[HTML][HTML] A survey of indoor location technologies, techniques and applications in industry

SJ Hayward, K van Lopik, C Hinde, AA West - Internet of Things, 2022 - Elsevier
The recent academic research surrounding indoor positioning systems (IPS) and indoor
location-based services (ILBS) are reviewed to establish the current state-of-the-art for IPS …

A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation

M Elsisi, M Amer, CL Su - Energy, 2023 - Elsevier
The energy consumption of major equipment in residential and industrial facilities can be
minimized through a variety of cost-effective energy-saving measures. Most saving …

Cognitive computing and wireless communications on the edge for healthcare service robots

S Wan, Z Gu, Q Ni - Computer Communications, 2020 - Elsevier
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …

Multi-objective workflow scheduling with deep-Q-network-based multi-agent reinforcement learning

Y Wang, H Liu, W Zheng, Y **a, Y Li, P Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Cloud Computing provides an effective platform for executing large-scale and complex
workflow applications with a pay-as-you-go model. Nevertheless, various challenges …

Context-aware QoS prediction with neural collaborative filtering for Internet-of-Things services

H Gao, Y Xu, Y Yin, W Zhang, R Li… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With the prevalent application of Internet of Things (IoT) in real world, services have become
a widely used means of providing configurable resources. As the number of services is large …

QoS prediction for service recommendation with features learning in mobile edge computing environment

Y Yin, Z Cao, Y Xu, H Gao, R Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, deep neural networks have achieved exciting results in a variety of tasks,
and many fields try to introduce neural network techniques. In mobile edge computing, there …

Transformation-based processing of typed resources for multimedia sources in the IoT environment

H Gao, Y Duan, L Shao, X Sun - Wireless Networks, 2021 - Springer
Web services are middleware designed to support the interoperation between different
software systems and devices over the Web. Today, we encounter a variety of situations in …

Task scheduling algorithm based on improved firework algorithm in fog computing

S Wang, T Zhao, S Pang - IEEE Access, 2020 - ieeexplore.ieee.org
As an emerging computing model close to the end-user, fog computing can move tasks from
the cloud to the fog device to process, and make up for the lack of cloud computing in terms …

Recent advances in consensus protocols for blockchain: a survey

S Wan, M Li, G Liu, C Wang - Wireless networks, 2020 - Springer
As the core of a blockchain system, the consensus mechanism not only helps to maintain the
consistency of node data, but also gets involved in the issuance of tokens and prevention of …

An EDA-GA hybrid algorithm for multi-objective task scheduling in cloud computing

S Pang, W Li, H He, Z Shan, X Wang - IEEE Access, 2019 - ieeexplore.ieee.org
As one of the hot issues in cloud computing, task scheduling is an important way to meet
user needs and achieve multiple goals. With the increasing number of cloud users and …