A survey of machine learning in wireless sensor netoworks from networking and application perspectives

M Di, EM Joo - 2007 6th international conference on …, 2007 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are used to collect data from and make inferences about
the environments or objects that they are sensing. These sensors are usually characterized …

Adaptive process control and sensor fusion for process analytical technology

N O'Mahony, T Murphy, K Panduru… - 2016 27th Irish …, 2016 - ieeexplore.ieee.org
Increased globalisation and competition are drivers for process analytical technologies
(PAT) that enable seamless process control, greater flexibility and cost efficiency in the …

[PDF][PDF] Quality of services provisioning in wireless sensor networks using artificial neural network: a survey

M Mittal, K Kumar - International Journal of Computer Applications, 2015 - Citeseer
Wireless sensor network (WSN) is one of emerging trends in networking technologies being
used for communication purpose in modern life. It has mainly comprised of small sensor …

Machine learning algorithms for process analytical technology

N O'Mahony, T Murphy, K Panduru… - … World Congress on …, 2016 - ieeexplore.ieee.org
Increased globalisation and competition are drivers for process analytical technologies
(PAT) that enable seamless process control, greater flexibility and cost efficiency in the …

Design and analysis of fuzzy logic and neural network based transmission power control techniques for energy efficient wireless sensor networks

R Sabitha, KT Bhuma, T Thyagarajan - Proceedings of the 3rd …, 2015 - Springer
In this paper, we present transmission power control algorithms, based on soft computing
techniques, for reducing the energy consumption in wireless sensor network, without …

An expert approach for data flow prediction: Case study of wireless sensor networks

JK Sandhu, AK Verma, PS Rana - Wireless Personal Communications, 2020 - Springer
The data flow is an important parameter used in the optimization problem of Wireless Sensor
Networks. This paper presents an expert approach for improved data flow prediction based …

NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks

E Canete, J Chen, RM Luque, B Rubio - Journal of network and computer …, 2012 - Elsevier
Wireless Sensor and Actor Networks (WSANs) constitute a new way of distributed computing
and are steadily gaining importance due to the wide variety of applications that can be …

Design and performance analysis of energy efficient technique for wireless multimedia sensor networks using machine learning algorithm

K Akalu, K Raimond - 2011 World Congress on Information and …, 2011 - ieeexplore.ieee.org
Wireless multimedia sensor networks (WMSNs) are developed from wireless sensor
networks (WSNs) for acquiring and transmitting multimedia data such as images, audio and …

Intelligent data acquisition and processing using wavelet neural-networks

A Kulakov, D Davcev - 2005 IEEE Intelligent Data Acquisition …, 2005 - ieeexplore.ieee.org
Most of the problems for data management in today's wireless sensor networks were already
dealt with during the past thirty years of the artificial neural-networks tradition and that kind of …

[PDF][PDF] Event detection in wireless sensor networks using a decentralised pattern matching algorithm

M Baqer, AI Khan - White Paper, 2008 - researchgate.net
A pattern matching algorithm for performing event detection within large-scale wireless
sensor networks is presented. The algorithm is based on distributed cooperative problem …