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Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "EH Networks"

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 (November 19, 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-NOMA-CRNs), we utilize the proposed hybrid strategy improved bat algorithm (HSIBA) to optimize the performance of EH-NOMA-CRNs. At first, we construct a novel two-hop underlay power beacon assisted EH-NOMA-CRN, and derive the closed-form expressions of secondary network’s outage probability and throughput. Then, the secondary network performance optimization is formulated as the throughput maximation problem with regard to EH ratio and power allocation factors. Subsequently, the HSIBA is employed to optimize the above parameters. Numerical results show that the proposed HSIBA can achieve optimization to the constructed EH-NOMA-CRN with faster convergence speed and higher stability.

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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 (September 24, 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 networking literature, we found that EH is a technologically feasible and economically viable paradigm for cost-effectiveness in the design and deployment of next-generation wireless networks. Finally, we identify open research problems and future research directions in the emerging field of EH wireless networks. We expect this study to stimulate more research endeavors to build energy-efficient scalable next-generation wireless network systems.

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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 (May 27, 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 the goal of maximizing the network throughput, the optimization problem model is established under the conditions of meeting the legal user’s signal-to-interference-plus-noise ratio (SINR), EH requirements, the total transmit power of the base station, and the security SINR threshold constraints. Due to the coupling of variables, the problem is a nonconvex optimization problem. To deal with the nonconvex optimization problem, a hierarchical optimization method is adopted. Firstly, an optimization algorithm based on the optimal received power of EH circuit is proposed, and a power mapping table is constructed through the optimization algorithm, from which the optimal power ratio to meet the user’s EH requirements is obtained; then, the nonconvex problem is transformed into a convex problem by using variable substitution, semidefinite relaxation, dichotomous optimization, etc. The simulation results show that compared with the power splitting receiver architecture, the input power threshold range of the QPS receiver architecture is larger, which can avoid the EH circuit falling into the saturated working area and maintain high network throughput.

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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 (February 20, 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 Vehicles (UAVs) are deployed to provide energy for D2D Users (DUs) and data transmission for Cellular Users (CUs). We aimed to improve the network EE of EH-enabled D2D communications while reducing the time complexity of beam alignment for mmWave-enabled D2D Users (DUs). We considered a scenario where multiple EH-enabled DUs and CUs coexist, sharing the full mmWave frequency band and adopting high-directive beams for transmitting. To improve the network EE, we propose a joint beamwidth selection, power control, and EH time ratio optimization algorithm for DUs based on alternating optimization. We iteratively optimized one of the three variables, fixing the other two. During each iteration, we first used a game-theoretic approach to adjust the beamwidths of DUs to achieve the sub-optimal EE. Then, the problem with regard to power optimization was solved by the Dinkelbach method and Successive Convex Approximation (SCA). Finally, we performed the optimization of the EH time ratio using linear fractional programming to further increase the EE. By performing extensive simulation experiments, we validated the convergence and effectiveness of our algorithm. The results showed that our proposed algorithm outperformed the fixed beamwidth and fixed power strategy and could closely approach the performance of exhaustive search, particle swarm optimization, and the genetic algorithm, but with a much reduced time complexity.

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Galmés, Sebastià, and Soledad Escolar. "Analytical Model for the Duty Cycle in Solar-Based EH-WSN for Environmental Monitoring." Sensors 18, no. 8 (August 1, 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-sustained and continuous operation. In contrast to the common system-wide reduced duty cycle of battery-powered sensor networks, the duty cycle in EH-WSN is much larger and adapted to the energy harvesting rate and traffic load of each node in the network. In this paper, we focus on solar-based EH-WSN devoted to environmental monitoring. In contrast to current works, we follow an analytical approach, which results into closed-form expressions for the duty cycle and initial energy storage that guarantee self-sustained operation to any node in a solar-based EH-WSN. To center the analysis, we consider TinyOS sensor nodes, though we postulate that the essential components of the obtained formulation will contribute to further develop duty cycle adaptation schemes for TinyOS and other software platforms.

