Results 91 to 100 of about 333 (151)

ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles

open access: yes
As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wireless ...
Ahmed, Adeel   +4 more
core  

Probabilistic On-Demand Charging Scheduling for ISAC-Assisted WRSNs with Multiple Mobile Charging Vehicles

open access: yes
The internet of things (IoT) based wireless sensor networks (WSNs) face an energy shortage challenge that could be overcome by the novel wireless power transfer (WPT) technology.
Ahmed, Adeel   +5 more
core  

Energy-Aware Path Planning by Autonomous Underwater Vehicle in Underwater Wireless Sensor Networks for Safer Maritime Transportation. [PDF]

open access: yes
Throughout history, maritime transportation has been preferred for international and intercontinental trade thanks to its lower cost than other transportation ways, which have a risk of ship accidents.
Acarer, Tayfun
core   +1 more source

Dynamic On-Demand Collaborative Charging Scheduling Based on Game Theory

open access: yesIEEE Journal of the Electron Devices Society
On-demand charging scheduling is an important kind of online charging scheduling method in Wireless Rechargeable Sensor Networks (WRSNs). Its dynamism and energy adaptability enables Mobile Chargers (MCs) to adjust charging paths in real-time based on ...
Kun Wang
doaj   +1 more source

Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs

open access: yesIEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Wireless rechargeable sensor networks (WRSNs), supported by recent advancements in wireless power transfer (WPT) technology, hold significant potential for extending network lifetime. However, traditional approaches often prioritize scheduling algorithms and network optimization, overlooking the security risks associated with the charging process ...
Muhammad Umar Farooq Qaisar   +5 more
openaire   +2 more sources

Charging Scheduling Method for Wireless Rechargeable Sensor Networks Based on Energy Consumption Rate Prediction for Nodes

open access: yesSensors
With the development of the IoT, Wireless Rechargeable Sensor Networks (WRSNs) derive more and more application scenarios with diverse performance requirements.
Songjiang Huang   +4 more
doaj   +1 more source

Elastic Time Step Reinforcement Learning [PDF]

open access: yes
RÉSUMÉ: Les avancées en intelligence artificielle et en technologie de la robotique ont accéléré l’intégration de l’apprentissage par renforcement (RL) en robotique, permettant aux systèmes d’accomplir des tâches complexes dans des environnements ...
Wang, Dong
core  

Near-Optimal Scheduling of Multiple Mobile Chargers under Sensing Heterogeneity in WRSNs

open access: yes物联网学报
The existing research has primarily focused on charging capability constraint for a single mobile charger, while neglecting practical emergency scenarios where multiple mobile chargers may be deployed simultaneously. Moreover, variations in environmental
LI Deqiang   +3 more
doaj  

Multi-UAV-Assisted Green Energy Far-Field Wireless Charging for Large-Scale WRSNs

open access: yes
With the rapid development of Internet of Things (IoT), wireless rechargeable sensor networks (WRSNs) have found widespread applications in modern society. However, due to the dynamic energy consumption of sensor nodes (SNs) and the challenges associated
Ansari, Nirwan   +2 more
core   +1 more source

Synthetic on-demand charging optimization with ADCMA for energy conservation in WRSN

open access: yes
Abstract Recently, the research community has shown a growing interest in using mobile chargers to recharge the energy supply of sensor nodes in wireless rechargeable sensor network (WRSN). Mobile energy chargers offer a more dependable energy source compared to devices that harvest dynamic energy from the surrounding environment. This research
Sandrine Mukase   +2 more
openaire   +1 more source

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