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Worst-Case Bound Analysis for the Time-Critical MAC behaviors of IEEE 802.15.4e
Ref: CISTER-TR-170406       Publication Date: 2017

Worst-Case Bound Analysis for the Time-Critical MAC behaviors of IEEE 802.15.4e

Ref: CISTER-TR-170406       Publication Date: 2017

Abstract:
The recent advancements in the field of wireless sensor networks have enabled a large number of applications with different requirements in Quality of Service(QoS). With an ever-growing demand in meeting deadlines and reduced power consumption, the world moves towards the paradigm of Internet of Things (IoT). IoT aims at several application domains such as industries, health care systems and consumer electronics where any kind of device or even a living being will be interconnected digitally. Among several standards that provide support to move towards IoT, the IEEE 802.15.4e is a recently published protocol, which is specifcally designed to meet the QoS requirements of industrial applications. This protocol provides several amendments to the MAC sublayer of IEEE 802.15.4-2011 standard. IEEE 802.15.4e provides five different Medium-Access Control (MAC) behaviors, including three that target time-critical applications: Deterministic and Synchronous Multichannel Extension (DSME); Time Slotted Channel Hopping (TSCH) and Low Latency Deterministic Network (LLDN). However, the standard and the literature do not provide any worst-case bound analysis of these behaviors, thus it is not possible to effectively predict their timing performance in an application, and consequently to accurately devise a network with such constraints in mind. This paper fills this gap and contributes with models for the three aforementioned behaviors using Network Calculus. These models allow deriving the worst-case performance of the MAC behaviors in terms of delay and buffering requirements. We then complement these results by carrying out a thorough performance analysis of these MAC behaviors by observing the impact of different parameters.

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




Record Date: 13, Apr, 2017