CaCa: Chinese Remainder Theorem Based Algorithm for Data Aggregation in Internet of Things on Ships

Abstract:

Internet of Things can be used as a key technology or architecture on marine ships for remote equipment maintenance. Data aggregation in Internet of Things is a critical issue for the efficiency of sensing data collection. The volume of sensing data is huge because the number of equipments is large. It is thus mandatory to decrease the communication overhead in data aggregation. In this paper, we propose a Chinese Remainder Theorem based coding algorithm for data aggregation, called CaCa. The communication efficiency is improved by CaCa (at least 90% very likely), which is justified extensively by formal analysis and rigorous proof.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 1098-1101
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.1098
• Online since: December 2014
• Authors: Feng Xie*
• Keywords: Algorithm (GA), Chinese Remainder Theorem, Data Aggregation, Internet of Things (IOT)

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