A systematic survey of data mining and big data analysis in internet of things
Y Zhong, L Chen, C Dan, A Rezaeipanah - The Journal of …, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system
Energy Internet (EI) envisions a future energy system with sustainable concerns of efficiency,
economy and environment by achieving flexibility of multi-energy-integrated physical space …
economy and environment by achieving flexibility of multi-energy-integrated physical space …
Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future
The rapid development and implementation of smart and IoT (Internet of Things) based
technologies have allowed for various possibilities in technological advancements for …
technologies have allowed for various possibilities in technological advancements for …
Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm
Existing research on cascading failures of wireless sensor networks (WSNs) fails to take into
account the role of the sink node on network load distribution, and rarely involves how to …
account the role of the sink node on network load distribution, and rarely involves how to …
Integrated deep learning method for workload and resource prediction in cloud systems
Cloud computing providers face several challenges in precisely forecasting large-scale
workload and resource time series. Such prediction can help them to achieve intelligent …
workload and resource time series. Such prediction can help them to achieve intelligent …
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
A Samanta, J Tang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In recent years, the rapid development of mobile edge computing (MEC) provides an
efficient execution platform at the edge for Internet-of-Things (IoT) applications …
efficient execution platform at the edge for Internet-of-Things (IoT) applications …
Dynamic contract design for federated learning in smart healthcare applications
Currently, the data collected by the Internet of Healthcare Things, ie, healthcare oriented
Internet of Things (IoT), still rely on cloud-based centralized data aggregation and …
Internet of Things (IoT), still rely on cloud-based centralized data aggregation and …
A novel load balancing and low response delay framework for edge-cloud network based on SDN
Y Liu, Z Zeng, X Liu, X Zhu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
For the cloud computing based on software-defined networks (SDNs), a larger amount of
data is collected to cloud for analysis, which will cause the larger amount of redundancy …
data is collected to cloud for analysis, which will cause the larger amount of redundancy …
Energy-aware green adversary model for cyberphysical security in industrial system
AK Sangaiah, DV Medhane, GB Bian… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Adversary models have been fundamental to the various cryptographic protocols and
methods. However, their use in most of the branches of research in computer science is …
methods. However, their use in most of the branches of research in computer science is …
Toward secure and provable authentication for Internet of Things: Realizing industry 4.0
The Internet of Things (IoT) has many applications, including Industry 4.0. There are a
number of challenges when deploying IoT devices in the Industry 4.0 setting, partly due to …
number of challenges when deploying IoT devices in the Industry 4.0 setting, partly due to …