The β-factor: measuring wireless link burstiness
By Kannan Srinivasan, Maria A. Kazandjieva, Saatvik Agarwal, P. Levis. ACM International Conference on Embedded Networked Sensor Systems, 2008
334 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a5256a5df01016e14dd5973d39a7d1b3289acd11
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Anis Koubaa
- Luca Mottola
- Gang Zhou
- P. Levis
- Omprakash Gnawali
- Kannan Srinivasan
- Guoliang Xing
- Yunhao Liu
In Electrical and Electronic Engineering
- Yunhao Liu
- Kyle Jamieson
- Gang Zhou
- Guoliang Xing
- P. Levis
- Mo Li
- Aruna Devi Balasubramanian
- Prabal Dutta
Citations in the corpus
- An empirical study of low-power wireless (2010, background): “The same work presents a way to derive the duration of correlated reception from ß. Protocols can choose backoffs based on such metrics and reduce transmission costs: setting CTP s backoff based on ß reduced the average transmission cost by 15% [Srinivasan et al. 2008].”
- Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance (2010, background): “It significantly improves the throughput of bursty links by transmitting back-to-back packets and controlling the backoff delay when a failure occurs [ 16 ].”
- Collection tree protocol (2009, background): “There are temporal variations in the signal-to-noise ratio: this suggests that low-power link layers should consider the effects of link burstiness [29].”
- Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs (2011, background): “The study of beta-factor [24] presents a comprehensive study to quantify and characterize link burstiness.”
- Augmenting mobile 3G using WiFi (2010, background): “In addition, when a packet is lost, there is a high chance that the retransmission will fail, since losses are bursty in the vehicular environment [2,22].”
- Surviving wi-fi interference in low power ZigBee networks (2010, background): “This result is supported by multiple previous studies that have shown that 15.4 performance significantly degrades in the presence of 802.11 interference [6, 18, 25 , 28].”
- Radio link quality estimation in wireless sensor networks (2012, background): “…real-world measurements with different platforms, under varying experimental conditions, assumptions, and scenarios [Cerpa et al. 2003, 2005b]; [Srinivasan et al. 2008, 2010a]; [Zhao and Govindan 2003; Ganesan et al. 2002; Lal et al. 2003; Zhou et al. 2004; Srinivasan and Levis 2006b; Son et…”
- Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads (2012, background): “There are also domain-specific metrics, such as for bursty packet loss on wireless links [47].”