A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit <a rel="external noopener" href="https://www.ijsr.net/archive/v4i12/NOV152431.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<i title="International Journal of Science and Research">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/odv46yibm5gf7evzoopmrrqr3q" style="color: black;">International Journal of Science and Research (IJSR)</a>
Smart Mobile phones especially are getting more and more importance in day to day life. These mobile phones are now facilitated with number of applications that are using sensors such as camera, microphone, GPS, accelerometer, ambient light sensor, gyroscope, and so on. With the help of large numbers of individual participants, aggregation which is computed from data is really useful and helps to predict the statistics of Result. Aggregation guarantees more privacy of the data from individual<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21275/v4i12.nov152431">doi:10.21275/v4i12.nov152431</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ybf533pmorbltdc7t62cewtqbi">fatcat:ybf533pmorbltdc7t62cewtqbi</a> </span>
more »... rticipants. This paper provides a solution for preserving the individual participants privacy by using aggregate function like Sum, Min. Calculation of Sum aggregation is done without releasing the participant's information. Min aggregation is calculated using Sum aggregation. Min aggregation is nothing but minimum value of data. In this paper, a multi-hop network is considered where, there is a main aggregator at the highest level and mobile nodes are considered at lowest level and in between node sink are used at middle level. This system deals with dynamic leaves and joins in mobile sensing using the timestamp of the participants.
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