2021
DOI: 10.1016/j.adhoc.2020.102330
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Adaptive multi-PHY IEEE802.15.4 TSCH in sub-GHz industrial wireless networks

Abstract: To provide wireless coverage in challenging industrial environments, IEEE802.15.4 Time-Slotted Channel Hopping (TSCH) presents a robust medium access protocol. Using multiple Physical Layers (PHYs) could improve TSCH even more in these heterogeneous environments. However, TSCH only defines one fixed-duration timeslot structure allowing one packet transmission. Using multiple PHYs with various data rates therefore does not yield any improvements because of this single-packet limitation combined with a fixed slo… Show more

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Cited by 14 publications
(18 citation statements)
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“…The proposal by Van Leemput et al [20] is the state-of-the-art in multi-PHY integration in TSCH networking. The authors propose using slower PHYs for unicast links in case the Received Signal Strength Indicator (RSSI) is persistently below a certain threshold.…”
Section: Related Workmentioning
confidence: 99%
“…The proposal by Van Leemput et al [20] is the state-of-the-art in multi-PHY integration in TSCH networking. The authors propose using slower PHYs for unicast links in case the Received Signal Strength Indicator (RSSI) is persistently below a certain threshold.…”
Section: Related Workmentioning
confidence: 99%
“…While how to exactly integrate the different modulations in TSCH is not discussed, the proposed policies should be considered as PHY selection mechanisms that can be applied on top of our slot bonding approach. Another recent interesting approach is presented by Van Leemput et al, who take into account the different data rates possible for different PHYs [ 4 ]. The authors defined two alternative timeslot structures allowing multiple packet transmissions to increase the throughput for higher data rate PHYs while maintaining a fixed slot duration.…”
Section: Related Workmentioning
confidence: 99%
“…When no transmission attempts are available for a certain possible parent, a default ETX value can be chosen (e.g., representing an average link quality). In this case, where link reliability is learned over time and a node has to find a fast and reliable PHY for the current preferred parent (as proposed in Algorithm 1), a node can apply a Link Quality Estimation (LQE) technique as proposed by Van Leemput et al to iterate through the different PHYs [ 4 ]. The necessary score values of possible parents can be distributed throughout the network using the Metric Container option in RPL DIO messages, similar to the metrics distributed for the MRHOF OF [ 19 , 21 ].…”
Section: Parent and Phy Selection Heuristicmentioning
confidence: 99%
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