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DynaMO - Dynamic Multisuperframe Tuning for Adaptive IEEE
Ref: CISTER-TR-190801       Publication Date: 2019

DynaMO - Dynamic Multisuperframe Tuning for Adaptive IEEE

Ref: CISTER-TR-190801       Publication Date: 2019

Abstract:
Recent advancements in the IoT domain have been pushing for stronger demands of Quality-of-Service (QoS) and in particular for improved determinism for time-critical wireless communications under power constraints. The IEEE 802.15.4e standard protocol introduced several new MAC behaviors that provide enhanced time-critical and reliable communications. The Deterministic Synchronous Multichannel Extension (DSME) is one of its prominent MAC behaviors that combines contention-based and contention-free communication, guaranteeing bounded delays and improved reliability and scalability by leveraging multi-channel access and CAP reduction. However, DSME has a multi-superframe structure, which is statically defined at the beginning of the network. As the network evolves dynamically by changing its traffic characteristics, these static settings can affect the overall throughput and increase the network delay because of improper allocation of bandwidth. In this paper, we address this problem, and we present a dynamic multisuperframe tuning technique that dynamically adapts the multi-superframe structure based on the size of the network. This technique improves the QoS by providing 15-30% increase in throughput and 15-35% decrease in delay when compared to static DSME networks.

Authors:
Harrison Kurunathan
,
Ricardo Severino
,
Anis Koubâa
,
Eduardo Tovar


Published in IEEE Access, IEEE, Volume 7, pp 122522-122535.

DOI:10.1109/ACCESS.2019.2937952.
ISSN: 2169-3536.



Record Date: 27, Aug, 2019