[HTML][HTML] Similarity-aware data aggregation using fuzzy c-means approach for wireless sensor networks
R Wan, N Xiong, Q Hu, H Wang, J Shang - EURASIP Journal on Wireless …, 2019 - Springer
For resource-constrained IoT systems, data collection is one of the fundamental operations
to reduce the energy dissipation of sensor nodes and improve the network lifetime …
to reduce the energy dissipation of sensor nodes and improve the network lifetime …
Efficient clustering-based data aggregation techniques for wireless sensor networks
In wireless sensor network applications for surveillance and reconnaissance, large amounts
of redundant sensing data are frequently generated. It is important to control these data with …
of redundant sensing data are frequently generated. It is important to control these data with …
An energy-efficient data aggregation approach for cluster-based wireless sensor networks
In wireless sensor networks (WSNs), data redundancy is a challenging issue that not only
introduces network congestion but also consumes considerable sensor node resources …
introduces network congestion but also consumes considerable sensor node resources …
Issues of data aggregation methods in wireless sensor network: a survey
S Sirsikar, S Anavatti - Procedia Computer Science, 2015 - Elsevier
Abstract In Wireless Sensor Networks (WSN) sensor nodes are deployed in a region to
sense the information. These sensor nodes sense the similar information and sends it to sink …
sense the information. These sensor nodes sense the similar information and sends it to sink …
[HTML][HTML] A data aggregation approach exploiting spatial and temporal correlation among sensor data in wireless sensor networks
Wireless sensor networks (WSNs) have various applications which include zone
surveillance, environmental monitoring, event tracking where the operation mode is long …
surveillance, environmental monitoring, event tracking where the operation mode is long …
An efficient data aggregation and outlier detection scheme based on radial basis function neural network for WSN
Wireless sensor network (WSN) is used for data collection and transmission in IoT
environment. Since it consists of a large number of sensor nodes, a significant amount of …
environment. Since it consists of a large number of sensor nodes, a significant amount of …
Comparison of different data aggregation techniques in distributed sensor networks
Wireless sensor networks (WSNs) are almost everywhere, they are exploited for thousands
of applications in a densely distributed manner. Such deployment makes WSNs one of the …
of applications in a densely distributed manner. Such deployment makes WSNs one of the …
Recursive principal component analysis-based data outlier detection and sensor data aggregation in IoT systems
Internet of Things (IoT) is emerging as the underlying technology of our connected society,
which enables many advanced applications. In IoT-enabled applications, information of …
which enables many advanced applications. In IoT-enabled applications, information of …
An analysis of variance-based methods for data aggregation in periodic sensor networks
Given the vast area to be covered and the random deployment of the sensors, wireless
sensor networks (WSNs) require scalable architecture and management strategies. In …
sensor networks (WSNs) require scalable architecture and management strategies. In …
A novel data aggregation scheme based on self-organized map for WSN
I Ullah, HY Youn - The Journal of Supercomputing, 2019 - Springer
Wireless sensor network allows efficient data collection and transmission in IoT
environment. Since it usually consists of a large number of sensor nodes, a significant …
environment. Since it usually consists of a large number of sensor nodes, a significant …