Thien Van, Hoang, Quyet-Nguyen Van, Danh Hong Le, et al. "Threshold-based Wireless-based NOMA Systems over Log-Normal Channels: Ergodic Outage Probability of Joint Time Allocation and Power Splitting Schemes." Elektronika ir Elektrotechnika 27, no. 3 (2021): 78–83. http://dx.doi.org/10.5755/j02.eie.28971.

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Due to the development of state-of-the-art fifth-generation communication (5G) and Internet-of-Things (IoT), the demands for capacity and throughput of wireless networks have increased significantly. As a promising solution for this, a radio access technique, namely, non-orthogonal multiple access (NOMA) has been investigated. Particularly, in this paper, we analyse the system performance of a joint time allocation and power splitting (JTAPS) protocol for NOMA-based energy harvesting (EH) wireless networks over indoor scenarios, which we modelled with log-normal fading channels. Accordingly, f

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18

Oikonomakou, Maria, Angelos Antonopoulos, Luis Alonso, and Christos Verikoukis. "Energy Sharing and Trading in Multi-Operator Heterogeneous Network Deployments." IEEE Transactions on Vehicular Technology 68, no. 5 (2019): 4975–88. https://doi.org/10.1109/TVT.2019.2902925.

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With a view to the expected increased data traffic volume and energy consumption of the fifth generation networks, the use of renewable energy (RE) sources and infrastructure sharing have been embraced as energy and cost-saving technologies. Aiming at reducing cost and grid energy consumption, in the present paper, we study RE exchange (REE) possibilities in late-trend network deployments of energy harvesting (EH) macrocell and small cell base stations (EH-MBSs, EH-SBSs) that use an EH system, an energy storage system, and the smart grid as energy procurement sources. On this basis, we study a

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19

Al_Issa, Huthaifa Ahmad, La’aly Ahmed Al-Samrraie, Khalideh Al bkoor Rawashdeh, and Aya Sate’ Jaradat. "Collecting data in smart cities using energy harvesting technology." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 2 (2022): 846. http://dx.doi.org/10.11591/ijpeds.v13.i2.pp846-855.

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<p>This work investigates the problems of extending the sensors network lifetime in smart cities. The limited capacity of the sensors’ batteries, and the difficulty of replacing the sensors’ batteries in hard-to-reach areas are some of the main challenges that contribute in reducing the lifetimes of the networks. The direction of this study is to use renewable energy as an energy source for collecting data from various infrastructures that are distributed throughout these cities. We present a model for data collection based on combining energy harvesting (EH) with the cluster head rotati

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20

Huthaifa, Ahmad Al_Issa, Ahmed Al-Samrraie La'aly, Al bkoor Rawashdeh Khalideh, and Sate' Jaradat Aya. "Collecting data in smart cities using energy harvesting technology." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 2 (2022): 846–55. https://doi.org/10.11591/ijpeds.v13.i2.pp846-855.

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This work investigates the problems of extending the sensors network lifetime in smart cities. The limited capacity of the sensors’ batteries, and the difficulty of replacing the sensors’ batteries in hard-to-reach areas are some of the main challenges that contribute in reducing the lifetimes of the networks. The direction of this study is to use renewable energy as an energy source for collecting data from various infrastructures that are distributed throughout these cities. We present a model for data collection based on combining energy harvesting (EH) with the cluster head rot

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21

Liao, Jianbin, Hongliang Yu, Weibin Jiang, Ruiquan Lin, and Jun Wang. "Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks." PLOS ONE 18, no. 1 (2023): e0279886. http://dx.doi.org/10.1371/journal.pone.0279886.

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This paper proposes an optimal resource allocation method. The method is to maximize the Energy Efficiency (EE) for an Energy Harvesting (EH) enabled underlay Cognitive Radio (CR) network. First, we assumed the Secondary Users (SUs) can harvest energy from the surrounding Radio Frequency (RF) signals. Then, we modelled the EE maximisation problem as a joint time and power optimization model. Next, the optimal EH time allocation factor can be calculated. After that the optimal power allocation strategy can be obtain by the fractional programming and Lagrange multiplier method. Finally simulatio

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22

Wang, Yaqing, Shiyong Chen, Yucheng Wu, and Chengxin Zhao. "Maximizing Average Throughput of Cooperative Cognitive Radio Networks Based on Energy Harvesting." Sensors 22, no. 22 (2022): 8921. http://dx.doi.org/10.3390/s22228921.

