On the (over)-Reactions and the Stability of a 6TiSCH Network in an Indoor Environment

Hermeto, Rodrigo Teles; Gallais, Antoine; Théoleyre, Fabrice

doi:10.1145/3242102.3242104

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…Teles Hermeto et al [ 23 ] execute a performance evaluation of the 6TiSCH protocol stack in an indoor environment with a focus on the stability of the stack performance. They report the end-to-end reliability and the number of parent changes as the network is converging.…”

Section: Related Workmentioning

confidence: 99%

No Free Lunch—Characterizing the Performance of 6TiSCH When Using Different Physical Layers

Rady

Lampin

Barthel

et al. 2020

Sensors

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Low-power wireless applications require different trade-off points between latency, reliability, data rate and power consumption. Given such a set of constraints, which physical layer should I be using? We study this question in the context of 6TiSCH, a state-of-the-art recently standardized protocol stack developed for harsh industrial applications. Specifically, we augment OpenWSN, the reference 6TiSCH open-source implementation, to support one of three physical layers from the IEEE802.15.4g standard: FSK 868 MHz which offers long range, OFDM 868 MHz which offers high data rate, and O-QPSK 2.4 GHz which offers more balanced performance. We run the resulting firmware on the 42-mote OpenTestbed deployed in an office environment, once for each physical layer. Performance results show that, indeed, no physical layer outperforms the other for all metrics. This article argues for combining the physical layers, rather than choosing one, in a generalized 6TiSCH architecture in which technology-agile radio chips (of which there are now many) are driven by a protocol stack which chooses the most appropriate physical layer on a frame-by-frame basis.

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Section: Related Workmentioning

confidence: 99%

No Free Lunch—Characterizing the Performance of 6TiSCH When Using Different Physical Layers

Rady

Lampin

Barthel

et al. 2020

Sensors

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“…The ad-hoc nature of the approach avoids being dependent on cellular coverage, but its highly dynamic nodes add significant complexity. RPL has turned out to over-react to link quality changes, adding instability and disturbing the convergence of the SF [31]. In that sense, RPL and the SF have to be modified to make them compatible with a dynamic environment.…”

Section: A Continuous Athlete Monitoringmentioning

confidence: 99%

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Municio

Daneels

Brouwer

et al. 2019

IEEE Internet Things J.

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IoT-based solutions for sport analytics aim to improve performance, coaching and strategic insights. These factors are especially relevant in cycling, where real-time data should be available anytime, anywhere, even in remote areas where there are no infrastructure-based communication technologies (e.g. LTE, Wi-Fi). In this paper, we present an experience report on the use of state-of-the-art IoT technologies in cycling, where a group of cyclists can form a reliable and energy efficient mesh network to collect and process sensor data in real-time, such as heart rate, speed and location. This data is analyzed in real-time to estimate the performance of each rider and derive instantaneous feedback. Our solution is the first to combine a local body area network to gather the sensor data from the cyclist and a 6TiSCH network to form a multi-hop long-range wireless sensor network in order to provide each bicycle with connectivity to the sink (e.g. a moving car following the cyclists). In this work we present a detailed technical description of this solution, describing its requirements, options and technical challenges. In order to assess such a deployment, we present a large publicly available data-set from different real-world cycling scenarios (mountain road cycle racing and cyclo-cross) which characterizes the performance of the approach, demonstrating its feasibility and evidencing its relevance and promising possibilities in a cycling context for providing low-power communication with reliable performance.

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“…Since this reservation requires a large number of control packets, the convergence may be quite long, i.e. a few minutes in some cases, with possibly oscillations [21]. We are convinced that multiple anycast paths would make the routes much more robust and fault tolerant, while avoiding heavy reconfiguration costs (i.e.…”

Section: A Limits Of Unicast Communicationsmentioning

confidence: 96%

“…For instance, with a 60% Packet Error Rate, the transmitter has to transmit on average 3 packets before switching to the novel list. Since we consider stable conditions [21], this list is seldom changed, limiting the overhead.…”

Section: A Reliable Parent Set Notificationmentioning

confidence: 99%

Is Link-Layer Anycast Scheduling Relevant for IEEE 802.15.4-TSCH Networks?

Hermeto¹,

Gallais²,

Théoleyre³

2019

2019 IEEE 44th LCN Symposium on Emerging Topics in Networking (LCN Symposium)

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On the (over)-Reactions and the Stability of a 6TiSCH Network in an Indoor Environment

Cited by 10 publications

References 19 publications

No Free Lunch—Characterizing the Performance of 6TiSCH When Using Different Physical Layers

No Free Lunch—Characterizing the Performance of 6TiSCH When Using Different Physical Layers

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Is Link-Layer Anycast Scheduling Relevant for IEEE 802.15.4-TSCH Networks?

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