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Title: Concurrent data collection trees for IoT applications
Authors: Cheng, CT 
Ganganath, N 
Fok, KY
Keywords: Concurrent transmissions
Internet of Things (IoT)
Data collection processes
Tree topology
Issue Date: Apr-2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial informatics, Apr 2017, v. 13, no. 2, p. 793-799 How to cite?
Journal: IEEE transactions on industrial informatics 
Abstract: Internet of Things (IoT) systems comprise massive volumes of smart devices. Through exchanges of information, smart objects are capable of reasoning and generate higher level of intelligence. The effectiveness of data collection processes is a key factor to the success of IoT systems as it can seriously affect the freshness of the captured data. Efficient data collection processes have been well studied on sensory systems with static topologies and single data extraction point. Smart devices in IoT systems are often shared by different parties; therefore, concurrent data collection processes are always expected. Such a unique characteristic of IoT systems has imposed new challenges to the designs of efficient data collection processes. In this paper, concurrent data collection trees specifically designed for IoT applications are proposed. It is shown that, comparing with an existing single-user data collection structure, systems with the proposed tree structures can significantly shorten their concurrent data collection processes.
ISSN: 1551-3203
EISSN: 1941-0050
DOI: 10.1109/TII.2016.2610139
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication C. T. Cheng, N. Ganganath and K. Y. Fok, "Concurrent Data Collection Trees for IoT Applications," in IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 793-799, April 2017 is available at
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