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Energy harvesting (EH) and cooperative communication techniques have been widely used in cognitive radio networks. However, most studies on throughput in energy-harvesting cooperative cognitive radio networks (EH-CCRNs) are end-to-end, which ignores the overall working state of the network. For the above problems, under the premise of prioritizing the communication quality of short-range users, this paper focuses on the optimization of the EH-CCRN average throughput, with energy and transmission power as constraints. The formulated problem was an unsolved non-deterministic polynomial-time hard

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23

Shang, Xiaohui, Hao Yin, Yida Wang, Mu Li, and Yong Wang. "Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold." Sensors 20, no. 6 (2020): 1632. http://dx.doi.org/10.3390/s20061632.

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In this paper, we investigate the impact of saturation nonlinear energy harvesting (EH) and activation threshold on the multiuser wireless powered sensor networks (WPSNs) from the physical layer security (PLS) perspective. In particular, for improving the secrecy performance, the generalized multiuser scheduling (GMS) scheme is exploited, in which the Kth strongest sensor is chosen based on the legitimate link. For evaluating the impact of various key parameters on the security of system, we obtain the exact closed-form expressions for secrecy outage probability (SOP) under linear EH (LEH), sa

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Babaei, Mohammadreza, Lütfiye Durak-Ata, and Ümit Aygölü. "New Practical Nonlinear Energy-Harvesting Models for Wireless-Powered Communications." Wireless Communications and Mobile Computing 2022 (June 25, 2022): 1–19. http://dx.doi.org/10.1155/2022/6534754.

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As a massive number of nodes are expected to be connected to each other in next-generation wireless networks, the power supply of such multiple-antenna nodes is a challenge and requires new and sustainable solutions. Radio frequency energy harvesting (EH) is among the promising approaches to solve this issue. In this paper, two new mathematically tractable nonlinear EH (NL-EH) models are proposed, for which the system performance is evaluated in terms of average harvested power, throughput, and bit error probability. The system consists of one multiantenna power-constraint source harvesting it

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Andrawes, Admoon, Rosdiadee Nordin, and Mahamod Ismail. "Wireless Energy Harvesting with Cooperative Relaying under the Best Relay Selection Scheme." Energies 12, no. 5 (2019): 892. http://dx.doi.org/10.3390/en12050892.

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One of the most notable challenges in wireless communications is energy scarcity, which has attracted considerable attention in Fifth Generation (5G) wireless network research. This paper investigates the performance of energy harvesting (EH) relays under the best relay selection (BRS) scheme. The results show degradation of spectral efficiency (SE) due to EH relaying compared with conventional cooperative relaying (CR). Conversely, EH relaying provides a positive gain compared with conventional CR, increasing the lifetime of the network and decreasing energy consumption (EC) and operational c

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Mushtaq, Muhammad Umer, Hein Venter, Avinash Singh, and Muhammad Owais. "Advances in Energy Harvesting for Sustainable Wireless Sensor Networks: Challenges and Opportunities." Hardware 3, no. 1 (2025): 1. https://doi.org/10.3390/hardware3010001.

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Energy harvesting wireless sensor networks (EH-WSNs) appear as the fundamental backbone of research that attempts to expand the lifespan and efficiency of sensor networks positioned in resource-constrained environments. This review paper provides an in-depth examination of latest developments in this area, highlighting the important components comprising routing protocols, energy management plans, cognitive radio applications, physical layer security (PLS), and EH approaches. Across a well-ordered investigation of these features, this article clarifies the notable developments in technology, h

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Le, Anh-Tu, and Dinh-Thuan Do. "Joint impacts of relaying scheme and wireless power transfer in multiple access of cellular networks." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 811–19. http://dx.doi.org/10.11591/eei.v10i2.1936.

