Abstract
Big Data represents large amount of data which have high velocity and high variety. Contribution towards the big data increases, as the technology develops. Wireless sensor networks are considered as the main contributor of big data. Hence collecting large amount data or big data from sensor nodes is an important concern in the field of information and communication technology. Mobile sink approach is an effective way to gather data from wireless sensor networks in an energy efficient manner. For collecting data from dynamic wireless sensor networks we proposed modified clustering algorithm with mobile sink based data gathering. In addition to that, we have done a performance analysis of the proposed algorithm on dynamic wireless sensor networks. We also compared the performance of the algorithm under different number of mobile sinks and derived a relationship between the numbers of mobile sink required to gather big data from a wireless sensor networks with given number of dynamic sensor nodes.
Published Version
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