A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system

W Li, Y Chai, F Khan, SRU Jan, S Verma… - Mobile networks and …, 2021 - Springer
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

[HTML][HTML] The digitisation of agriculture: a survey of research activities on smart farming

M Bacco, P Barsocchi, E Ferro, A Gotta, M Ruggeri - Array, 2019 - Elsevier
The impulse towards a larger introduction of Information and Communication Technology
(ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large …

Secure healthcare data aggregation and transmission in IoT—A survey

A Ullah, M Azeem, H Ashraf, AA Alaboudi… - IEEE …, 2021 - ieeexplore.ieee.org
Internet of medical things (IoMT) is getting researchers' attention due to its wide applicability
in healthcare. Smart healthcare sensors and IoT enabled medical devices exchange data …

Secure data aggregation methods and countermeasures against various attacks in wireless sensor networks: A comprehensive review

MS Yousefpoor, E Yousefpoor, H Barati, A Barati… - Journal of Network and …, 2021 - Elsevier
Wireless sensor networks include a large number of sensor nodes, which monitor an
environment. These networks have many applications in Internet of Things (IoT) and …

Understanding market agility for new product success with big data analytics

N Hajli, M Tajvidi, A Gbadamosi, W Nadeem - Industrial Marketing …, 2020 - Elsevier
The complexity that characterises the dynamic nature of the various environmental factors
makes it very compelling for firms to be capable of addressing the changing customers' …

A survey on the application of WirelessHART for industrial process monitoring and control

PAM Devan, FA Hussin, R Ibrahim, K Bingi… - Sensors, 2021 - mdpi.com
Industrialization has led to a huge demand for a network control system to monitor and
control multi-loop processes with high effectiveness. Due to these advancements, new …

A hierarchical secure data aggregation method using the dragonfly algorithm in wireless sensor networks

E Yousefpoor, H Barati, A Barati - Peer-to-Peer Networking and …, 2021 - Springer
A wireless sensor network (WSN) consists of a set of sensor nodes that are widely scattered
in inaccessible areas. When deployed in large areas, WSNs generate a large volume of the …

Multi-step data prediction in wireless sensor networks based on one-dimensional CNN and bidirectional LSTM

H Cheng, Z Xie, Y Shi, N Xiong - IEEE Access, 2019 - ieeexplore.ieee.org
The increase of network size and sensory data leads to many serious problems to the
wireless sensor networks due to the limited energy. Data prediction method is helpful to …

SecDL: QoS-aware secure deep learning approach for dynamic cluster-based routing in WSN assisted IoT

S Sujanthi, S Nithya Kalyani - Wireless Personal Communications, 2020 - Springer
In WSN-assisted IoT, energy efficiency and security which play pivotal role in Quality of
Service (QoS) are still challenging due to its open and resource constrained nature …

Machine learning for advanced wireless sensor networks: A review

T Kim, LF Vecchietti, K Choi, S Lee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …