[PDF][PDF] CCOA-DC: A Novel Optimization with NMF Data Compression in WSN Data Aggregation.

MK Jabbar, TA Kareem - International Journal of Intelligent …, 2024 - researchgate.net
Wireless Sensor Networks (WSNs) play a pivotal role in remote monitoring, surveillance,
and Internet of Things (IoT) applications. The efficient utilization of battery-powered sensor …

An energy and delay aware optimal data aggregation using three fold algorithm for WSN

AR Basha, G Sivakumar - International Journal of Business …, 2020 - inderscienceonline.com
Wireless sensor networks (WSNs) have been regarded as an emerging and promising field
in several applications like facility, health, environmental monitoring, military survival lance …

Principal component analysis based clustering approach for WSN with locally uniformly correlated data

Z Jellali, LN Atallah, S Cherif - 2019 15th International Wireless …, 2019 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) is an effective data collection technology, which is
increasingly recognized to be a key competency in Internet of Things (IoT) paradigm since …

An Energy Efficient and Scalable WSN with Enhanced Data Aggregation Accuracy

NR Saadallah, SA Alabady - Journal of Telecommunications and Information …, 2024 - jtit.pl
This paper introduces a method that combines the K-means clustering genetic algorithm
(GA) and Lempel-Ziv-Welch (LZW) compression techniques to enhance the efficiency of …

A new data aggregation scheme via adaptive compression for wireless sensor networks

P Kasirajan, C Larsen, S Jagannathan - ACM Transactions on Sensor …, 2012 - dl.acm.org
Data aggregation is necessary for extending the network lifetime of wireless sensor nodes
with limited processing and power capabilities, since energy expended in transmitting a …

Hybrid Optimization algorithm for clustering and Routing in WSN

HB Divyashree, C Puttamadappa… - 2022 IEEE 2nd Mysore …, 2022 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) exemplary incorporate thousands of corresponding
miniature nodes, individually provisioned along discern mechanism. Thereby, the node …

Grid clustering and fuzzy reinforcement‐learning based energy‐efficient data aggregation scheme for distributed WSN

G Sanjay Gandhi, K Vikas, V Ratnam… - IET …, 2020 - Wiley Online Library
The widely acceptable problem in wireless sensor networks (WSNs) is to develop a practical
scheme for data aggregation in the massive range of sensor nodes that are randomly …

Cluster based data aggregation scheme for latency and packet loss reduction in WSN

VS Devi, T Ravi, SB Priya - Computer Communications, 2020 - Elsevier
Abstract In Wireless Sensor Networks (WSN), the main issues of cluster based data
aggregation algorithms are energy balancing, packet loss and latency reduction. In existing …

Data aggregation algorithms with multiple sensors in clustered-based WSN/IoT

W Hussein, J Abdullah… - International Journal of …, 2020 - journal.uob.edu.bh
In wireless sensor networks (WSN), data aggregation algorithms are used to extend the
network lifetime. The size of data packet transmitted from the cluster head (CH) to the base …

Energy-efficient communication using data aggregation and data compression techniques in wireless sensor networks: A survey

S Pushpalatha, KS Shivaprakasha - Advances in Communication, Signal …, 2020 - Springer
Abstract Wireless Sensor Network (WSN) has been emerging as the most promising
technology of future communication. WSNs face numerous research challenges, and one …