Harmful Coexistence Between 802.15.4 and 802.11: A Measurement-based Study

Pollin, Sofie; Tan, Ian L.; Hodge, B.; Chun, C.; Bahai, A.

doi:10.1109/crowncom.2008.4562460

Cited by 118 publications

(87 citation statements)

References 3 publications

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“…Measurement studies have shown mutual degradation of 802.11b and 802.15.4, with throughput degradation for 802.11 of up to 80% [31] and Wi-Fi interfering with Bluetooth despite the use of Frequency Hopping Spread Spectrum (FHSS) [30]. As existing research is heavily focused on coexistence in the 2.4GHz band, little is known about the effects of coexisting wireless networks in Sub-1Ghz frequency bands.…”

Section: Uncoordinated Coexistence Improvements For Lpwan Technologiesmentioning

confidence: 99%

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Poorter

Hoebeke

Strobbe

et al. 2017

Wireless Pers Commun

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Abstract. The IoT domain is characterized by many applications that require lowbandwidth communications over a long range, at a low cost and at low power. LPWANs (Low Power Wide Area Networks) fulfill these requirements by using sub-GHz radio frequencies (typically 433 or 868 MHz) with typical transmission ranges in the order of 1 up to 50 kilometers. As a result, a single base station can cover large areas and can support high numbers of connected devices (> 1000 per base station). Notorious initiatives in this domain are LoRa, Sigfox and the upcoming IEEE 802.11ah (or "HaLow") standard. Although these new technologies have the potential to significantly impact many IoT deployments, the current market is very fragmented and many challenges exists related to deployment, scalability, management and coexistence aspects, making adoption of these technologies difficult for many companies. To remedy this, this paper proposes a conceptual framework to improve the performance of LPWAN networks through in-network optimization, cross-technology coexistence and cooperation and virtualization of management functions. In addition, the paper gives an overview of state of the art solutions and identifies open challenges for each of these aspects.

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Section: Uncoordinated Coexistence Improvements For Lpwan Technologiesmentioning

confidence: 99%

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Poorter

Hoebeke

Strobbe

et al. 2017

Wireless Pers Commun

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“…Background wireless noise can be caused by various non-802.11 coexisting network types such as Bluetooth or Zigbee [7]. There are also many other sources of interference which may arise from non data communications devices such as microwave ovens and cordless phones [8].…”

Section: ) Background Interferencementioning

confidence: 99%

Measuring the reliability of 802.11 WiFi networks

Murray

Koziniec

Dixon

et al. 2015

2015 Internet Technologies and Applications (ITA)

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Abstract-Over half of the transmission time in WiFi networks is dedicated to ensuring that errors are corrected or detected. Despite these mechanisms, many studies have concluded that frame error rates vary. An increased understanding of why frames are lost is a pragmatic approach to improving real world 802.11 throughput. The potential beneficiaries of this research, include rate control algorithms, Modulation and Coding Schemes, simulation models, frame size selection and 802.11 configuration guidelines. This paper presents a measurement study of the factors which correlate with packet loss in 802.11 WiFi. Both passive and active approaches were used to investigate how the frame size, modulation and coding scheme and airtime effect the loss rate. Overall, packet errors were high. The size of frames were not a major determinant of the loss rate. The loss rate decreased as the airtime of transmissions reduced but at substantially lower rates than those suggested in simple packet error models. Future work will further try to isolate and investigate specific errors, such as head on collisions in the preamble.

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“…The simplicity of the energy based CCA means that it could possibly detect other technologies, but in the case of Wi-Fi and ZigBee the different bandwidths and transmission levels mean that ZigBee will be overly sensitive to Wi-Fi, while Wi-Fi will be less sensitive to ZigBee. Theoretical analysis and experiments [1] confirm that both technologies indeed suffer severe throughput degradation when interfering -up to 80% depending on the exact configuration -so this energy based CCA is clearly not sufficient. Therefore a new technique is required to improve coexistence.…”

Section: Coexi Stence Aware CL Ear Channel Assessmentmentioning

confidence: 99%

Coexistence Aware Clear Channel Assessment

Valck

Tytgat

Moerman

et al. 2013

Lecture Notes in Computer Science

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Abstract. Wireless sensor networks are used by an ever growing number of applications which have ever increasing Quality of Service requirements. The available unlicensed industrial scientific and medical bands -where wireless sensor networks typically operate -are crowded with a number of technologies interfering with each other. Delivering a sufficiently high QoS within these frequency bands is therefore becoming more and more difficult. A theoretic concept named Coexistence Aware Clear Channel Assessment (CACCA) promises more reliable QoS when different technologies utilize the same. Within this paper we propose two methods to perform CACCA and create an SDR prototype to show that CACCA can achieve a high packet error rate reduction in an IEEE 802.15.4 network when it coexists with IEEE 802.11.

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Harmful Coexistence Between 802.15.4 and 802.11: A Measurement-based Study

Cited by 118 publications

References 3 publications

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Measuring the reliability of 802.11 WiFi networks

Coexistence Aware Clear Channel Assessment

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