Marginal and average weight-enabled data aggregation mechanism for the resource-constrained networks
Abstract In Wireless Sensor Networks (WSNs), data redundancy is a challenging issue that
not only introduces network congestion but also consumes a considerable amount of sensor …
not only introduces network congestion but also consumes a considerable amount of sensor …
Enhancing reliability of wireless sensor network without affecting other QOS parameters
S Anand, N Jeevan - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
In this era where the trend runs behind adapting wireless medium to communicate and
sensing of data. Clustering is a process of grouping up of similar nodes and proposed work …
sensing of data. Clustering is a process of grouping up of similar nodes and proposed work …
Role of Radio Control to Enhance the Lifetime of Wireless Sensor Network
S Anand, G Suhana - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
WSN is highly defined to be a limited resource constrained group of network where energy
acquisition plays a vital role. Sensor node in WSN is battery constrained and are required for …
acquisition plays a vital role. Sensor node in WSN is battery constrained and are required for …
Improvement of e-learning in Ontology using Machine Learning Techniques
K Suresh, ME Pooja, J Meghana - 2021 Second International …, 2021 - ieeexplore.ieee.org
E-learning is a way of delivering the knowledge to the learners through mobile, tabs and
computer. Basically, eLearning is directed on the Internet, where learners can access their …
computer. Basically, eLearning is directed on the Internet, where learners can access their …
Predicting the e-learners learning style by using support vector regression technique
K Suresh, J Meghana, ME Pooja - … International Conference on …, 2021 - ieeexplore.ieee.org
Predicting student performance is a prominent key factor of Educational Data Mining,
Support Vector Regression are exposed to be useful factor for assessing under studies …
Support Vector Regression are exposed to be useful factor for assessing under studies …
DBKNN and Radial-ANFIS model for energy efficient Wireless Sensor Network
In a Wireless Sensor Network (WSN), packet transmission and sensing functions are the
most energy consumption factors. When it comes to wireless communication, unnecessary …
most energy consumption factors. When it comes to wireless communication, unnecessary …
Detection and prevention of faulty node in heterogeneous wireless sensor network
S Anand, BP Adithi - … Computing for Security Applications: Proceedings of …, 2022 - Springer
Abstract Wireless Sensor Network [WSN] faces many issues in transmitting the data from
source to sink node. The data or information must be securely transmitted. If the information …
source to sink node. The data or information must be securely transmitted. If the information …
Chaotic Bee Colony Optimization For Enhancing Life Span Of Wireless Sensor Networks
A Singh - 2022 International Conference on Computational …, 2022 - ieeexplore.ieee.org
In the last few decades, the application of Wireless Sensor Networks (WSNs) has been
increasing drastically in wide range of fields. These WSN networks comprise of small sensor …
increasing drastically in wide range of fields. These WSN networks comprise of small sensor …
Energy Efficient Green Wireless Sensor Network using Tree-Based Distributed Clustering (GTBC) Routing Protocol.
A Singh, A Bhaskar - Turkish Online Journal of Qualitative …, 2021 - search.ebscohost.com
In the world of IT, current and updated information plays a vital role. This demand leads to
the extensive use of wireless sensor network in many application domains. WSN constitutes …
the extensive use of wireless sensor network in many application domains. WSN constitutes …
[引用][C] ENERGY OPTIMIZATION IN TREE-BASED CLUSTERING ROUTING PROTOCOL FOR GREEN WIRELESS SENSOR NETWORK
A SINGH, AA BHASKAR