Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Abstract

In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its derivatives have become one of the most popular and important technological advancements. In IoT, all things and services in the real world are digitalized and it continues to grow exponentially every year. This growth in number of IoT device in the end has created a tremendous amount of data and new data services such as big data systems. These new technologies can be managed to produce additional value to the existing business model. It also can provide a forecasting service and is capable to produce decision-making support using computational intelligence methods. In this survey paper, we provide detailed research activities concerning Computational Intelligence methods application in IoT WSN. To build a good understanding, in this paper we also present various challenges and issues for Computational Intelligence in IoT WSN. In the last presentation, we discuss the future direction of Computational Intelligence applications in IoT WSN such as Self-Organizing Network (dynamic network) concept.

Smart home Management System with Face Recognition Based on ArcFace Model in Deep Convolutional Neural Network

“…The security ability is enhanced. Moreover, obtained results can apply for intelligent IoT system and smart services [35][36][37][38][39].…”

“…An observation device that connects to the Jetson Nano such as a TV or LCD monitor. Jetson Nano also supports Internet access with smart devices [35,37]: mobile phones, laptops, and desktop computers in Fig. 10.…”

“…AI consists of main applications as following: Natural language processing, computer vision [61,62], machine learning [63], data processing [64], and optimal decision. Following this current trend, we exploit a powerful deep learning approach in facial and hand gestures recognition applying for IoT control management systems [27][28][29][30][31][32][33][34][35][36][37][38][39]. Local database of identified people supports into both security and privacy.…”

Smart Attendance System based on improved Facial Recognition

“…An observation device that connects to the Jetson Nano such as a TV or LCD monitor. Jetson Nano also supports Internet access with smart devices: mobile phones, laptops, and desktop computers [31][32][33]. Based on the proposed practical system, Fig.…”

“…For small datasets and less resources in training model, the model is more efficient and faster than the state-of-the-art models which require larger datasets for training and processing. Finally, the smart attendance system is successfully designed based on the improved facial recognition and IoT technology [30][31][32][33][34][35][36].…”