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This paper considers ergodic capacity of energy harvesting (EH) based cellular networks. Such a network employs non-orthogonal multiple access (NOMA) together with relaying scheme to serve two far users. In this system model, relay is facilitated power splitting (PS) protocol to implement energy harvesting (EH). To examine capacity, expressions of signal to noise ratio (SNR) need be computed to achieve capacity. Power allocation factors are different for two users in such system and hence performance gap happens to distinguish requirements for separated users. It can be confirmed that the prop

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Anh-Tu, Le, and Do Dinh-Thuan. "Joint impacts of relaying scheme and wireless power transfer in multiple access of cellular networks." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 811~819. https://doi.org/10.11591/eei.v10i2.1936.

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This paper considers ergodic capacity of energy harvesting (EH) based cellular networks. Such a network employs non-orthogonal multiple access (NOMA) together with relaying scheme to serve two far users. In this system model, relay is facilitated power splitting (PS) protocol to implement energy harvesting (EH). To examine capacity, expressions of signal to noise ratio (SNR) need be computed to achieve capacity. Power allocation factors are different for two users in such system and hence performance gap happens to distinguish requirements for separated users. It can be confirmed that the prop

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Xu, Yi-Han, Jing-Wei Xie, Yang-Gang Zhang, Min Hua, and Wen Zhou. "Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network." Sensors 20, no. 1 (2019): 44. http://dx.doi.org/10.3390/s20010044.

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Wireless body area networks (WBANs) have attracted great attention from both industry and academia as a promising technology for continuous monitoring of physiological signals of the human body. As the sensors in WBANs are typically battery-driven and inconvenient to recharge, an energy efficient resource allocation scheme is essential to prolong the lifetime of the networks, while guaranteeing the rigid requirements of quality of service (QoS) of the WBANs in nature. As a possible alternative solution to address the energy efficiency problem, energy harvesting (EH) technology with the capabil

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Salari, Soheil, Il-Min Kim, Dong In Kim, and Francois Chan. "Joint EH Time Allocation and Distributed Beamforming in Interference-Limited Two-Way Networks With EH-Based Relays." IEEE Transactions on Wireless Communications 16, no. 10 (2017): 6395–408. http://dx.doi.org/10.1109/twc.2017.2723466.

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Zareei, Mahdi, Cesar Vargas-Rosales, Mohammad Hossein Anisi, et al. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications." Energies 12, no. 14 (2019): 2794. http://dx.doi.org/10.3390/en12142794.

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Fast development in hardware miniaturization and massive production of sensors make them cost efficient and vastly available to be used in various applications in our daily life more specially in environment monitoring applications. However, energy consumption is still one of the barriers slowing down the development of several applications. Slow development in battery technology, makes energy harvesting (EH) as a prime candidate to eliminate the sensor’s energy barrier. EH sensors can be the solution to enabling future applications that would be extremely costly using conventional battery-pow

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Cheng, Yulun, and Longxiang Yang. "An Energy-Efficient Transmission Protocol for RNC-Based Cooperative WSNs with Partial Energy Harvesting Nodes." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/937404.

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This paper addresses the energy-efficient transmission for the scenario of cooperative wireless sensor networks with partial energy harvesting (EH) nodes. A new EH decoding-recoding policy is proposed by regarding the EH constraints and the characteristics of random network coding. We develop an energy efficiency model to investigate the tradeoff mechanism between the saved energy and the waiting time of the EH node, through which the corresponding parameters in the policy are also optimized. Moreover, we propose a novel transmission protocol by embedding the considered policy in the opportuni

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Wang, Jihong, Zhuo Wang, and Lidong Zhang. "A Simultaneous Wireless Information and Power Transfer-Based Multi-Hop Uneven Clustering Routing Protocol for EH-Cognitive Radio Sensor Networks." Big Data and Cognitive Computing 8, no. 2 (2024): 15. http://dx.doi.org/10.3390/bdcc8020015.

