MQTT-based Solution for Household Energy Management

Session

Information Systems and Security

Description

This paper presents a novel IoT-based solution IoT communication, software, and hardware technologies to enable real-time monitoring and management of household energy efficiency. The system enables stakeholders to remotely control and monitor the energy consumption evaluating also the effect of various environmental factors such as temperature and time of day. The system was implemented and evaluated using MQTT protocol. The paper intended to compare computational and network resources and determine whether is suitable for energy efficiency monitoring. The conclusion of this research was that the proposed architecture is best deployed using low-cost constrained edge devices where a combination of efficient MQTT communication and low resources consumption makes the system cost-effective and scalable.

Keywords:

Big data analytics, Energy management, IoT hub, Internet of Things

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-47-5

First Page

1

Location

UBT Kampus,Lipjan

Start Date

30-10-2021 12:00 AM

End Date

30-10-2021 12:00 AM

DOI

10.33107/ubt-ic.2021.101

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Oct 30th, 12:00 AM Oct 30th, 12:00 AM

MQTT-based Solution for Household Energy Management

UBT Kampus,Lipjan

This paper presents a novel IoT-based solution IoT communication, software, and hardware technologies to enable real-time monitoring and management of household energy efficiency. The system enables stakeholders to remotely control and monitor the energy consumption evaluating also the effect of various environmental factors such as temperature and time of day. The system was implemented and evaluated using MQTT protocol. The paper intended to compare computational and network resources and determine whether is suitable for energy efficiency monitoring. The conclusion of this research was that the proposed architecture is best deployed using low-cost constrained edge devices where a combination of efficient MQTT communication and low resources consumption makes the system cost-effective and scalable.