Results 51 to 60 of about 333 (151)

Joint Mobile Data Collection and Wireless Energy Transfer in Wireless Rechargeable Sensor Networks

open access: yesSensors, 2017
In wireless rechargeable sensor networks (WRSNs), there is a way to use mobile vehicles to charge node and collect data. It is a rational pattern to use two types of vehicles, one is for energy charging, and the other is for data collecting.
Ping Zhong   +5 more
doaj   +1 more source

Mobile Charging Sequence Scheduling for Optimal Sensing Coverage in Wireless Rechargeable Sensor Networks

open access: yesApplied Sciences, 2023
In wireless rechargeable sensor networks (WRSNs), a novel approach to energy replenishment is offered by the utilization of mobile chargers (MCs), which charge nodes via wireless energy transfer technology.
Jinglin Li   +4 more
doaj   +1 more source

Energy-Saving Traffic Scheduling in Hybrid Software Defined Wireless Rechargeable Sensor Networks

open access: yesSensors, 2017
Software Defined Wireless Rechargeable Sensor Networks (SDWRSNs) are an inexorable trend for Wireless Sensor Networks (WSNs), including Wireless Rechargeable Sensor Network (WRSNs).
Yunkai Wei   +3 more
doaj   +1 more source

Charging Between PADs: Periodic Charging Scheduling in the UAV‐Based WRSN With PADs

open access: yesInternational Journal of Distributed Sensor Networks, Volume 2024, Issue 1, 2024.
Wireless rechargeable sensor network (WRSN) has become the most effective solution to the energy problem in wireless sensor networks (WSNs) by introducing mobile chargers (MCs) to replenish energy for energy‐starved sensor nodes. In the studies of WRSN, there has been growing interest in using lightweight unmanned aerial vehicles (UAVs) as MCs to ...
Zirui Zhao   +4 more
wiley   +1 more source

Demand‐based charging strategy for wireless rechargeable sensor networks

open access: yesETRI Journal, 2019
A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a widespread research problem. In this paper, we propose a demand‐based charging strategy (DBCS) for WRSNs.
Ying Dong   +4 more
doaj   +1 more source

Multiple Mobile Charger Charging Strategy Based on Dual Partitioning Model for Wireless Rechargeable Sensor Networks

open access: yesIEEE Access, 2022
This paper proposes an online MMCCS (Multi-MC Cooperative Charging Strategy) for multiple Mobile Chargers (MC), affording static partition and dynamic collaboration.
Yang Jia   +3 more
doaj   +1 more source

Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges [PDF]

open access: yes
Recently, a plethora of promising green energy provisioning technologies has been discussed in the orientation of prolonging the lifetime of energy-limited devices (e.g., sensor nodes).
Abdel Aziz, Samah   +8 more
core   +2 more sources

Model-Based Reinforcement Learning for Containing Malware Propagation in Wireless Radar Sensor Networks

open access: yesActuators
To address malware containment challenges in WRSNs—where traditional integer-order models neglect propagation memory effects and standard reinforcement learning (RL) suffers from slow trial-and-error limitations—we propose the following: (1) a fractional-
Haitao Lin   +5 more
doaj   +1 more source

MMCS: Multi-Module Charging Strategy for Increasing the Lifetime of Wireless Rechargeable Sensor Networks

open access: yesEnergies, 2016
In recent years, wireless charging technology has provided an alternative to charging equipment. Wireless charging technology has already proved to be useful in our daily lives in phones, buses, restaurants, etc.
Hong-Yi Chang   +3 more
doaj   +1 more source

CRCM: A New Combined Data Gathering and Energy Charging Model for WRSN [PDF]

open access: yesSymmetry, 2018
With the development of wireless sensor networks (WSNs), the problem about how to increase the lifecycle of the WSNs is always a hot discussion point, and some researchers have devoted to the ‘energy saving’ to decrease the energy consumption of the sensor nodes by different algorithms.
Yuhou Wang   +4 more
openaire   +1 more source

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