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Clustering protocols and simultaneous wireless information and power transfer (SWIPT) technology can solve the issue of imbalanced energy consumption among nodes in energy harvesting-cognitive radio sensor networks (EH-CRSNs). However, dynamic energy changes caused by EH/SWIPT and dynamic spectrum availability prevent existing clustering routing protocols from fully leveraging the advantages of EH and SWIPT. Therefore, a multi-hop uneven clustering routing protocol is proposed for EH-CRSNs utilizing SWIPT technology in this paper. Specifically, an EH-based energy state function is proposed to

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Orians, Carlyn, Shyanika Rose, Brian Hubbard, et al. "Strengthening the Capacity of Local Health Agencies through Community-Based Assessment and Planning." Public Health Reports 124, no. 6 (2009): 875–82. http://dx.doi.org/10.1177/003335490912400616.

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Objectives. We evaluated the effectiveness of the Protocol for Assessing Community Excellence in Environmental Health (PACE EH) in building competency in essential environmental health services and renewing efforts to engage the community in problem solving. Competency and community engagement have been identified by environmental health practitioners as important to meet new threats to public health. Methods. We conducted a national survey and 24 case studies of public health agencies. We invited 917 organizations to participate in the national survey because they had requested a copy of the

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Parhoudeh, Sina, Pablo Eguía López, and Abdollah Kavousi Fard. "Stochastic Scheduling of Grid-Connected Smart Energy Hubs Participating in the Day-Ahead Energy, Reactive Power and Reserve Markets." Smart Cities 7, no. 6 (2024): 3587–615. http://dx.doi.org/10.3390/smartcities7060139.

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An Energy Hub (EH) is able to manage several types of energy at the same time by aggregating resources, storage devices, and responsive loads. Therefore, it is expected that energy efficiency is high. Hence, the optimal operation for smart EHs in energy (gas, electrical, and thermal) networks is discussed in this study based on their contribution to reactive power, the energy market, and day-ahead reservations. This scheme is presented in a smart bi-level optimization. In the upper level, the equations of linearized optimal power flow are used to minimize energy losses in the presented energy

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Muhammad Umer, Mushtaq, Jiang Hong, Owais Muhammad, Fuad A. Awwad, and Emad A. A. Ismail. "Energy-Efficient and Resilient Secure Routing in Energy Harvesting Wireless Sensor Networks with Transceiver Noises: EcoSecNet Design and Analysis." Journal of Sensors 2024 (May 30, 2024): 1–14. http://dx.doi.org/10.1155/2024/3570302.

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Cooperative energy harvesting wireless sensor networks (EH-WSNs) using energy-harvesting-based physical layer security (PLS) appears to be a promising way to meet information security and energy efficiency goals at the same time. PLS uses energy harvesting (EH) features to protect data while transmitting. This eliminates the need for traditional upper-layer data encryption. However, this method introduces new challenges, particularly in scenarios where potential adversaries can intercept sensitive information through network relays. When it comes to multihop, multipath cooperative EH-WSNs, it

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Babaei, Mohammadreza, Lütfiye Durak-Ata, and Ümit Aygölü. "Performance Analysis of Dual-Hop AF Relaying with Non-Linear/Linear Energy Harvesting." Sensors 22, no. 16 (2022): 5987. http://dx.doi.org/10.3390/s22165987.

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Massive device-to-device communication nodes and Internet of Things (IoT) devices are expected to be crucial components in next-generation wireless networks. However, the energy constraint of these nodes presents a challenge since the energy of the batteries is limited. Motivated by this, radio frequency energy harvesting (EH) has been developed as an efficient strategy to overcome the energy constraint of IoT devices and sensor networks. In this paper, a wireless-powered dual-hop amplify-and-forward relaying system, in the absence of a direct link between the source (S) and the destination (D

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Lin, Zhihua, Shihua Cao, and Jianqing Li. "Time Switching Based Wireless Powered Relay Transmission with Uplink NOMA." Sensors 21, no. 16 (2021): 5467. http://dx.doi.org/10.3390/s21165467.

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Non-orthogonal multiple access (NOMA) utilizes power domain multiplexing to improve spectrum efficiency compared with orthogonal multiple access (OMA). In the Internet of Things (IoT) uplink NOMA networks, if the channel between the far-end node and the base station is in deep fading, allocating larger transmitting power for this node cannot achieve higher spectrum efficiency and overall system throughput. Relay cooperative communication reduces the transmitting power at the far-end node but leads to extra energy expenditure at the relay node. Fortunately, simultaneous wireless information and

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Chen, Quan, Zhipeng Cai, Lianglun Cheng, Hong Gao, and Jianzhong Li. "Energy-collision-aware Minimum Latency Aggregation Scheduling for Energy-harvesting Sensor Networks." ACM Transactions on Sensor Networks 17, no. 4 (2021): 1–34. http://dx.doi.org/10.1145/3461013.

