Charging scheme for wireless sensor network based on area scanning and energy detection

Research Article
Open access

Charging scheme for wireless sensor network based on area scanning and energy detection

Xiaojie Ye 1* , Kaming Zau 2
  • 1 Electronic and Computer Engineering department, Hong Kong University of Science and Technology, Hong Kong, zip code 999077, China    
  • 2 computer engineering program, Hong Kong University of Science and Technology, Hong Kong, zip code 999077, China    
  • *corresponding author xyeai0905@gmail.com
ACE Vol.5
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-57-7
ISBN (Online): 978-1-915371-58-4

Abstract

With the development of wireless sensor networks, the demand for wireless sensors increased sharply. At the same time, there is a problem that the storage of energy is relatively low due to the small size of wireless sensors, which means that it needs to replace when sensors are out of charge. It will cost huge finance and pollute the environment. Consequently, many scholars propose using wireless sensors that can recharge instead of primary wireless ones. In this case, choosing a suitable route to charge wireless sensors has become a significantly critical problem as there is a relationship between energy loss and the charging path. Since it is unstable or unsuitable to use solar energy and wind energy to charge, charging wireless sensors using drones, proposed by Kulaea T. Pauu1, Han Xu, and Bang Wang [1], has become a feasible solution. However, this solution still has some drawbacks as it only uses energy to charge the point with the lowest energy level by drones without considering the priority, the rest of the power, and the efficiency of time and energy. This report will use the data about the utilization rate of energy and make some comparisons to improve this solution.

Keywords:

Wireless Communication Networks, Drones, Priority Based On Energy, Optimized Path, Energy Transfer

Ye,X.;Zau,K. (2023). Charging scheme for wireless sensor network based on area scanning and energy detection. Applied and Computational Engineering,5,724-730.
Export citation

References

[1]. Pauu, K. T., Xu, H., & Wang, B. (2020, November). A Novel UAV Charging Scheme for Minimizing Coverage Breach in Rechargeable Sensor Networks. In International Conference on Green, Pervasive, and Cloud Computing (pp. 347-361). Springer, Cham.

[2]. T. M. Bandara, W. Mudiyanselage and M. Raza, "Smart farm and monitoring system for measuring the Environmental condition using wireless sensor network - IOT Technology in farming," 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), 2020, pp. 1-7, doi: 10.1109/CITISIA50690.2020.9371830.

[3]. Xu, G., Shen, W., & Wang, X. (2014, September 11). Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey. Sensors, 14(9), 16932–16954. https://doi.org/10.3390/s140916932

[4]. Z. Zhu, L. Li, W. Wu and Y. Jiao, "Application of improved Dijkstra algorithm in intelligent ship path planning," 2021 33rd Chinese Control and Decision Conference (CCDC), 2021, pp. 4926-4931, doi: 10.1109/CCDC52312.2021.9602021.

[5]. Z. Wang, H. Duan and X. Zhang, "An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem," 2009 Fifth International Conference on Natural Computation, 2009, pp. 374-378, doi: 10.1109/ICNC.2009.504.

Cite this article

Ye,X.;Zau,K. (2023). Charging scheme for wireless sensor network based on area scanning and energy detection. Applied and Computational Engineering,5,724-730.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

ISBN：978-1-915371-57-7(Print) / 978-1-915371-58-4(Online)
Editor：Omer Burak Istanbullu
Conference website: http://www.confspml.org
Conference date: 25 February 2023
Series: Applied and Computational Engineering
Volume number: Vol.5
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Pauu, K. T., Xu, H., & Wang, B. (2020, November). A Novel UAV Charging Scheme for Minimizing Coverage Breach in Rechargeable Sensor Networks. In International Conference on Green, Pervasive, and Cloud Computing (pp. 347-361). Springer, Cham.

[2]. T. M. Bandara, W. Mudiyanselage and M. Raza, "Smart farm and monitoring system for measuring the Environmental condition using wireless sensor network - IOT Technology in farming," 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), 2020, pp. 1-7, doi: 10.1109/CITISIA50690.2020.9371830.

[3]. Xu, G., Shen, W., & Wang, X. (2014, September 11). Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey. Sensors, 14(9), 16932–16954. https://doi.org/10.3390/s140916932

[4]. Z. Zhu, L. Li, W. Wu and Y. Jiao, "Application of improved Dijkstra algorithm in intelligent ship path planning," 2021 33rd Chinese Control and Decision Conference (CCDC), 2021, pp. 4926-4931, doi: 10.1109/CCDC52312.2021.9602021.

[5]. Z. Wang, H. Duan and X. Zhang, "An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem," 2009 Fifth International Conference on Natural Computation, 2009, pp. 374-378, doi: 10.1109/ICNC.2009.504.

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.