A Systematic Study on the Applications of Wireless Sensor Networks| Chapter 1 | Research Highlights in Mathematics and Computer Science Vol. 4

 A survey is likely regarding the reasoning of AC structure and DHC building, flat tree and DG Network, sensor construction design, Ad-hoc sensor networks, sensor applications and again an overview on the customer/server model and Mobile-Agent Based network. Sensor networks have existed used for tool traffic monitoring and control for completely a while. Most traffic intersections have either overhead or buried sensors to discover vehicles and control traffic lights. Distributed sensor networks (DSNs) have progressed from small clusters of big sensors to large swarms of limited sensors, from fixed sensor nodes to movable nodes, from connected communications to Wi-Fi communications, and from changeless network topology to dynamically changeful topology to happenings in sensor technology and calculating networks. This study presents a complete review on various requests of wireless sensors networks. The study in addition to an overview of the customer/server model and travelling-agent located network etc. are all covered in this place chapter.

Author(s) Details:

Ritika Sharma,
Department of Computer Science and Engineering, MAIT, Maharaja Agrasen University, Baddi, India.

Sushil Kumar Bansal,
Department of Computer Science and Engineering, MAIT, Maharaja Agrasen University, Baddi, India.

Abhinav Dogra,
Department of Electrical Engineering, Baddi University of Emerging Sciences and Technology, Baddi, India.

Please see the link here: https://stm.bookpi.org/RHMCS-V4/article/view/9155

Generalized Power Transformed Robust Ratio Type Estimator: An Application to COVID-19| Chapter 2 | Research Highlights in Mathematics and Computer Science Vol. 4

 The use of capacity transformed estimator results in larger precision in the estimation as these estimators determine a lesser MSE. Such accuracy is much appreciated when the state under study is rare or secret clustered as at this moment population, appropriating a representative sample is difficult and when the precision of the estimate is superior. To deal with aforementioned a situation, in this place article we have proposed the first statement power metamorphosis robust type percentage estimator and from this, we have proposed sixteen power conversion robust type percentage estimators. Further, the performance of these estimators has happened studied in estimating the average cases of COVID-19 in the Indian cause territory of Andaman and Nicobar reefs and the state of Goa concerning some related estimators. The projected estimators resulted in bigger precision.

Author(s) Details: Rajesh Singh, Department of Statistics, Institute of Science, Banaras Hindu University, India. Rohan Mishra, Department of Statistics, Institute of Science, Banaras Hindu University, India. Please see the link here: https://stm.bookpi.org/RHMCS-V4/article/view/9156

A Systematic Study on the Applications of Wireless Sensor Networks| Chapter 1 | Research Highlights in Mathematics and Computer Science Vol. 4

 A survey is likely regarding the study of AC structure and DHC building, flat tree and DG Network, sensor construction design, Ad-hoc sensor networks, sensor applications and too an overview on the customer/server model and Mobile-Agent Based network. Sensor networks have existed used for taxi traffic monitoring and control for completely a while. Most traffic intersections have either overhead or buried sensors to discover vehicles and control traffic lights. Distributed sensor networks (DSNs) have progressed from small clusters of abundant sensors to large swarms of limited sensors, from fixed sensor nodes to movable nodes, from connected communications to Wi-Fi communications, and from motionless network topology to dynamically changeful topology to incidents in sensor technology and calculating networks. This study presents a complete review on various requests of wireless sensors networks. The study in addition to an overview of the customer/server model and travelling-agent located network etc. are all covered in this place chapter.

Author(s) Details: Ritika Sharma, Department of Computer Science and Engineering, MAIT, Maharaja Agrasen University, Baddi, India. Sushil Kumar Bansal, Department of Computer Science and Engineering, MAIT, Maharaja Agrasen University, Baddi, India. Abhinav Dogra, Department of Electrical Engineering, Baddi University of Emerging Sciences and Technology, Baddi, India. Please see the link here: https://stm.bookpi.org/RHMCS-V4/article/view/9155