eIFVT: Exploiting an Integrated FAHP-VWA-TOPSIS in Whole-Process of On-Demand Charging Scheduling for WRSNs-Reference-Cited by-同舟云学术

eIFVT: Exploiting an Integrated FAHP-VWA-TOPSIS in Whole-Process of On-Demand Charging Scheduling for WRSNs

Published:2023-12 Issue:4 Volume:17 Page:6634-6644
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Ri Mangun¹^ORCID,Ko Jonghun¹^ORCID,Pak Sehun¹^ORCID,Song Yongdok²^ORCID,Kim Chunhyok³^ORCID

Affiliation:

1. Communications faculty, Kim Chaek University of Technology, Pyongyang, North Korea

2. Faculty of Distance Education, Kim Chaek University of Technology, Pyongyang, North Korea

3. Reeducation Faculty, Huichen University of Technology, Huichen, North Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10354254/10285329.pdf?arnumber=10285329

Reference38 articles.

1. Wireless Power Transfer via Strongly Coupled Magnetic Resonances

2. A Distance-Based Scheduling Algorithm With a Proactive Bottleneck Removal Mechanism for Wireless Rechargeable Sensor Networks

3. RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks

4. Adaptive online mobile charging for node failure avoidance in wireless rechargeable sensor networks

5. TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks

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