Multipath Scheduling for Energy Balancing and Reliable Transmission over 6TiSCH WSN

Yoo, Donghwa; Chung, Sang-Hwa; Ha, Yuvin

doi:10.1109/icufn.2019.8806112

Cited by 1 publication

(1 citation statement)

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“…Of the least addressed objectives, we find fault tolerance, which few schedulers address. One example is by Yoo et al [ 89 ] which always schedules resources to multiple alternative parents to improve fault tolerance and introduce load balancing. Another approach is seen in Wave [ 90 ] which first evaluates any new links and triggers a re-scheduling only if it causes collisions or if a new parent is selected.…”

Section: Collaborative Schedulingmentioning

confidence: 99%

A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things

Urke

Kure

Øvsthus

2021

Sensors

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Concepts such as Industry 4.0 and Cyber-Physical Systems may bring forward a new industrial revolution. These concepts require extensive connectivity far beyond what is provided by traditional industrial networks. The Industrial Internet of Things (IIoT) bridges this gap by employing wireless connectivity and IP networking. In order for wireless networks to meet the strict requirements of the industrial domain, the Time Slotted Channel Hopping (TSCH) MAC is often employed. The properties of a TSCH network are defined by the schedule, which dictates transmission opportunities for all nodes. We survey the literature for these schedulers, describe and organize them according to their operation: Centralized, Collaborative, Autonomous, Hybrid, and Static. For each category and the field as a whole, we provide a holistic view and describe historical trends, highlight key developments, and identify trends, such as the attention towards autonomous mechanisms. Each of the 76 schedulers is analyzed into their common components to allow for comparison between schedulers and a deeper understanding of functionality and key properties. This reveals trends such as increasing complexity and the utilization of centralized principles in several collaborative schedulers. Further, each scheduler is evaluated qualitatively to identify its objectives. Altogether this allows us to point out challenges in existing work and identify areas for future research, including fault tolerance, scalability, non-convergecast traffic patterns, and hybrid scheduling strategies.

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Section: Collaborative Schedulingmentioning

confidence: 99%