Intelligent Optimization Mechanism Based on an Objective Function for Efficient Home Appliances Control in an Embedded Edge Platform
Open Access
- 18 June 2021
- journal article
- research article
- Published by MDPI AG in Electronics
- Vol. 10 (12), 1460
- https://doi.org/10.3390/electronics10121460
Abstract
In recent years the ever-expanding internet of things (IoT) is becoming more empowered to revolutionize our world with the advent of cutting-edge features and intelligence in an IoT ecosystem. Thanks to the development of the IoT, researchers have devoted themselves to technologies that convert a conventional home into an intelligent occupants-aware place to manage electric resources with autonomous devices to deal with excess energy consumption and providing a comfortable living environment. There are studies to supplement the innate shortcomings of the IoT and improve intelligence by using cloud computing and machine learning. However, the machine learning-based autonomous control devices lack flexibility, and cloud computing is challenging with latency and security. In this paper, we propose a rule-based optimization mechanism on an embedded edge platform to provide dynamic home appliance control and advanced intelligence in a smart home. To provide actional control ability, we design and developed a rule-based objective function in the EdgeX edge computing platform to control the temperature states of the smart home. Compared to cloud computing, edge computing can provide faster response and higher quality of services. The edge computing paradigm provides better analysis, processing, and storage abilities to the data generated from the IoT sensors to enhance the capability of IoT devices concerning computing, storage, and network resources. In order to satisfy the paradigm of distributed edge computing, all the services are implemented as microservices. The microservices are connected to each other through REST APIs based on the constrained IoT devices to provide all the functionalities that accomplish a trade-off between energy consumption and occupant-desired environment setting for the smart home appliances. We simulated our proposed system to control the temperature of a smart home; through experimental findings, we investigated the application against the delay time and overall memory consumption by the embedded edge system of EdgeX. The result of this research work suggests that the implemented services operated efficiently in the raspberry pi 3 hardware of IoT devices.Keywords
This publication has 21 references indexed in Scilit:
- The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projectsTechnological Forecasting and Social Change, 2018
- Edge computing technologies for Internet of Things: a primerDigital Communications and Networks, 2018
- Internet-of-Things-Based Smart Cities: Recent Advances and ChallengesIEEE Communications Magazine, 2017
- A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and ApplicationsIEEE Internet of Things Journal, 2017
- The Emergence of Edge ComputingComputer, 2017
- Osmotic Computing: A New Paradigm for Edge/Cloud IntegrationIEEE Cloud Computing, 2016
- A survey of IoT cloud platformsFuture Computing and Informatics Journal, 2016
- Internet of Things Based Energy Aware Smart Home Control SystemIEEE Access, 2016
- Recent Advances in Fog Radio Access Networks: Performance Analysis and Radio Resource AllocationIEEE Access, 2016
- Fog and IoT: An Overview of Research OpportunitiesIEEE Internet of Things Journal, 2016