Towards the support of Industrial IoT applications with TSCH

Vieira, Ivanilson França; Curado, Marília; Granjal, Jorge

doi:10.1145/3555776.3577752

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In our previous work [11,12], the TSCH minimal schema was evaluated to identify performance issues and discuss the consequences of using a single shared slot. Among the issues we discovered, the lack of transmission opportunities from forwarding nodes results in disconnections due to missing Enhanced Beacon (EB) frames and RPL control messages.…”

Section: Schedulingmentioning

confidence: 99%

RT-Ranked: towards network resiliency by anticipating demand in TSCH/RPL communication environments.

Vieira¹,

Granjal

Curado

2023

Preprint

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Time-slotted Channel Hopping (TSCH) Media Access Control (MAC) was specified to target the Industrial Internet of Things needs. This MAC balances energy, bandwidth, and latency for deterministic communications in unreliable wireless environments. Building a TSCH schedule is arduous because the node negotiates cells with its neighbours based on queue occupancy, latency, and consumption metrics. The Minimal TSCH Configuration defined by RFC 8180 was specified for bootstrapping a 6TiSCH network and detailed configurations necessary to be supported. In particular, it adopts Routing Protocol for Low Power and Lossy networks (RPL) Non-Storing mode, which reduces the node's network awareness. Dealing with unpredicted traffic far from the forwarding node is difficult due to limited network information. Anticipating this unexpected flow from multiple network regions is essential because it can turn the forwarding node into a network bottleneck leading to high latency, packet discard or disconnection rates, forcing RPL to change the topology. To cope with that, this work proposes a new mechanism that implements an RPL control message option for passing forward the node's cell demand, allowing the node to anticipate the proper cell allocation for supporting the traffic originating by nodes far from the forwarding point embedded in Destination-Oriented Directed Acyclic Graph (DODAG) Information Object (DIO) and Destination Advertisement Object (DAO) RPL control messages. Implementing this mechanism in a distributed TSCH Scheduling developed in Contiki-NG yielded promising results in supporting unforeseen traffic bursts and has the potential to significantly improve the performance and reliability of TSCH schedules in challenging network environments.

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Section: Schedulingmentioning

confidence: 99%

RT-Ranked: towards network resiliency by anticipating demand in TSCH/RPL communication environments.

Vieira¹,

Granjal

Curado

2023

Preprint

Self Cite

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Modeling end-to-end delays in TSCH wireless sensor networks using queuing theory and combinatorics

Shudrenko,

Timm-Giel

2024

Computing

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Wireless communication offers significant advantages in terms of flexibility, coverage and maintenance compared to wired solutions and is being actively deployed in the industry. IEEE 802.15.4 standardizes the Physical and the Medium Access Control (MAC) layer for Low Power and Lossy Networks (LLNs) and features Timeslotted Channel Hopping (TSCH) for reliable, low-latency communication with scheduling capabilities. Multiple scheduling schemes were proposed to address Quality of Service (QoS) in challenging scenarios. However, most of them are evaluated through simulations and experiments, which are often time-consuming and may be difficult to reproduce. Analytical modeling of TSCH performance is lacking, as only one-hop communication with simplified traffic patterns is considered in state-of-the-art. This work proposes a new framework based on queuing theory and combinatorics to evaluate end-to-end delays in multihop TSCH networks of arbitrary topology, traffic and link conditions. The framework is validated in simulations using OMNeT++ and shows below 6% root-mean-square error (RMSE), providing quick and reliable latency estimation tool to support decision-making and enable formalized comparison of existing scheduling solutions.

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RT-Ranked: Towards Network Resiliency by Anticipating Demand in TSCH/RPL Communication Environments

Vieira Junior,

Granjal,

Curado

2024

J Netw Syst Manage

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Time-slotted Channel Hopping (TSCH) Media Access Control (MAC) was specified to target the Industrial Internet of Things needs. This MAC balances energy, bandwidth, and latency for deterministic communications in unreliable wireless environments. Building a distributed or autonomous TSCH schedule is arduous because the node negotiates cells with its neighbours based on queue occupancy, latency, and consumption metrics. The Minimal TSCH Configuration defined by RFC 8180 was specified for bootstrapping a 6TiSCH network and detailed configurations necessary to be supported. In particular, it adopts Routing Protocol for Low Power and Lossy networks (RPL) Non-Storing mode, which reduces the node’s network awareness. Dealing with unpredicted traffic far from the forwarding node is difficult due to limited network information. Anticipating this unexpected flow from multiple network regions is essential because it can turn the forwarding node into a network bottleneck leading to high latency, packet discard or disconnection rates, forcing RPL to change the topology. To cope with that, this work proposes a new mechanism that implements an RPL control message option for passing forward the node’s cell demand, allowing the node to anticipate the proper cell allocation for supporting the traffic originating by nodes far from the forwarding point embedded in Destination-Oriented Directed Acyclic Graph (DODAG) Information Object (DIO) and Destination Advertisement Object (DAO) RPL control messages. Implementing this mechanism in a distributed TSCH Scheduling developed in Contiki-NG yielded promising results in supporting unforeseen traffic bursts and has the potential to significantly improve the performance and reliability of TSCH schedules in challenging network environments.

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Towards the support of Industrial IoT applications with TSCH

Cited by 3 publications

References 18 publications

RT-Ranked: towards network resiliency by anticipating demand in TSCH/RPL communication environments.

RT-Ranked: towards network resiliency by anticipating demand in TSCH/RPL communication environments.

Modeling end-to-end delays in TSCH wireless sensor networks using queuing theory and combinatorics

RT-Ranked: Towards Network Resiliency by Anticipating Demand in TSCH/RPL Communication Environments

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