Abstract
Conference Title: 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Conference Start Date: 2016, Oct. 13 Conference End Date: 2016, Oct. 15 Conference Location: Vancouver, BC, Canada Sensors play a vital role in the growth of big data as they are being used in numerous data-intensive applications. This paper introduces a multilayer big data aggregation framework and a priority-based, dynamic data aggregation (PDDA) scheme. The proposed PDDA approach works at the bottom layer at sensors (i.e., data collecting node) as opposed to most existing approaches which only consider aggregating data at the upper layer at the central server side. We evaluate the performance of the proposed PDDA approach and compare it against existing traditional tree and cluster-based schemes in terms of network lifetime and data latency. Simulation results demonstrate that the proposed PDDA approach outperforms the existing approaches.