Optimal and Robust Data Aggregative Fusion in Internet of Things for Data Collection on Equipment Status

DOI

10.2991/isci-15.2015.23How to use a DOI?

Keywords

Data Aggregation; Data Fusion; Optimal Algorithm; Internet of Things; Robust.

Abstract

Internet of Things has been regarded as a promising technology and architecture for instant maintenance of equipment status in large marine ships. Data aggregation and data fusion are essential operations in sensing data collection. The energy efficiency of aggregative tree affects the lifetime of the data collection, which should maintain robustness and optimization. Current researches have not explored how to distinguish and rely on the node energy potential for tree construction. In this paper, we propose a bunch of algorithms by using random network for data aggregation. The energy efficiency is improved by our algorithms, which is justified extensively by analysis and proof.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Xie
AU  - Xiaohui Ye
PY  - 2015/01
DA  - 2015/01
TI  - Optimal and Robust Data Aggregative Fusion in Internet of Things for Data Collection on Equipment Status
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 151
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.23
DO  - 10.2991/isci-15.2015.23
ID  - Xie2015/01
ER  -