Intelligent Optimization Mechanism Based on an Objective Function for Efficient Home Appliances Control in an Embedded Edge Platform

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.

Evaluation of a Smart Intercom Microservice System Based on the Cloud of Things

“…Users can control home appliances through instant messaging software, reducing the need to install smartphone apps [15]. IoT-based smart home systems connect various household appliances to Internet, allowing users to easily check the status of their home and household appliances by using a server or connecting to an efficient API for control [16,17]. A prototype system for controlling air conditioners using an embedded system has been developed [18], and household appliances can also be controlled by IoT-based voice commands or through gesture detection and control [19][20][21][22].…”

A Personal Microcomputer as an Access Control Management Platform in Road Transport

“…In this paper, we propose a smart city infrastructure able to integrate a distributed privacy-preserving identity management solution based on attribute-based credentials [2]. In [3], the authors propose a rule-based optimisation mechanism on an embedded edge platform to provide dynamic home appliance control and advanced intelligence in a smart home. The latest research includes those concerning buildings with nearly zero energy consumption [4,5].…”

EdgeX over Kubernetes: Enabling Container Orchestration in EdgeX

“…To increase service quality, the authors of [15][16][17] proposed methods to improve IoT gateway service quality through machine learning. In [15], the authors proposed an automatic temperature adjustment method to improve user convenience by applying an optimization engine and fuzzy control to the IoT gateway. The authors of [16] placed an intelligent deep-learning-based function in the rule's engine of the IoT gateway to process user requests quickly.…”