Results 71 to 80 of about 333 (151)

Predicting Battery Levels of Sensor Nodes using Reinforcement Learning in Harsh Underground Mining Environments [PDF]

Underground mining is a hazardous environment, with frequent accidents leading to significant loss of life each year. To enhance safety, sensor nodes monitor key environmental factors such as temperature, toxic gases, and miners\u27 locations, as well as
Elmahallawy, Mohamed, Frimpong, Samuel, Madria, Sanjay, Yadav, Manish Anand   +3 more
core   +2 more sources

LEVERAGING PEER-TO-PEER ENERGY SHARING FOR RESOURCE OPTIMIZATION IN MOBILE SOCIAL NETWORKS [PDF]

, 2020
Mobile Opportunistic Networks (MSNs) enable the interaction of mobile users in the vicinity through various short-range wireless communication technologies (e.g., Bluetooth, WiFi) and let them discover and exchange information directly or in ad hoc ...
Dhungana, Aashish
core   +1 more source

Building a High Performance Perpetual Wireless Sensor Network by Wireless Charging [PDF]

, 2017
With an increasing demand of sensing applications, energy has been one of the top concerns in wireless sensor networks. Most of the previous works study energy conservation to extend network lifetime and a variety of schemes have been proposed that can ...
Wang, Cong
core   +1 more source

Optimizing Energy Consumption and Provisioning for Wireless Charging and Data Collection in Large-Scale WRSNs with Mobile Elements

, 2023
Wireless rechargeable sensor networks (WRSNs) have emerged with strong potential to address the bottlenecks of energy/lifetime of a wireless sensor network.
Ang, Li Minn, Ijemaru, Gerald K., Seng, Kah Phooi   +2 more
core   +1 more source

Time-constrained Mobile Charging Scheduling for Heterogeneous Sensing in Wireless Rechargeable Sensor Networks [PDF]

Jisuanji kexue
Wireless Sensor Networks(WSNs) are widely deployed in various applications,including military surveillance,disaster prediction,and hazardous environment exploration.However,the limited lifespan of wireless sensors necessitates frequent battery ...
LI Deqiang, REN Xinyi, XU Jia
doaj   +1 more source

Deep-Reinforcement-Learning-Based Joint Energy Replenishment and Data Collection Scheme for WRSN

Sensors
With the emergence of wireless rechargeable sensor networks (WRSNs), the possibility of wirelessly recharging nodes using mobile charging vehicles (MCVs) has become a reality. However, existing approaches overlook the effective integration of node energy
Jishan Li, Zhichao Deng, Yong Feng, Nianbo Liu   +3 more
doaj   +1 more source

Minimizing the Number of Mobile Chargers to Keep Large-Scale WRSNs Working Perpetually

International Journal of Distributed Sensor Networks, 2015
Wireless Rechargeable Sensor Networks, in which mobile chargers ( M C s) are employed to recharge the sensor nodes, have attracted wide attention in recent years.
Cheng Hu, Yun Wang
doaj   +1 more source

Joint Deployment of Sensors and Chargers in Wireless Rechargeable Sensor Networks

Energies
As a promising technology to achieve the permanent operation of battery-powered wireless sensor devices, wireless rechargeable sensor networks (WRSNs) by radio-frequency radiation have attracted considerable attention in recent years.
Jie Lian, Haiqing Yao
doaj   +1 more source

An Energy-Balanced Joint Routing and Charging Framework in Wireless Rechargeable Sensor Networks for Mobile Multimedia

IEEE Access, 2019
In wireless rechargeable sensor networks for mobile multimedia services, the multi-hop transmission method is often used to reduce the distance of a single hop to save energy.
Fang Liu, Hang Lu, Ting Wang, Yuanan Liu
doaj   +1 more source

Reports of the selectmen and other town officers of Newport for the year ending Feb. 15, 1903. [PDF]

, 1903
This is an annual report containing vital statistics for a town/city in the state of New ...
Newport Town Representatives
core   +1 more source