Enhancing Quality of Service in Internet of Things

Abstract

The potential growth of internet of things (IoT) brings people and things together to handle daily tasks in a smart way. The major advancement the IoT offers is quality data sensing and faster data analytics through hurdle-free communication. The increasing number of devices and heterogeneous network natures unwrap more challenges in terms of quality of service. Currently, the deep learning algorithm explores different dimensions of service quality gradually in IoT scenarios. In order to effectively handle a dynamic IoT environment, it is essential that the design of IoT must be supplemented with an intelligent agent for providing effective QoS. The traditional methods are not capable of utilizing historical data to find insights into service quality improvement. In this chapter, a comprehensive analysis of deep learning techniques for improving QoS of the internet of things is carried out. Deep learning solutions for improving QoS and the challenges involved are compared. The deep reinforcement learning (DRL) for improving QoS in IoT and its evaluation technique are also explored.

E-Service Quality And E-Trust Toward Online Shop Customers E-Loyalty: Satisfaction as Mediation

“…It can be concluded that e-Trust has a significant positive effect indirectly on e-customer loyalty through e-satisfaction. This is in accordance with the results of research conducted by (Syahril et al, 2022); (Udayakumar et al 2023); (Vayle et al, 2023). Proving that high e-Trust in Onlineshop can bring consumer e-Satisfaction and form e-customer loyalty.…”

“…the site and word of mouth recommendations. The results of this study support the results of previous research on e-commerce conducted by (Syahril et al, 2022); (Udayakumar et al, 2023) stating that e-Satisfaction has a positive and significant effect on loyalty. The results of this study indicate that e-Trust has a positive and significant effect on eloyalty.…”

“…According to (Syahril et al, 2022) explained that creating customer satisfaction can provide several benefits, including creating customer loyalty for a particular product and forming a word of mouth recommendation that is profitable for the company. In research conducted according to (Udayakumar et al, 2023) explained that there is a positive relationship between e-Satisfaction and e-loyalty, meaning that the level of e-Loyalty is also determined by esatisfaction. If e-Satisfaction increases, it will also increase customer e-Loyalty, and vice versa when e-Satisfaction decreases, customer e-Loyalty will also decrease.…”

“…Based on the definition of e-satisfaction put forward by some of these experts it can be seen that e-satisfaction is the result of consumer evaluations regarding the suitability of expectations with reality obtained from product/service providers after using products or services online. According to; (Rohana, 2019); (Syahril et al, 2022); (Udayakumar et al , 2023); (Vayle et al, 2023) there are 5 e-satisfaction dimensions namely, Convenience, Merchandising, Site design, Security, Serviceability.…”

“…According to (Praditya, 2019); (Ramadhan et al, 2022); (Rohana, 2019) states that e-service quality affects e-satisfaction. Research conducted by According to (Udayakumar et al , 2023); (Vayle et al, 2023) shows that e-service quality has a positive and significant effect on satisfaction and can even build long-term relationships with customers.…”