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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 (March 7, 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 cost. Moreover, the EH relaying network has better energy efficiency (EE) compared with conventional relaying networks. Results show that when EH relaying is applied, EE is improved through an increased number of relays. Finally, the SE-EE metric is presented for both conventional and EH relays. Results show that the performance of the proposed technique was able to achieve a maximum SE of 1.4 bits/s/Hz and maximum EE at 0.6 bits/s/Hz, and for the case of conventional relays, a maximum SE of 2 bits/s/Hz and EE at 1.1 bits/s/Hz. This result implies that the proposed EH scheme provides an optimum solution for energy-constrained wireless CR systems.

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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 (November 18, 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 hardness (NP-hard) problem. To make it tractable to solve, a multi-user time-power resource allocation algorithm (M-TPRA) is proposed, which is based on sub-gradient descent and unary linear optimization methods. Simulation results show that the M-TPRA algorithm can improve the average throughput of the network. In addition, the energy consumed by executing the M-TPRA algorithm is analyzed.

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Zareei, Mahdi, Cesar Vargas-Rosales, Mohammad Hossein Anisi, Leila Musavian, Rafaela Villalpando-Hernandez, Shidrokh Goudarzi, and Ehab Mahmoud Mohamed. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications." Energies 12, no. 14 (July 20, 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-powered sensors. In this paper, we analyze the performance improvement and evaluation of EH sensors in various situations. A network model is developed to allow us to examine different scenarios. We borrow a clustering concept, as a proven method to improve energy efficiency in conventional sensor network and brought it to EH sensor networks to study its effect on the performance of the network in different scenarios. Moreover, a dynamic and distributed transmission power management for sensors is proposed and evaluated in both networks, with and without clustering, to study the effect of power balancing on the network end-to-end performance. The simulation results indicate that, by using clustering and transmission power adjustment, the power consumption can be distributed in the network more efficiently, which result in improving the network performance in terms of a packet delivery ratio by 20%, 10% higher network lifetime by having more alive nodes and also achieving lower delay by reducing the hop-count.

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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 (June 1, 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 rotation feature, which results in flexible and sustainable networks that can be used in smart cities. Simulation results depict the performance of the proposed model with and without EH technology. The metrics used to compare the performance of the proposed model with and without EH technology include the consumed energy by sensors, number of live and dead sensors, and energy variance. The results show that the network lifetime increases when EH technology is used.</p>

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Li, Pengxu, Gaofeng Cui, and Weidong Wang. "Distributed Optimal Random Access Scheme for Energy Harvesting Devices in Satellite Communication Networks." Sensors 19, no. 1 (December 28, 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 networks’ throughput, they expend extra signallings to allocate the resources, which leads to non-negligible communication latencies, especially for the satellite communication networks. In order to reduce the communication overhead and delay, a distributed random access (RA) scheme considering the energy constraints is studied. Each EH satellite terminal (EH-ST) decides whether to transmit the packet and how many replicas are transmitted according to its local energy and EH rates to maximize the average long-term network throughput. Owing to the nonconvexity of this problem, we adopted a game theoretic method to approximate the optimal solution. By forcing all the EH-STs to employ the same policy, we characterized and proved the existence and uniqueness of the symmetric Nash equilibrium (NE) of the game. Moreover, an efficient algorithm is proposed to calculate the symmetric NE by combining a policy iteration algorithm and the bisection method. The performance of the proposed RA scheme was investigated via numerous simulations. Simulation results showed that the proposed RA scheme is applicable to the EH devices in the future low-cost interactive satellite communication system.

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Більше джерел

Дисертації з теми "EH Networks"

Tsushima, Hanako. "A study of the interactors of Eps15 homology domain and the role of the EH network in the model system of Caenorhabditis elegans." Thesis, Open University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497396.

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Epsl5 homology (EH) domain-containing proteins have been implicated in diverse intracellular signalling pathways, such as endocytosis, actin cytoskeleton organization, nucleo-cytosolic shuttling and mitogenic signalling. However, the extent of the protein-protein interactions mediated by the EH domain at the level of a whole organism has not yet been addressed. This project aims to gain an overview of the EH network in a model system, C. elegans, by identifying interactors of all EH-domain containing proteins present in C. elegans. Five genes encode EH proteins in the C. elegans genome and the isolated EH domains were used to screen a C. elegans cDNA library using the Yeast Two Hybrid system. The validation of the putative interactions was carried out by in vitro pull-down assays. The biological relevance of the interactions was tested genetically using C elegans as a model system. The genetic interactions were monitored using available mutants for four of the five EH encoding genes, in which the genes of the putative interactors were knocked-down by RNA interference.

