A novel efficient on demand charging schedule for rechargeable wireless sensor networks-Reference-Cited by-同舟云学术

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A novel efficient on demand charging schedule for rechargeable wireless sensor networks

Published:2023-03-07 Issue:8 Volume:105 Page:1697-1715
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Dudyala Anil Kumar,Dash Dinesh^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-023-01170-0.pdf

Reference20 articles.

1. Han G, Guan H, Wu J et al (2019) An uneven cluster-based mobile charging algorithm for wireless rechargeable sensor networks. IEEE Syst J 13(4):3747–3758

2. Huong TT, Nguyen PL, Binh HTT et al (2020) Genetic algorithm-based periodic charging scheme for energy depletion avoidance in wrsns. In: IEEE wireless communications and networking conference (WCNC), Seoul, Korea(S), pp 1–6

3. Kaswan A, Tomar A, Jana PK (2018) An efficient scheduling scheme for mobile charger in on-demand wireless rechargeable sensor networks. J Netw Comput Appl 114:123–134

4. Khelladi L, Djenouri D, Rossi M et al (2017) Efficient on-demand multi-node charging techniques for wireless sensor networks. Comput Commun 101:44–56

5. Kumar N, Dash D, Kumar M (2021) An efficient on-demand charging schedule method in rechargeable sensor networks. J Ambient Intell Humaniz Comput 12:8041–8058

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Bi-directional Wireless Power Transfer Design for Smart Homes;International Journal of Information Technology;2024-06-07

2. An Integrated Mobility-Oriented Wireless Charging Scheme for Wireless Sensor Network;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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