Internet of things for disaster management: State-of-the-art and prospects

PP Ray, M Mukherjee, L Shu - IEEE access, 2017 - ieeexplore.ieee.org
Disastrous events are cordially involved with the momentum of nature. As such mishaps
have been showing off own mastery, situations have gone beyond the control of human …

All-Or-Nothing data protection for ubiquitous communication: Challenges and perspectives

H Qiu, K Kapusta, Z Lu, M Qiu, G Memmi - Information Sciences, 2019 - Elsevier
As we are in the age of ubiquitous computing and communication, the need to provide safety
and security for such systems is more urgent than ever. Research works of cryptography …

Imperfect information dynamic stackelberg game based resource allocation using hidden Markov for cloud computing

W Wei, X Fan, H Song, X Fan… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Existing static grid resource scheduling algorithms, which are limited to minimizing the
makespan, cannot meet the needs of resource scheduling required by cloud computing …

A double deep Q-learning model for energy-efficient edge scheduling

Q Zhang, M Lin, LT Yang, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Reducing energy consumption is a vital and challenging problem for the edge computing
devices since they are always energy-limited. To tackle this problem, a deep Q-learning …

A survey on emerging computing paradigms for big data

Y Zhang, J Ren, J Liu, C Xu, H Guo… - Chinese Journal of …, 2017 - Wiley Online Library
The explosive growth of data volume and the ever‐increasing demands of data value
extraction have driven us into the era of big data. The “5V”(Variety, Velocity, Volume, Value …

Engineering searchable encryption of mobile cloud networks: When QoE meets QoP

H Li, D Liu, Y Dai, TH Luan - IEEE Wireless Communications, 2015 - ieeexplore.ieee.org
Mobile cloud computing can effectively address the resource limitations of mobile devices,
and is therefore essential to enable extensive resource consuming mobile computing and …

LSTM and edge computing for big data feature recognition of industrial electrical equipment

CF Lai, WC Chien, LT Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the rapid development of Industrial Internet of Things, the category and quantity of
industrial equipment will increase gradually. For centralized monitoring and management of …

Using proactive fault-tolerance approach to enhance cloud service reliability

J Liu, S Wang, A Zhou, SAP Kumar… - … on Cloud Computing, 2016 - ieeexplore.ieee.org
The large-scale utilization of cloud computing services for hosting industrial/enterprise
applications has led to the emergence of cloud service reliability as an important issue for …

Data fusion based coverage optimization in heterogeneous sensor networks: A survey

X Deng, Y Jiang, LT Yang, M Lin, L Yi, M Wang - Information Fusion, 2019 - Elsevier
Sensor networks, as a promising network paradigm, have been widely applied in a great
deal of critical real-world applications. A key challenge in sensor networks is how to improve …

A reversible and secure patient information hiding system for IoT driven e-health

JA Kaw, NA Loan, SA Parah, K Muhammad… - International Journal of …, 2019 - Elsevier
Internet of things (IoT) coupled with mobile cloud computing has made a paradigm shift in
the service sector. IoT-assisted mobile cloud based e-healthcare services are making giant …