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The emerging energy-harvesting technology enables charging sensor batteries with renewable energy sources, which has been effectively integrated into Wireless Sensor Networks (EH-WSNs). Due to the limited energy-harvesting capacities of tiny sensors, the captured energy remains scarce and differs greatly among nodes, which makes the data aggregation scheduling problem more challenging than that in energy-abundant WSNs. In this article, we investigate the Minimum Latency Aggregation Scheduling (MLAS) problem in EH-WSNs. First, we identify a new kind of collision in EH-WSNs, named as energy-coll

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Do, Dinh-Thuan. "Optimal Energy Harvesting Scheme for Power Beacon-Assisted Wireless-Powered Networks." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 3 (2017): 802. http://dx.doi.org/10.11591/ijeecs.v7.i3.pp802-808.

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In this paper, we consider one-way relay with energy harvesting system based on power beacon (PB), in which the relay node harvests transmitted power from the PB station to forward signals to destination. We also analyse the relay network model with amplify-and-forward (AF) protocol for information cooperation and Power Splitting-based Relaying (PSR) protocol for power transfer. In particular, the outage probability and optimal energy harvesting (EH) power splitting fraction of novel scheme in are presented. We obtain analytical closed-form expression of optimal energy harvesting (EH) power sp

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Dinh-Thuan, Do. "Optimal Energy Harvesting Scheme for Power Beacon-Assisted Wireless-Powered Networks." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 1 (2017): 802–8. https://doi.org/10.11591/ijeecs.v7.i3.pp802-808.

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In this paper, we consider one-way relay with energy harvesting system based on power beacon (PB), in which the relay node harvests transmitted power from the PB station to forward signals to destination. We also analyse the relay network model with amplify-and-forward (AF) protocol for information cooperation and Power Splitting-based Relaying (PSR) protocol for power transfer. In particular, the outage probability and optimal energy harvesting (EH) power splitting fraction of novel scheme in are presented. We obtain analytical closed-form expression of optimal energy harvesting (EH) power sp

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Neyland, Blake R., Robert Kraft, Mary Lyles, et al. "EFFECTS OF FUNCTIONAL BRAIN NETWORKS AND WHITE MATTER DISEASE ON MOBILITY OF OLDER ADULTS IN AN EXERCISE INTERVENTION." Innovation in Aging 3, Supplement_1 (2019): S851—S852. http://dx.doi.org/10.1093/geroni/igz038.3132.

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Abstract Declining mobility is associated with increased accumulation of white matter hyperintensities (WMH). However, a high WMH burden is not always accompanied by impaired mobility. Our previous work demonstrates that some variance in mobility may be explained by brain network connectivity. Here, we extended this work by measuring WMHs and brain networks in older adults participating in a lifestyle intervention. The Short Physical Performance Battery (SPPB) and resting state functional magnetic resonance imaging (fMRI) were collected before and after a 5-month caloric restriction plus aerob

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Zhou, Chengrui, Xinru Wang, Yanfei Dou, and Xiaomin Chen. "Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting Model." Entropy 27, no. 5 (2025): 456. https://doi.org/10.3390/e27050456.

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Integrated sensing and communication (ISAC) can improve the energy harvesting (EH) efficiency of simultaneous wireless information and power transfer (SWIPT)-assisted IoT networks by enabling precise energy harvest. However, the transmit power is increased in the hybrid system due to the fact that the sensing signals are required to be transferred in addition to the communication data. This paper aims to tackle this issue by formulating an optimization problem to minimize the transmit power of the base station (BS) under a nonlinear EH model, considering the coexistence of power-splitting user

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Qi, Xin, Kun Wang, AnPeng Huang, Haifeng Hu, and Guangjie Han. "MAC Protocol in Wireless Body Area Network for Mobile Health: A Survey and an Architecture Design." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/289404.

