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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 29, Number 7(1) (2017)
Copyright(C) MYU K.K.
pp. 855-858
S&M1374 Letter of Special Issue
https://doi.org/10.18494/SAM.2017.1562
Published: July 12, 2017

Stepwise Adjustment of Constrained Application Protocol Observing Period for Internet of Things Applications Using Wireless Sensor Networks [PDF]

Jung-Hyok Kwon, Sungmo Kim, and Eui-Jik Kim

(Received March 1, 2016; Accepted February 27, 2017)

Keywords: buffer overflow, constrained application protocol, Internet of Things, observing period, wireless sensor networks

In this paper, we present a stepwise adjustment of the constrained application protocol observing period (SACOP) for Internet of Things (IoT) applications using wireless sensor networks (WSNs), which dynamically adjust observing periods depending on the Rx queue status of the constrained application protocol (CoAP) client. The operation of SACOP consists of the following two consecutive phases: overflow alert and observing period adjustment. In the former phase, a client sends a buffer overflow alert when the queue of the client reaches the predefined queue threshold. In the latter phase, the servers change their own observing period level depending on whether or not they receive a buffer overflow alert message. Therefore, SACOP can significantly reduce the number of dropped messages caused by buffer overflow. A simulation showed that SACOP achieved a higher network performance than the legacy approach with regard to the number of dropped messages.

Corresponding author: Eui-Jik Kim


Cite this article
Jung-Hyok Kwon, Sungmo Kim, and Eui-Jik Kim, Stepwise Adjustment of Constrained Application Protocol Observing Period for Internet of Things Applications Using Wireless Sensor Networks, Sens. Mater., Vol. 29, No. 7, 2017, p. 855-858.



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