Machine learning for wireless sensor networks security: An overview of challenges and issues
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Fault detection in wireless sensor networks through SVM classifier
Wireless sensor networks (WSNs) are prone to many failures such as hardware failures,
software failures, and communication failures. The fault detection in WSNs is a challenging …
software failures, and communication failures. The fault detection in WSNs is a challenging …
A survey on fault diagnosis in wireless sensor networks
Wireless sensor networks (WSNs) often consist of hundreds of sensor nodes that may be
deployed in relatively harsh and complex environments. In views of hardware cost, sensor …
deployed in relatively harsh and complex environments. In views of hardware cost, sensor …
An analysis of fault detection strategies in wireless sensor networks
T Muhammed, RA Shaikh - Journal of Network and Computer Applications, 2017 - Elsevier
Wireless sensor networks have emerged as a key technology which is used in many safety
critical applications. The sensors in wireless sensor network have to be deployed in hostile …
critical applications. The sensors in wireless sensor network have to be deployed in hostile …
A power efficient cluster-based routing algorithm for wireless sensor networks: Honeybees swarm intelligence based approach
AAA Ari, BO Yenke, N Labraoui, I Damakoa… - Journal of Network and …, 2016 - Elsevier
The design of low-power scalable wireless sensor networks remains a key challenge of the
research. Clustering and routing have been widely studied for extending the lifetime of a …
research. Clustering and routing have been widely studied for extending the lifetime of a …
A novel energy efficient threshold based algorithm for wireless body sensor network
SK Arumugam, AS Mohammed, K Nagarajan… - Energies, 2022 - mdpi.com
Wireless body sensor networks (WBSNs) monitor the changes within the human body by
having continuous interactions within the nodes in the body network. Critical issues with …
having continuous interactions within the nodes in the body network. Critical issues with …
[HTML][HTML] Outlier detection strategies for WSNs: A survey
B Chander, G Kumaravelan - Journal of King Saud University-Computer …, 2022 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
Fault-tolerant event region detection on trajectory pattern extraction for industrial wireless sensor networks
Poisonous pollutants produced in chemical, plastics, or nuclear power industry are easy to
leak and result in a large-scale hazardous event region. Recently, industrial wireless sensor …
leak and result in a large-scale hazardous event region. Recently, industrial wireless sensor …