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Wireless body area networks (WBANs) have become a leading solution in mobile health (mHealth). Typically, a WBAN consists of in-body or around-body sensor nodes for collecting data of physiological feature. For a WBAN to provide high throughput and low delay in an energy-efficient way, designing an efficient medium access control (MAC) protocol is of paramount importance because the MAC layer coordinates nodes’ access to the shared wireless medium. To show the difference of MAC protocols between Energy-Harvesting wireless body area networks (EH-WBANs) and battery powered WBANs (BT-WBANs), this

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YANG, Bo, and Lei WANG. "EH-EC: High performance data forwarding mechanism for opportunistic networks." Journal of Computer Applications 30, no. 12 (2011): 3180–83. http://dx.doi.org/10.3724/sp.j.1087.2010.03180.

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El Shafie, Ahmed, Asma Mabrouk, Kamel Tourki, Naofal Al-Dhahir, and Ridha Hamila. "Securing Untrusted RF-EH Relay Networks Using Cooperative Jamming Signals." IEEE Access 5 (2017): 24353–67. http://dx.doi.org/10.1109/access.2017.2768508.

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Lee, Kisong. "Energy-Efficient Secure Communications for Wireless-Powered Cognitive Radio Networks." Sensors 21, no. 23 (2021): 8040. http://dx.doi.org/10.3390/s21238040.

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In this study, we investigate energy-efficient secure communications for wireless-powered cognitive ratio networks, in which multiple secondary users (SUs) share the same frequency band with primary users (PUs) and energy harvesting (EH) nodes harvest energy from the transmitted signals, even though information decoding is not permitted. To maximize the average secrecy energy efficiency (SEE) of SUs while ensuring acceptable interference on PUs and the required amount of energy for the EH nodes, we propose an energy-efficient transmit power control algorithm using dual decomposition, wherein s

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Hoang-Sy, Nguyen, and Bui Thanh-Khiet. "Overall outage event of self-sustaining low-power cooperative relaying networks." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 3 (2022): 588–96. https://doi.org/10.12928/telkomnika.v20i3.21925.

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This paper investigates the implementation of the household low-power energy harvesting (LoPEH) wireless sensor networks (WSN) over log-normal fading channels. The relays are battery-operated and the stochastic harvested energy flow to the batteries is characterized with the Markov property of energy buffer status. The communication is established with the combination of direct link and cooperative relays. The best relay is chosen based on a relay selection (RS) scheme namely optimal relay selection (OPRS). It can be drawn that within a particular range of signal-to-noise ratio (SNR), the ener

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Panic, Stefan R., Dushantha Nalin K. Jayakody, Sofiene Affes, and Palanivelu Muthuchidambaranathan. "Hardware Impaired Self-Energized Bidirectional Sensor Networks over Complex Fading Channels." Sensors 20, no. 19 (2020): 5574. http://dx.doi.org/10.3390/s20195574.

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Rapid emergence of wireless sensor networks (WSN) faces significant challenges due to limited battery life capacity of composing sensor nodes. It is substantial to construct efficient techniques to prolong the battery life of the connected sensors in order to derive their full potential in the future Internet of Things (IoT) paradigm. For that purpose, different energy harvesting (EH) schemes are relying on a wide array of sources. Following the same objective, in this work, we have observed a time-switching EH for half-duplex (HD) bidirectional WSN, which performed in-between relaying over Ho

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Han, Song, Luo Li, and Xinbin Li. "Deep Q-Network-Based Cooperative Transmission Joint Strategy Optimization Algorithm for Energy Harvesting-Powered Underwater Acoustic Sensor Networks." Sensors 20, no. 22 (2020): 6519. http://dx.doi.org/10.3390/s20226519.

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Cooperative transmission is a promising technology for underwater acoustic sensor networks (UASNs) to ensure the effective collection of underwater information. In this paper, we study the joint relay selection and power allocation problem to maximize the cumulative quality of information transmission in energy harvesting-powered UASNs (EH-UASNs). First, we formulate the process of cooperative transmission with joint strategy optimization as a Markov decision process model. In the proposed model, an effective state expression is presented to better reveal interactive relationship between learn

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