Energy efficiency for green internet of things (IoT) networks: A survey
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 …
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
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 …
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 …
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 …
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.
Abstract Wireless Sensor Networks (WSNs) consist of small devices, sensors, which are
deployed densely and arbitrarily in monitoring areas to gather information. Typically, the …
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 …
machine-to-machine communication. Wireless sensor networks are deployed every day …
Clustering and data aggregation in wireless sensor networks using machine learning algorithms
Wireless Sensor Networks (WSN) are resource constrained. Clustering and data
aggregations are used to reduce the energy consumption in the network by decreasing the …
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 …
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
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 …
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 …
correlation. Most queries are spatial and used to obtain data in a defined region. Geographic …