Qatar Green Schools Initiative: Energy Management System with Cost-Efficient and Lightweight Networked IoT

Hijawi, Ula; Gastli, Adel; Hamila, Ridha; Ellabban, Omar; Ünal, Devrim

doi:10.1109/iciot48696.2020.9089443

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…All IoT devices are based on the ESP32 MCU [28]. The design and implementation of the addressed IoT devices were introduced in an earlier work [33]. Each zone has a TTP device, called the sink, that aggregates all data collected from the IoT devices in different locations of the zone, and transmits them to the cloud server.…”

Section: A Zone-distributed Mesh Networkmentioning

confidence: 99%

Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices

et al. 2021

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Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly sensitive data, adapting scalable and flexible communication with efficient security is vital. Research investigated wireless Ad-hoc/mesh networking, while Attribute Based Encryption (ABE) schemes have been highly recommended for IoT. However, a combined implementation of both mesh networking and Key-Policy Attribute Based Encryption (KPABE) on resource-constrained devices has been rarely addressed. Hence, in this work, an integrated system that deploys a lightweight KPABE security built on wireless mesh networking is proposed. Implementation results show that the proposed system ensures flexibility and scalability of self-forming and cooperative mesh networking in addition to a fine-grained security access structure for IoT nodes. Moreover, the work introduces a case study of an enabled scenario at a school building for optimizing energy efficiency, in which the proposed integrated system architecture is deployed on IoT sensing and actuating devices. Therefore, the encryption attributes and access policy are well-defined, and can be adopted in relevant IoT applications.INDEX TERMS attribute based encryption, constrained-resources, cybersecurity, elliptic curves cryptography, internet of things, mesh networking This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: A Zone-distributed Mesh Networkmentioning

confidence: 99%

Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices

et al. 2021

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“…Hijawi, Gastli, Hamila, Ellabban and Unal [11] proposed a large scale IoT energy management system for a school building, with the use of smart WiFi outlets. The system considered each outlet as an individual IoT smart meter unit, with current sensor and relay modules.…”

Section: Related Workmentioning

confidence: 99%

Autonomic Management of Power Consumption with IoT and Fog Computing

Sampaio,

Koch,

Westphall

et al. 2021

Preprint

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We introduce a system for Autonomic Management of Power Consumption in setups that involve Internet of Things (IoT) and Fog Computing. The Central IoT (CIoT) is a Fog Computing based solution to provide advanced orchestration mechanisms to manage dynamic duty cycles for extra energy savings. The solution works by adjusting Home (H) and Away (A) cycles based on contextual information, like environmental conditions, user behavior, behavior variation, regulations on energy and network resources utilization, among others. Performance analysis through a proof of concept present average energy savings of 58.4%, reaching up to 61.51% when augmenting with a scheduling system and variable long sleep cycles (LS). However, there is no linear relation increasing LS time and more savings. The significance of this research is to promote autonomic management as a solution to develop more energy efficient buildings and smarter cities, towards sustainable goals.

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“…Mahmoud et al [23] suggested a real-time IoT-based EMS for green buildings to enhance energy monitoring and save more energy. Hijawi et al [24] suggested an EMS for school buildings using affordable Internet of Things (IoT) devices. Sharaf El-Din et al [25] investigated how the use of renewable energy relates to the adoption of sustainable building design, especially in the context of EMS and environmentally friendly green building design.…”

Section: Introductionmentioning

confidence: 99%

Recent Research Progress on Sustainable Energy Management System Based on Energy Efficiency and Renewable Energy

Yandri,

Pramono,

Sihombing

et al. 2024

BIO Web Conf.

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Energy Management Systems (EMS) have become increasingly important in efforts to address global energy challenges, such as increasing energy demand and climate change. EMS can be used to improve energy efficiency; reduce greenhouse gas emissions; and increase energy security. The purpose of the research is to review the latest research progress which focuses on EMS from various sectors based on energy efficiency and renewable energy. This research method involves four steps: selecting the EMS topic, searching for related papers using keywords on Google Scholar; summarizing and categorizing the obtained papers, and creating a table for easy understanding of the collected research; followed by analysis and discussion. As a result, recent research progress on sustainable EMS has been discussed, emphasizing categories like IoT; cloud data; controllers; reinforcement learning; renewable energy sources; energy storage; energy trading; and dashboards. The focus in EMS studies lies on IoT devices; controllers; reinforcement learning; and renewable energy; with less emphasis on energy trading and dashboards. The primary objective is to facilitate energy use tracking for users in various sectors, enabling them to assess efficiency and cost-effectiveness. This review facilitates energy tracking across diverse sectors for users, enabling evaluation of efficiency and cost-effectiveness.

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Qatar Green Schools Initiative: Energy Management System with Cost-Efficient and Lightweight Networked IoT

Cited by 8 publications

References 13 publications

Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices

Lightweight KPABE Architecture Enabled in Mesh Networked Resource-Constrained IoT Devices

Autonomic Management of Power Consumption with IoT and Fog Computing

Recent Research Progress on Sustainable Energy Management System Based on Energy Efficiency and Renewable Energy

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