@inproceedings{4ad8d002685d47e7839ab43178f92b77,
title = "Sensor data aggregation in a multi-layer Big Data framework",
abstract = "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.",
keywords = "Big Data, Clustering, Data aggregation, Sensor, Tree",
author = "Lutful Karim and Al-Kahtani, \{Mohammed S.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016 ; Conference date: 13-10-2016 Through 15-10-2016",
year = "2016",
month = nov,
day = "16",
doi = "10.1109/IEMCON.2016.7746261",
language = "English",
series = "7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Saha, \{Himadri Nath\} and Satyajit Chakrabarti",
booktitle = "7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016",
address = "United States",
}