Worst-case bound analysis for the time-critical MAC behaviors of IEEE 802.15.4e

Abstract

With an advancement towards the paradigm ofInternet of Things (IoT), in which every device will be interconnected and communicating with each other, the field of wirelesssensor networks has helped to resolve an ever-growing demandin meeting deadlines and reducing power consumption. Amongseveral standards that provide support for IoT, the recentlypublished IEEE 802.15.4e protocol is specifically designed to meetthe QoS requirements of industrial applications. IEEE 802.15.4eprovides five Medium-Access Control (MAC) behaviors, includingthree that target time-critical applications: Deterministic andSynchronous Multichannel Extension (DSME); Time SlottedChannel Hopping (TSCH) and Low Latency Deterministic Network (LLDN). However, the standard and the literature do notprovide any worst-case bound analysis of these behaviors, thusit is not possible to effectively predict their timing performancein an application and accurately devise a network in accordanceto such constraints. This paper fills this gap by contributingnetwork models for the three time-critical MAC behaviors usingNetwork Calculus. These models allow deriving the worst-caseperformance of the MAC behaviors in terms of delay andbuffering requirements. We then complement these results bycarrying out a thorough performance analysis of these MACbehaviors by observing the impact of different parameters. Abstract-With an advancement towards the paradigm of Internet of Things (IoT), in which every device will be interconnected and communicating with each other, the field of wireless sensor networks has helped to resolve an ever-growing demand in meeting deadlines and reducing power consumption. Among several standards that provide support for IoT, the recently published IEEE 802.15.4e protocol is specifically designed to meet the QoS requirements of industrial applications. IEEE 802.15.4e provides five 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 accurately devise a network in accordance to such constraints. This paper fills this gap by contributing network models for the three time-critical MAC 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. Worst-Case BoundAnalysis for the Time-

On the suitability of 6TiSCH for industrial wireless communication

“…Time Slotted Channel Hopping (TSCH) is one of the three new MAC mode introduced by the last revision of IEEE 802.15.4 [IE16]. Different works in literature such as [Al15] and [Ku17] underline its better performance in term of end-to-end delay and flexibility in comparison to the other modes and sustain its selection done by the 6TiSCH-WG as the fit protocol for the realization of the IIoT paradigm.…”

DynaMO—Dynamic Multisuperframe Tuning for Adaptive IEEE 802.15.4e DSME Networks

“…In our previous research [10], [30], we highlighted the impact of CAP reduction upon DSME networks using network calculus. In this work, we compare the worst case delay bounds and throughput for a DSME-enabled network with and without CAP reduction settings.…”

“…This resulted in a considerable decrease in delay and also a 7% increase in the overall network throughput. However, in [10] we did not address the case of adaptively changing the multi-superframe to accommodate additional nodes.…”

Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

“…Its multi-superframe structure allows for the transmission of both periodic as well sporadic traffic, while still supporting a fast reconfiguration of the DSME-GTS schedule. Several work has already been done regarding this protocol regarding the evaluation of its performance limits [ 76 ], and behavior [ 9 ], and some performance improvements are on the way [ 77 ].…”