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Khairnar, Parag S. "Energy And Channel-Aware Power And Discrete Rate Adaptation And Access In Energy Harvesting Wireless Networks." Thesis, 2011. http://etd.iisc.ernet.in/handle/2005/1876.

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Energy harvesting (EH) nodes, which harvest energy from the environment in order to communicate over a wireless link, promise perpetual operation of wireless networks. The primary focus of the communication system design shifts from being as energy conservative as possible to judiciously handling the randomness in the energy harvesting process in order to enhance the system performance. This engenders a significant redesign of the physical and multiple access layers of communication. In this thesis, we address the problem of maximizing the throughput of a system that consists of rate-adaptive EH nodes that transmit data to a common sink node. We consider the practical case of discrete rate adaptation in which a node selects its transmission power from a set of finitely many rates and adjusts its transmit power to meet a bit error rate (BER) constraint. When there is only one EH node in the network, the problem involves determining the rate and power at which the node should transmit as a function of its channel gain and battery state. For the system with multiple EH nodes, which node should be selected also needs to be determined. We first prove that the energy neutrality constraint, which governs the operation of an EH node, is tighter than the average power constraint. We then propose a simple rate and power adaptation scheme for a system with a single EH node and prove that its throughput approaches the optimal throughput arbitrarily closely. We then arrive at the optimal selection and rate adaptation rules for a multi-EH node system that opportunistically selects at most one node to transmit at any time. The optimal scheme is shown to significantly outperform other ad hoc selection and transmission schemes. The effect of energy overheads, such as battery storage inefficiencies and the energy required for sensing and processing, on the transmission scheme and its overall throughput is also analytically characterized. Further, we show how the time and energy overheads incurred by the opportunistic selection process itself affect the adaptation and selection rules and the overall system throughput. Insights into the scaling behavior of the average system throughput in the asymptotic regime, in which the number of nodes tend to infinity, are also obtained. We also optimize the maximum time allotted for selection, so as to maximize the overall system throughput. For systems with EH nodes or non-EH nodes, which are subject to an average power constraint, the optimal rate and power adaptation depends on a power control parameter, which hitherto has been calculated numerically. We derive novel asymptotically tight bounds and approximations for the same, when the average rate of energy harvesting is large. These new expressions are analytically insightful, computationally useful, and are also quite accurate even in the non-asymptotic regime when average rate of energy harvesting is relatively small. In summary, this work develops several useful insights into the design of selection and transmission schemes for a wireless network with rate-adaptive EH nodes.

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Частини книг з теми "EH Networks"

Ren, Ju, Ning Zhang, and Xuemin Shen. "Joint Channel Allocation and Sampling Rate Control in EH-CRSNs." In Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks, 81–106. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60318-6_5.

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Khan, Adil, Sheeraz Ahmad, Mukhtaj Khan, Mian Ahmad Jan, Zahoor Ali Khan, and M. Usman Akhtar. "EH-ARCUN: Energy Harvested Analytical Approach Towards Reliability with Cooperation for Underwater WSNs." In Recent Trends and Advances in Wireless and IoT-enabled Networks, 147–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99966-1_14.

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Verma, Vivek Kumar, and Vinod Kumar. "Review of MAC Protocols for Energy Harvesting Wireless Sensor Network (EH-WSN)." In Internet of Things and Big Data Applications, 141–49. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39119-5_10.

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"NEIGHBOR DISCOVERY FOR COGNITIVE RADIO NETWORKS ATH ARA LI KHAN, M U BASHIR H USA IN R EH M A NI, A ND YASIR SA LEEM." In Cognitive Networks, 121–58. CRC Press, 2014. http://dx.doi.org/10.1201/b17877-6.

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"NETWORK CODING: AN OPTIMIZED SOLUTION FOR COGNITIVE RADIO NETWORKS MUHAMMADZU BA IR FA ROOQI, SA LM AMA LIK TA BASSU M, M U BASHIR H USA IN R EH M A NI, A ND." In Cognitive Networks, 301–28. CRC Press, 2014. http://dx.doi.org/10.1201/b17877-13.

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"Dynamic TDm A- and m ACA-Based Protocols for Distributed Topology Underwater Acoustic Networks .......................................... Sh iRAZ Sh Ah ABUDEEN, m ANDAR Ch iTRE, AND m Eh Ul mo TANi." In Underwater Acoustic Sensor Networks, 213–40. Auerbach Publications, 2010. http://dx.doi.org/10.1201/9781420067125-16.

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"OPENFLOW/SDN FOR METRO/BACKBONE OPTICAL NETWORKS LEI LIU, HONGX I A NG GUO, AND TA K EH IRO T SU R I TA N I." In Network Innovation through OpenFlow and SDN, 325–406. CRC Press, 2014. http://dx.doi.org/10.1201/b16521-21.

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Ortloff, Charles R. "Ancient pre-Columbian Peru, Bolivia and Mesoamerica." In Water Engineering in the Ancient World. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780199239092.003.0004.

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Irrigation agriculture is a transformational technology used to secure high food yields from undeveloped lands. Specific to ancient South America, the Chimú Empire occupied the north coast of Peru from the Chillon to the Lambeyeque Valleys (Figure 1.1.1) from800 to 1450 CE (Late Intermediate Period (LIP)) and carried canal reclamation far beyond modern limits by applying hydraulics concepts unknown to Western science until the beginning of the 20th century. The narrative that follows examines hydraulic engineering and water management developments and strategies during the many centuries of agricultural development in the Chimú heartland of the Moche River Basin. The story examines how Chimú engineers and planners managed to greatly expand the agricultural output of valleys under their control by employing advanced canal irrigation technologies and the economic and political circumstances under which large-scale reclamation projects took place. The following time period conventions are used in the discussion that follow: Preceramic and Formative Period (3000–1800 BCE) Initial Period (IP) 1800–900 BCE Early Horizon (EH) 900–200 BCE Early Intermediate Period (EIP) 200 BCE–600 CE Middle Horizon (MH) 600–1000 CE Late Intermediate Period (LIP) 1000–1476 CE Late Horizon (LH) 1476–1534 CE. Chimú political power and state development was concentrated in Peruvian north coast valleys. Each valley contained an intermittent river supplied by seasonal rainfall runoff/glacial melt water from the adjacent eastern highlands. Over millennia, silts carried by the rivers from highland sources formed gently sloping alluvial valleys with fertile desert soils suitable for agriculture. An arid environment tied the Chimú economy to intravalley irrigation networks supplied from these rivers; these systems were supplemented by massive intervalley canals of great length that transported water between river valleys, thus opening vast stretches of intervalley lands to farming. The Chimú accomplishments and achievements in desert environment agricultural technologies brought canal-based water management and irrigation technology to its zenith among ancient South American civilizations, with practically all coastal cultivatable intervalley and intravalley lands reachable by canals brought under cultivation.

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Youn, Byeng Dong, Heonjun Yoon, Hongjin Kim, Byung Chang Jung, Chulmin Cho, and Yoon Young Kim. "Piezoelectric Energy Harvesting Skin and Its Application to Self-Powered Wireless Sensor Network." In Innovative Materials and Systems for Energy Harvesting Applications, 93–115. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8254-2.ch004.

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Energy harvesting (EH) which scavenges electric power from ambient, otherwise wasted, energy sources has been explored to develop self-powered portable electronic devices. Vibration energy, a widely available ambient energy source, can be converted into electric power using a piezoelectric energy harvester that generates electric potential in response to applied mechanical strains. As a compact and durable design paradigm, a piezoelectric energy harvesting skin (PEH skin) which can be directly attached onto the surface of a vibrating engineered system has been proposed to scavenge electric power from vibration energy. The goal of this chapter is to describe the core technologies for the realization of the PEH skin from a system integration perspective as four parts: (a) modeling, (b) design, (c) manufacturing, and (d) demonstration. The readers will be able to learn the entire procedure of developing the PEH skin and applying it to self-powered wireless sensor network (WSN) through this chapter.

