The β-factor

Srinivasan, Kannan; Kazandjieva, Maria A.; Agarwal, Saatvik; Levis, Philip

doi:10.1145/1460412.1460416

Cited by 219 publications

(8 citation statements)

References 20 publications

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“…Fig. 7a shows that the number of asymmetric links for a given IPI (equal to 1s) is greater than the number of asymmetric links for another IPI smaller than the first (equal to 0.5s), as it has been shown in [21]. On the other hand, Fig.…”

Section: Link Symmetrymentioning

confidence: 65%

“…Thus, traffic patterns that improve the accuracy of link asymmetry assessment are mandatory. In addition, as it has been observed in [21], the traffic Inter-packets Interval has a noticeable impact on channel characteristics. For that reason, it is important to understand the performance of LQEs for different traffic configurations/ patterns.…”

Section: Special-purpose Testbedsmentioning

confidence: 66%

“…There have been several empirical studies that have analyzed the characteristics of low-power links in WSNs [4,13,19,21,[28][29][30][31][32][33]. In this section, we show the potential of RadiaLE to efficiently and easily perform such empirical studies, and produces results that confirm the characteristics of low-power links in WSNs.…”

Section: Characterization Of Low-power Linksmentioning

confidence: 91%

“…In [21], it has been observed that the traffic Inter-Packets Interval (IPI) has a noticeable impact on channel characteristics. For that reason, it is important to understand the performance of LQEs for different traffic configurations.…”

Section: Link Measurements Collectionmentioning

confidence: 99%

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RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

et al. 2011

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a b s t r a c tStringent cost and energy constraints impose the use of low-cost and low-power radio transceivers in large-scale wireless sensor networks (WSNs). This fact, together with the harsh characteristics of the physical environment, requires a rigorous WSN design. Mechanisms for WSN deployment and topology control, MAC and routing, resource and mobility management, greatly depend on reliable link quality estimators (LQEs). This paper describes the RadiaLE framework, which enables the experimental assessment, design and optimization of LQEs. RadiaLE comprises (i) the hardware components of the WSN testbed and (ii) a software tool for setting-up and controlling the experiments, automating link measurements gathering through packets-statistics collection, and analyzing the collected data, allowing for LQEs evaluation. We also propose a methodology that allows (i) to properly set different types of links and different types of traffic, (ii) to collect rich link measurements, and (iii) to validate LQEs using a holistic and unified approach. To demonstrate the validity and usefulness of RadiaLE, we present two case studies: the characterization of low-power links and a comparison between six representative LQEs. We also extend the second study for evaluating the accuracy of the TOSSIM 2 channel model.

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Section: Link Symmetrymentioning

confidence: 65%

Section: Special-purpose Testbedsmentioning

confidence: 66%

Section: Characterization Of Low-power Linksmentioning

confidence: 91%

Section: Link Measurements Collectionmentioning

confidence: 99%

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RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

et al. 2011

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“…Thus, they may fail to provide end-to-end reliability, when e.g. packets are dropped in bursts [108]. Exploiting the average PDR for each radio link may not be sufficient to compute an efficient schedule.…”

Section: Limitationmentioning

confidence: 99%

Scheduling for IEEE802.15.4-TSCH and slow channel hopping MAC in low power industrial wireless networks: A survey

Hermeto

Gallais

Théoleyre

2017

Computer Communications

107

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The so-called Industrial Internet of Things (IIoT) is expected to transform our world, and in depth modernize very different domains such as manufacturing, energy, agriculture, construction industry, and other industrial sectors. The need for low power radio networks first led to low duty cycle approaches where nodes turn off their radio chipset most of the time to save energy. The medium access control (MAC) has thus been largely investigated over the last fifteen years. Unfortunately, classical contention access methods use a random access and are unable to provide guarantees. In the meantime, some dedicated standards have emerged (e.g. IEEE 802.15.4-2006, IEEE 802.15.4-2015), combining Time Division Multiple Access (TDMA) with slow channel hopping in order to enable reliability and energy efficiency. Slow channel hopping allows each node to use different channels for a frame and its possible retransmissions with a low-cost hardware. To provide high-reliability, these protocols rely on a common schedule in order to prevent simultaneously interfering transmissions. In this context, we clearly observe a strong growth of the number of proposals in the last years, denoting a strong interest of the research community for deterministic slow channel hopping scheduling for the IIoT. We categorize here the numerous existing solutions according to their objectives (e.g. high-reliability, mobility support) and approaches. We also identify some open challenges, expected to attract much attention over the next few years.

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Link Management

2016

Introduction to Wireless Sensor Networks

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The β-factor

Cited by 219 publications

References 20 publications

RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

Scheduling for IEEE802.15.4-TSCH and slow channel hopping MAC in low power industrial wireless networks: A survey

Link Management

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