Results 81 to 90 of about 333 (151)

A Joint Approach for Energy Replenishment and Data Collection with Two Distinct Types of Mobile Chargers in WRSN

Sensors
Wireless rechargeable sensor networks (WRSNs) address the energy scarcity problem in wireless sensor networks by introducing mobile chargers (MCs) to recharge energy-hungry sensor nodes. Scheduling MCs to charge the recharge nodes is the primary focus of
Yuxiang Li, Tianyi Shao, Weixin Gao, Feng Lin   +3 more
doaj   +1 more source

Study on charging strategy of wireless rechargeable sensor networks based on dynamic inhomogeneous clustering

Scientific Reports
In wireless rechargeable sensor networks (WRSNs), high node mortality rate severely constrains the network performance. To address this problem, this paper proposes an innovative charging strategy based on dynamic inhomogeneous clustering (DICCS).
Peng Tian, Jia Yang, Hongyu Pu, Xin Tian, Jiale Tang, Guozheng Ran, Liang Peng   +6 more
doaj   +1 more source

Capacity Enhancement Approaches for Long Term Evolution networks: Capacity Enhancement-Inspired Self-Organized Networking to Enhance Capacity and Fairness of Traffic in Long Term Evolution Networks by Utilising Dynamic Mobile Base-Stations [PDF]

, 2018
The long-term evolution (LTE) network has been proposed to provide better network capacity than the earlier 3G network. Driven by the market, the conventional LTE (3G) network standard could not achieve the expectations of the international mobile ...
Alrowili, Mohammed F.H.
core  

A High-Efficiency Data Collection Method Based on Maximum Recharging Benefit in Sensor Networks

Sensors, 2018
To reduce time delays during data collection and prolong the network lifetime in Wireless Rechargeable Sensor Networks (WRSNs), a type of high-efficiency data collection method based on Maximum Recharging Benefit (DCMRB) is proposed in this paper ...
Chao Sha, Qi-Wei Wang, Lu Zhang, Ru-Chuan Wang   +3 more
doaj   +1 more source

Photometry of elliptical galaxies in crowded starfields [PDF]

, 2006
Includes bibliographical ...
Markus, Karsten
core  

Hybrid wireless power transfer system for sensor applications in harsh environments [PDF]

Wireless Power Transfer (WPT) is a promising solution to eliminate the dependence of low-power devices on batteries and cables. WPT technologies, including electric field coupling (EC-WPT), magnetic field coupling (MC-WPT), radio frequency (RF-WPT ...
Ma, Yufei
core   +1 more source

Obstacle-Aware Charging Pad Deployment in Large-Scale WRSNs: An Outside-to-Inside Onion-Peeling-like Strategy

Information
This paper addresses the critical challenge of deploying a minimum number of wireless charging pads (WCPs) in obstacle-rich, large-scale Wireless Rechargeable Sensor Networks (WRSNs) to sustain drone operations.
Rei-Heng Cheng, Yuan-Yu Hsu, Chang Wu Yu
doaj   +1 more source

Multi-MC Charging Schedule Algorithm With Time Windows in Wireless Rechargeable Sensor Networks

IEEE Access, 2019
The limited lifespan of the traditional Wireless Sensor Networks (WSNs) has always restricted the broad application and development of WSNs. The current studies have shown that the wireless power transmission technology can effectively prolong the ...
Zhenchun Wei, Meng Li, Qing Zhao, Zengwei Lyu, Siwei Zhu, Zhen Wei   +5 more
doaj   +1 more source

Mobile Data Gathering and Energy Replenishment inWireless Sensor Networks: Theoretical and Experimental Approaches [PDF]

, 2017
Energy constraint is one of the major constraints in the design and deployment of conventional wireless sensor networks. In such networks, usually powered by batteries with limited capacity, one or few number of static data sinks are deployed to collect ...
Li, Ji
core   +1 more source

Minimizing Sensor Failures in Wireless Rechargeable Sensor Networks With Obstacles Through Fresnel Diffraction Model

IEEE Journal of the Electron Devices Society
In this paper, we mainly focus on the charging scheduling problem in Wireless Rechargeable Sensor Networks (WRSNs) with obstacles. We first describe the influences of obstacles on the charging signals through the Fresnel Diffraction Model (FDM).
Kun Wang, Zhejun Shen
doaj   +1 more source