Aim. This paper aims to bring forth how the basic right of education got adversely affected due to the COVID-19 pandemic. The unplanned and immediate shift to online classes adversely affected the students’ physical and mental health as several issues that the students faced were related to the lack of adequate resources. Methods. The data for this paper were collected through a self-prepared and structured questionnaire, using Google forms, which was then circulated among different stakeholders of the educational institutes. The statistical analysis of the collected data was done using Microsoft Excel. Results and conclusion. According to the analysis of the survey, smartphones (75% of the total respondents) are relatively more accessible by students in comparison to computers or laptops (53%). And even if students had internet connectivity (57%), they faced issues of low data bandwidth (39%) leading to poor quality of online interaction in classes. Another important analysis suggested that 57% of students lacked a quiet room or space to attend the online classes in their homes. Finally, the negative impacts of online classes on the physical and mental health of students were also analysed. Cognitive value. The findings and the analysis of this paper would thus help teachers and institutions to understand students’ views and experiences of the pandemic. This understanding would help teachers to plan their teaching plans accordingly bridging the digital divide which would help students learn and grow.
Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I summarize and conclude the paper with some future directions.
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