Energy efficiency for green internet of things (IoT) networks: A survey

L Farhan, RS Hameed, AS Ahmed, AH Fadel, W Gheth… - Network, 2021 - mdpi.com
The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …

Data aggregation in massive machine type communication: Challenges and solutions

T Salam, WU Rehman, X Tao - IEEE Access, 2019 - ieeexplore.ieee.org
Machine type communication (MTC) is a fundamental technology to realize the concept of
fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of …

A new data aggregation approach for WSNs based on open pits mining

H Ramezanifar, M Ghazvini, M Shojaei - Wireless Networks, 2021 - Springer
Wireless sensor networks consist of a large number of sensor nodes with limited energy,
which is widely used in various Internet of things scenarios in recent years. Regarding the …

Similarity‐based clustering and data aggregation with independent component analysis in wireless sensor networks

K Shahina, TS Pradeep Kumar - Transactions on Emerging …, 2022 - Wiley Online Library
Wireless sensor networks are consisted of group of sensor nodes, which are scattered in
inaccessible areas with limited resources. Data aggregation and clustering methods …

[PDF][PDF] Man-In-The Middle Attack Detection Scheme on Data Aggregation in Wireless Sensor Networks.

MI Adawy, M Tahboush, O Aloqaily… - International Journal of …, 2023 - researchgate.net
Abstract Wireless Sensor Networks (WSNs) consist of small devices, sensors, which are
deployed densely and arbitrarily in monitoring areas to gather information. Typically, the …

Optimal packet aggregation scheduling in wireless networks

AS Akyurek, TS Rosing - IEEE Transactions on Mobile …, 2018 - ieeexplore.ieee.org
One of the most critical emerging problems for 5G and Internet of Things is the handling of
machine-to-machine communication. Wireless sensor networks are deployed every day …

Clustering and data aggregation in wireless sensor networks using machine learning algorithms

K Shahina, V Vaidehi - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) are resource constrained. Clustering and data
aggregations are used to reduce the energy consumption in the network by decreasing the …

LEACH based WSN classification using supervised machine learning algorithm

S Mustary, MA Kashem, MNI Khan… - 2021 International …, 2021 - ieeexplore.ieee.org
To form a WSN properly is very important with the desired throughput and lifetime. Properly
forming of WSN with desired output is the key of successful operation of WSN. To main factor …

Integrated Boolean Sensing and Event Radius Model on Data Aggregation in Wireless Sensor Networks

M Adawy, O Almomani, M Tahboush… - 2023 International …, 2023 - ieeexplore.ieee.org
In Wireless Sensor Network (WSN), sensor nodes are densely and arbitrarily deployed in
monitoring areas and most of them generate redundant data due to sense same events in …

Energy-efficient spatial query-centric geographic routing protocol in wireless sensor networks

X Wang, X Liu, M Wang, Y Nie, Y Bian - Sensors, 2019 - mdpi.com
In data-centric wireless sensor networks (WSNs), sensing data have a high time–space
correlation. Most queries are spatial and used to obtain data in a defined region. Geographic …