Wireless power transfer (Wireless lighting)

Hassan, Mohamed S.; Zawawi, Amr El

doi:10.1109/icta.2015.7426916

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Various efficient QoS routing protocols are designed to be adapted to real-time application needs. Grid-based Multipath with congestion avoidance routing protocol (GMCAR) represents one of the known routing protocols belonging to this category [20,21]. Predictive geographical routing (GPGR) is designed for inter-vehicle communications (IVC).…”

Section: Related Workmentioning

confidence: 99%

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Aznaoui¹,

Ullah²,

Raghay³

et al. 2021

IJEECS

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<span>A wireless sensor network (WSN) composed by a large number of sensor nodes that are insufficient in terms of processing power, storage and energy. The principal tasks of nodes is gathering and transmitting data collected to the base station (BS). Consequently the major essential criteria for designing a WSN are the network lifetime. In this paper an efficient GAF routing protocol for gathered data is introduced. It proposes an energy-efficient routing in WSN based on the basic version. In this system sensor nodes are distributed using Gaussian law and an active leader is elected for each virtual grid to reduce the energy dissipated using an optimized weighted sum model where maximum remaining energy and minimum distance criteria are considered. Moreover routing data is based on transmission range for enhancing the energy efficiency during data routing. The experimental results shows that the proposed EE-GAF produces better performance than the existing GAF basic and optimized-GAF routing protocol in terms of number of dead node and energy consumption. It is obviously proves that the proposed EE-GAF can improve the network lifetime</span>

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Section: Related Workmentioning

confidence: 99%

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Aznaoui¹,

Ullah²,

Raghay³

et al. 2021

IJEECS

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“…In contrast to battery substitution and wireless power transfer techniques, the innovation of the renewable wireless charging approach permits a charger to transfer power to the nodes remotely without strict management and environmental effects (air, dirt and chemicals) between them [27]. In the last decade, several researchers have conducted research pertaining to wireless charging frameworks, but herein, we have attempted to develop a technique which caters to the needs of WSNs i.e., a rechargeable wireless network which remains operational and minimizes energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks

et al. 2017

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Abstract:Wireless sensor networks (WSNs), built from many battery-operated sensor nodes are distributed in the environment for monitoring and data acquisition. Subsequent to the deployment of sensor nodes, the most challenging and daunting task is to enhance the energy resources for the lifetime performance of the entire WSN. In this study, we have attempted an approach based on the shortest path algorithm and grid clustering to save and renew power in a way that minimizes energy consumption and prolongs the overall network lifetime of WSNs. Initially, a wireless portable charging device (WPCD) is assumed which periodically travels on our proposed routing path among the nodes of the WSN to decrease their charge cycle time and recharge them with the help of wireless power transfer (WPT). Further, a scheduling scheme is proposed which creates clusters of WSNs. These clusters elect a cluster head among them based on the residual energy, buffer size, and distance of the head from each node of the cluster. The cluster head performs all data routing duties for all its member nodes to conserve the energy supposed to be consumed by member nodes. Furthermore, we compare our technique with the available literature by simulation, and the results showed a significant increase in the vacation time of the nodes of WSNs.

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“…The uses of a wireless charging system can remove expensive and intensive grid cables. Moreover, this technology can also provide additional protection against electrical shock hazards during the charging process [17]. However, the use of wireless charging G2V systems has a disadvantage due to the requirement to use high switching frequency operation to perform an efficient wireless power transfer function.…”

mentioning

confidence: 99%

Grid to vehicle wireless power supply using single-phase matrix converter

Akram

Baharom

2021

IJPEDS

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This paper presents the computer simulation model of a grid to vehicle (G2V) wireless power supply using a single-phase matrix converter (SPMC). The proposed system uses the SPMC that operates as a direct AC-AC converter to convert the supply frequency of 50 Hz to reach 20 kHz output frequency. The use of 20 kHz frequency is suitable for wireless power transfer (WPT) operation in order to obtain higher power transfer efficiency between the transmitter and the receiver parts. An advanced of the proposed circuit topology can solve the conventional system for G2V circuit topology that uses multiple stages of power conversion system, resulting in high power semiconductor losses that could lead to low efficiency. In this work, multiple stages of the conventional "AC-DC-AC" circuits have been reduced to a single power conversion stage by using the SPMC circuit topology. The use of the proposed circuit topology can reduce the number of devices, thus reduce the semiconductor losses. A part of reducing the semiconductor losses, the proposed circuit topology could also improve the power density and efficiency of the power supply system. A computer simulation model using MATLAB/Simulink has been developed to investigate the behavior of the proposed system. Selected simulation results are presented to verify the functionality of the proposed system.

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Wireless power transfer (Wireless lighting)

Cited by 4 publications

References 10 publications

New efficient GAF routing protocol using an optimized weighted sum model in WSN

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks

Grid to vehicle wireless power supply using single-phase matrix converter

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