Data Aggregation using Multi Hop Technique with Security

Abstract

In the coming future of Digital Media Smart Mobile Devices are getting more and more importance. The use of these smart devices in day to today life of human being have been increased and it  becomes very easy to share information through these devices to others. These mobile devices are now facilitated with number of applications that are using sensors such as camera, microphone, GPS, accelerometer, ambient light sensor, gyroscope, and so on. But the data shared by an individual have to be protected. And to maintain the privacy of the important data, the shared data have to be protected.  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 participants. 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.