Integrating self-powered disaster recovery networks with environmental monitoring for enhanced disaster preparedness and response

  • Qutaiba I. Ali Computer Engineering Department, University of Mosul, Mosul 00964, Iraq
  • Nawar A. Ibrahim Computer Techniques Engineering Department, Northern Technical University, Mosul 00964, Iraq
Ariticle ID: 351
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Keywords: environmental monitoring services; DRN infrastructure; network reliability; wireless solar router; solar energy harvesting; power management; fault tolerance techniques

Abstract

This paper investigates a comprehensive approach to enhancing environmental monitoring services within a self-powered Disaster Recovery Network (DRN) infrastructure. The study introduces a variety of solutions aimed at overcoming logistical challenges associated with establishing an environmentally conscious DRN infrastructure. Moreover, the research explores the intrinsic factors governing the system’s behavior, defines essential evaluation metrics, and delineates performance measurements. The Wireless Solar Router (WSR) is specifically introduced using the Ubicom IP 2022 platform to realize the Ad hoc wirelessly networked nodes of the DRN infrastructure. To advance the field further, the paper proposes an experimental platform for comprehensive evaluation, assessing network performance, practicality, power efficiency, and resilience to various scenarios. A comprehensive design process is illustrated, and the required values of the system elements, i.e., the number of solar cell panels, the capacity of the battery cells, etc., are adjusted to fulfill the design purposes. In order to reduce the power utilization of the recommended WSR and to lengthen the duration of their batteries, a new distributed power management scheme called Duty Cycle Estimation-Event Driven Duty Cycling (DCE-EDDC) was suggested and installed locally in the WSRs in order to decrease their power consumption and extend the lifetime of their batteries. The suggested method is compared with other duty cycling methods, and the proposed DRN system is also compared with other real-world implementations to show its usefulness in building a green DRN infrastructure.

References

[1] Qian G, Wei F. Summary of global earthquake disasters in 2020. Earthquake Research Advances. 2021, 51: 289-296.

[2] Zeng Y, Zhang R, Lim TJ. Throughput Maximization for UAV-Enabled Mobile Relaying Systems. IEEE Transactions on Communications. 2016, 64(12): 4983-4996. doi: 10.1109/tcomm.2016.2611512

[3] Heleno S, Fernandes CA, Felício JM, et al. Development of TETRA Radio Backhaul Network Redundancy Plan for Disaster Recovery in Mission Critical Communications. In: Proceedings of the 2023 17th European Conference on Antennas and Propagation (EuCAP); 26-31 March 2023; Firenze, Italy. doi: 10.23919/eucap57121.2023.10133791

[4] Macrì D, Gentile AF. Avoiding Information Disorder in Disaster Recovery Through Internet of Things. In: Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). 26-29 October 2023; Venice, Italy. doi: 10.1109/wi-iat59888.2023.00077

[5] Wu Q, Zeng Y, Zhang R. Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks. IEEE Transactions on Wireless Communications. 2018, 17(3): 2109-2121. doi: 10.1109/twc.2017.2789293

[6] Yang D, Wu Q, Zeng Y, et al. Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design. IEEE Transactions on Vehicular Technology. 2018, 67(7): 6721-6726. doi: 10.1109/tvt.2018.2816244

[7] Chakraborty S, Park J, Saraswat G, et al. Emergency Power Supply System for Critical Infrastructures: Design and Large Scale Hardware Demonstration. IEEE Access. 2023, 11: 114509-114526. doi: 10.1109/access.2023.3325198

[8] Xu J, Zeng Y, Zhang R. UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization. IEEE Transactions on Wireless Communications. 2018, 17(8): 5092-5106. doi: 10.1109/twc.2018.2838134

[9] Quy VK, Ban NT, Van Anh D, et al. An Adaptive Gateway Selection Mechanism for MANET-IoT Applications in 5G Networks. IEEE Sensors Journal. 2023, 23(19): 23704-23712. doi: 10.1109/jsen.2023.3307617

[10] Ijaz H, Ahmad R, Ahmed R, et al. A UAV-Assisted Edge Framework for Real-Time Disaster Management. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-13. doi: 10.1109/tgrs.2023.3306151

[11] Wei J, Gao X, Cheng P, et al. Coordinated Post-Disaster Recovery and Assessment Method for Integrated Electricity-Gas-Transportation System. IEEE Access. 2023, 11: 11685-11699. doi: 10.1109/access.2023.3242130

[12] Christy E, Astuti RP, Syihabuddin B, et al. Optimum UAV flying path for Device-to-Device communications in disaster area. In: Proceedings of the 2017 International Conference on Signals and Systems (ICSigSys); 16-18 May 2017; Bali, Indonesia.

[13] Tran Minh Q, Nguyen K, Borcea C, Yamada S. On-the-Fly Establishment of Multihop Wireless Access Networks for Disaster Recovery. IEEE Communications Magazine. 2014, 52(10): 60-66. doi: 10.1109/MCOM.2014.6917403

[14] Sun X, Chen J, Zhao H, et al. Sequential Disaster Recovery Strategy for Resilient Distribution Network Based on Cyber–Physical Collaborative Optimization. IEEE Transactions on Smart Grid. 2023, 14(2): 1173-1187. doi: 10.1109/tsg.2022.3198696

[15] Ali IQ. Security Issues of Solar Energy Harvesting Road Side Unit (RSU). Iraqi Journal for Electrical and Electronic Engineering. 2015, 11(1): 18-31. doi: 10.33762/eeej.2015.102711

[16] Ali IQ. Enhanced power management scheme for embedded road side units. IET Computers & Digital Techniques. Available online: www.ietdl.org (accessed on 12 November 2023).

[17] Ali IQ. Solar Powered SCADA Infrastructure Serving Different Smart Grid Applications. JJEE Journal. 2016, 2(1).

[18] Qaddoori S, Ali Q. An Efficient Security Model for Industrial Internet of Things (IIoT) System Based on Machine Learning Principles. Al-Rafidain Engineering Journal (AREJ). 2023, 28(1): 329-340. doi: 10.33899/rengj.2022.134932.1191

[19] Alsharbaty F, Ali Q. An Enhanced Industrial Wireless Communication Network for Hard Real Time Performance Substation Automation Purposes. Al-Rafidain Engineering Journal (AREJ). 2022, 27(2): 216-226. doi: 10.33899/rengj.2022.133860.1173

[20] Yasser S, M. Abdul-Jabbar DrJ, Ali Q. Design and Performance Evaluation of Lattice Daubechies Wavelet Filter Banks for Less Complex Cognitive Transceivers. Al-Rafidain Engineering Journal (AREJ). 2020, 25(1): 61-69. doi: 10.33899/rengj.2020.126799.1021

Published
2023-12-23
How to Cite
I. Ali, Q., & A. Ibrahim, N. (2023). Integrating self-powered disaster recovery networks with environmental monitoring for enhanced disaster preparedness and response. Energy Storage and Conversion, 1(1), 351. https://doi.org/10.59400/esc.v1i1.351
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Article