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Тези доповідей конференцій з теми "EH Networks"

Cui, Xinyue, Dongchao Ma, and Li Ma. "An EH-WSN Clustering Algorithm Based on Energy Prediction." In 2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN). IEEE, 2019. http://dx.doi.org/10.1109/iccsn.2019.8905383.

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Samala, Srinivas, Subhashree Mishra, and Sudhansu Sekhar Singh. "Energy harvest cognitive radio networks (EH-CRNs): A review paper." In INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081814.

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Virili, M., A. Georgiadis, F. Mira, A. Collado, F. Alimenti, P. Mezzanotte, and L. Roselli. "EH performance of an hybrid energy harvester for autonomous nodes." In 2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2016. http://dx.doi.org/10.1109/wisnet.2016.7444325.

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Jiang, Ruihong, Ke Xiong, Pingyi Fan, Duohua Wang, and Zhangdui Zhong. "Information-Energy Region of Mobile SWIPT Networks with Nonlinear EH Model." In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761069.

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Basabaa, Abdulsalam, and Ehab S. Elmallah. "Upper Bounds on Path Exposure in EH-WSNs with Variable Transmission Ranges." In 2021 IEEE 46th Conference on Local Computer Networks (LCN). IEEE, 2021. http://dx.doi.org/10.1109/lcn52139.2021.9524991.

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Omarov, Orken, Galymzhan Nauryzbayev, Sultangali Arzykulov, Ahmed M. Eltawil, and Mohammad S. Hashmi. "Outage Analysis of EH-based Cooperative NOMA Networks over Generalized Statistical Models." In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 2021. http://dx.doi.org/10.1109/vtc2021-spring51267.2021.9448642.

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Khelifi, Manel, Ali Lahreche, Ismail Grine, and Ahmed Alioua. "EH-GPSR: An Energy Harvesting Protocol for IoT-based Wireless Sensor Networks." In 2021 12th International Conference on Information and Communication Systems (ICICS). IEEE, 2021. http://dx.doi.org/10.1109/icics52457.2021.9464593.

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Zhu, Yao, Xiaopeng Yuan, Bin Han, Yulin Hu, and Anke Schmeink. "Average Age-of-Information Minimization in EH-enabled Low-Latency IoT Networks." In ICC 2021 - IEEE International Conference on Communications. IEEE, 2021. http://dx.doi.org/10.1109/icc42927.2021.9500826.

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Zhang, Yang, Hong Gao, Hong Chen, Yaping Li, and David Tien. "EIF-Export: An energy-interference-free data export approach for EH-WSN Networks." In 2018 26th International Conference on Systems Engineering (ICSEng). IEEE, 2018. http://dx.doi.org/10.1109/icseng.2018.8638018.

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Qian, Li Ping, Anqi Feng, Xu Feng, and Yuan Wu. "Deep RL-Based Time Scheduling and Power Allocation in EH Relay Communication Networks." In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761525.

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Звіти організацій з теми "EH Networks"

Seneviratne, Kalinga. Exploring the role of Buddhist monks’ and nuns’ engagement in community development as catalysts for social change and sustainable development in Lao People’s Democratic Republic: A case study of the Buddhism for Development Project at Ban Bungsanthueng, Nongbok District, Khammouane Province, by Toung Eh Synuanchanh. Unitec ePress, November 2018. http://dx.doi.org/10.34074/thes.revw4499.

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Анотація:

The topic of this research report is an important one in the context of Asia’s rapid economic development in recent years, and the need to rethink development policy and especially methodologies of development communications, so the mistakes of the past will not be replicated. Thus, the study is an important initiative at this period of time. The research takes as a case study the Buddhism for Development Project (BDP) implemented at Ban Bungsanthueng village in the Khammouane Province by its Buddhist Volunteer Spirit for Community network (BVSC network). The fieldwork took place at the BDP’s training centre in Vientiane and the Buddhist initiatives at Ban Bungsanthueng. The research demonstrates how the BDP and its network apply participatory approaches through interpersonal communication, such as sermon delivery, Dhamma (Buddhist teachings) talk, and daily interaction with villagers and project members.

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