On Efficient Clock Drift Prediction Means and their Applicability to IEEE 802.15.4

Brzozowski, Marcin; Salomon, Hendrik; Langendoerfer, Peter

doi:10.1109/euc.2010.39

Cited by 5 publications

(9 citation statements)

References 10 publications

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“…With common solutions to the drift problem, they need guard times of 2.4 ms. As MADC reduces idle listening, it saves energy and prolongs the lifetime. Our evaluation revealed that nodes with the IEEE 802.15.4 MAC work longer by 5% and more owing to the MADC approach (see details in [26]). Owing to its simplicity, MADC can be easily applied to sensor nodes, as it does not need the floating-point arithmetic.…”

Section: Preamble Sampling/cycledmentioning

confidence: 86%

“…In [26] we introduced the estimation of guard times based on the moving average filter, referred to as MADC (moving average drift compensation). Based on previous drift samples, nodes predict future drift and can use short guard times.…”

Section: Preamble Sampling/cycledmentioning

confidence: 99%

“…That is, receivers may wake up too late because of clock drift and miss frames. To counter this threat, LETED applies the solution based on drift prediction introduced in our previous work [26], referred to as MADC (moving average drift compensation). In short, nodes estimate run-time drift to neighbors by applying the moving average filter.…”

Section: Guard Timesmentioning

confidence: 99%

“…As nodes send data during active slots only, the total tx energy is estimated as E tx slots = N active · t frame · I tx + E startup + E shutdown , (26) where I tx is the transceiver current consumption while sending data, E startup and E shutdown energy consumed to power up and down the transceiver. The expected frame length t frame in time units is calculated as follows:…”

Section: Leted Energy Consumption Leted Consumesmentioning

confidence: 99%

“…In this scenario nodes apply the solution to guard times based on drift prediction introduced in our previous work [26].…”

mentioning

confidence: 99%

See 4 more Smart Citations

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Brzozowski

Salomon

Langendoerfer

2012

International Journal of Distributed Sensor Networks

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This work addresses a tough challenge of achieving two opposing goals: ensuring long lifetimes and supporting short end-to-end delays in sensor networks. Obviously, sensor nodes must wake up often to support short delays in multi-hop networks. As event occurs seldom in common applications, most wake-up are useless: nodes waste energy due to idle listening. We introduce a set of solutions, referred to as LETED (limiting end-to-end delays), which shorten the wake-up periods, reduce idle listening, and save energy. We exploit hardware features of available transceivers that allow early detection of idle wake-up periods. This feature is introduced on top of our approach to reduce idle listening stemming from clock drift owing to the estimation of run-time drift. To evaluate LETED and other MAC protocols that support short end-to-end delays we present an analytical model, which considers almost 30 hardware and software parameters. Our evaluation revealed that LETED reduces idle listening by 15x and more against similar solutions. Also, LETED outperforms other protocols and provides significant longer lifetimes. For example, nodes with LETED work 8x longer than those with a common TDMA and 2x-3x longer than with protocols based on preamble sampling, like B-MAC.

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Section: Preamble Sampling/cycledmentioning

confidence: 86%

Section: Preamble Sampling/cycledmentioning

confidence: 99%

Section: Guard Timesmentioning

confidence: 99%

Section: Leted Energy Consumption Leted Consumesmentioning

confidence: 99%

“…In this scenario nodes apply the solution to guard times based on drift prediction introduced in our previous work [26].…”

mentioning

confidence: 99%

See 3 more Smart Citations

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Brzozowski

Salomon

Langendoerfer

2012

International Journal of Distributed Sensor Networks

Self Cite

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Wireless Sensor Networks: A Key Enabling Technology for Remote Healthcare

Ortmann

Langendoerfer

Brzozowski

et al. 2013

Systems Design for Remote Healthcare

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Adaptive Guard Time for Energy-Efficient IEEE 802.15.4 TSCH Networks

Mavromatis

Papadopoulos

Elsts

et al. 2019

Lecture Notes in Computer Science

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Several Internet of Things (IoT) applications have strict performance requirements, in terms of reliability and power consumption. IEEE 802.15.4 Time Slotted Channel Hopping (TSCH) is a recently standardised Medium Access Control (MAC) protocol that supports these requirements by keeping the nodes time-synchronised. In order to ensure successful communication between a sender and a receiver, the latter starts listening shortly before the expected frame's arrival. This time offset is called guard time and it aims to reduce the probability of missed frames due to clock drift. This paper investigates the impact of the guard time on the energy consumption and proposes a scheme for the decentralised adaptation of the guard time in each node depending on its hopdistance from the sink. Simulations and test-bed experiments demonstrate that guard time adaptation can reduce the energy consumption by up to 50%, without compromising the reliability of the network.

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On Efficient Clock Drift Prediction Means and their Applicability to IEEE 802.15.4

Cited by 5 publications

References 10 publications

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Wireless Sensor Networks: A Key Enabling Technology for Remote Healthcare

Adaptive Guard Time for Energy-Efficient IEEE 802.15.4 TSCH Networks

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