Qutaiba Ibrahim
- Professor Department of Computer Engineering, University of Mosul Mosul Iraq
Abstract
Traditional wired sensor networks for building environmental monitoring often face challenges related to scalability, cost, and resilience. This paper introduces a novel concept called the Green Environmental Monitoring Network (green EMN), tailored specifically for campus environments. The objective of this study is to propose a self-powered wireless network solution that utilizes strategically deployed wireless sensor nodes within buildings for environmental data collection while integrating advanced security measures and sustainable power management strategies. The green EMN utilizes wireless sensor nodes deployed within buildings, transmitting data to gateway nodes equipped with the Embedded Cooperative Hybrid Intrusion Detection System (ECHIDS) for enhanced security. Sustainable power management techniques such as energy-efficient nodes, energy harvesting, and duty cycling are incorporated to ensure long-term operation. The proposed green EMN offers significant advantages over traditional wired networks, including scalability, cost-effectiveness, resilience, and seamless integration with existing campus infrastructure. The innovative ECHIDS security system provides comprehensive threat protection against cyberattacks. By promoting a secure and sustainable monitoring environment, the green EMN can greatly enhance environmental monitoring capabilities in campus buildings, fostering a healthier and more sustainable learning environment for students and faculty.
Keywords: Environmental monitoring, wireless sensor networks, campus buildings, self-powered network, energy harvesting, duty cycling, sustainable infrastructure, data analytics, real-time monitoring, intrusion detection system, network security
[This article belongs to Journal of Artificial Intelligence Research & Advances(joaira)]
References
- Ministry of Energy. National Energy Efficiency Plan 2022-2026. Available from: https://energia.cl/ley-y-plan-de-eficiencia-energetica (accessed on 10 June 2022).
- Tushar W, Wijerathne N, Li W-T, Yuen C, Poor HV, Saha TK, Wood KL. IoT for green building management. arXiv. 2018. arXiv:1805.10635.
- Nugur A, Pipattanasomporn M, Kuzlu M, Rahman Design and development of an IoT gateway for smart building applications. IEEE IoT J. 2019;6:9020–9029. DOI: 10.1109/JIOT.2019.2926099.
- Alsuhli G, Khattab A fog-based IoT platform for smart buildings. In: Proceedings of the 2019 International Conference on Innovative Trends in Computer Engineering (ITCE); 2–4 February 2019; Aswan, Egypt. pp. 174–179. DOI: 10.1109/ITCE.2019.8646480.
- Eltamaly AM, Alotaibi MA, Alolah AI, Ahmed MA. IoT-based hybrid renewable energy system for smart campus. Sustainability. 2021;13: DOI: 10.3390/su13158555.
- Jia M, Komeily A, Wang Y, Srinivasan RS. Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Autom 2019;101:111–126. DOI: 10.1016/j.autcon.2019.01.023.
- Vijayan DS, Rose AL, Arvindan S, Revathy J, Amuthadevi Automation systems in smart buildings: A review. J Ambient Intell Humaniz Comput. 2020:1–13. DOI: 10.1007/s12652-020-02666-9.
- Zhang X, Pipattanasomporn M, Chen T, Rahman An IoT-based thermal model learning framework for smart buildings. IEEE IoT J. 2020;7:518–527. DOI: 10.1109/JIOT.2019.2951106.
- Singh S, Roy A, Selvan MP. Smart load node for nonsmart load under smart grid paradigm: A New Home energy management system. IEEE Consumer Electronics Magazine. 2019;8:22–27. DOI: 10.1109/MCE.2018.2880804.
- Saleem Y, Crespi N, Rehmani MH, Copeland Internet of things-aided smart grid: Technologies, architectures, applications, prototypes, and future research directions. IEEE Access. 2019;7:62962–63003. DOI: 10.1109/ACCESS.2019.2913984.
- Abir SMAA, Anwar A, Choi J, Kayes ASM. IoT-enabled smart energy grid: Applications and c IEEE Access. 2021;9:50961–50981. DOI: 10.1109/ACCESS.2021.3067331.
- Shakerighadi B, Anvari-Moghaddam A, Vasquez J, Guerrero Internet of things for modern energy systems: State-of-the-art, challenges, and open issues. Energies. 2018;11:1252. DOI: 10.3390/en11051252.
- Wu Y, Wu Y, Guerrero J, Vasquez J, Palacios-García E, Guan IoT-enabled microgrid for intelligent energy-aware buildings: A novel hierarchical self-consumption scheme with renewables. Electronics. 2020;9:550. DOI: 10.3390/electronics9040550.
- Choi A hierarchical distributed energy management agent framework for smart homes, grids, and cities. IEEE Commun Mag. 2019;57:113–119. DOI: 10.1109/MCOM.2019.1900073.
- Ali Solar powered SCADA infrastructure serving different smart grid applications. Jordan J Elect Eng. 2016;2(1):61-79.
- Ali QI. Realization of a robust fog-based green VANET IEEE Syst J. 2022;17:2465–2476. DOI: 10.1109/JSYST.2022.3215845.
- Qaddoori S, Ali An efficient security model for Industrial Internet of Things (IIoT) system based on machine learning principles. Al-Rafidain Eng J. 2023;28:329–340. DOI: 10.33899/rengj.2022.134932.1191.
- Ibrahim Ali, Q. Enhancing and securing telemedicine services in disaster recovery operations with sustainable communication infrastructure and blockchain technology. Int Transact Electr Eng Comput Sci. 2023;2:139–154. DOI: 10.62760/iteecs.2.4.2023.61.
Journal of Artificial Intelligence Research & Advances
| Volume | 11 |
| Issue | 01 |
| Received | March 13, 2024 |
| Accepted | March 14, 2024 |
| Published | April 5, 2024 |