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DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence

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DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence. / King, Alex; Brown, James; Roedig, Utz.
2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2014. p. 45-50.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

King, A, Brown, J & Roedig, U 2014, DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence. in 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, pp. 45-50. https://doi.org/10.1109/WiMOB.2014.6962148

APA

King, A., Brown, J., & Roedig, U. (2014). DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence. In 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 45-50). IEEE. https://doi.org/10.1109/WiMOB.2014.6962148

Vancouver

King A, Brown J, Roedig U. DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence. In 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE. 2014. p. 45-50 doi: 10.1109/WiMOB.2014.6962148

Author

King, Alex ; Brown, James ; Roedig, Utz. / DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence. 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2014. pp. 45-50

Bibtex

@inproceedings{0bf78d99c04b48c99ca0ec37d6a106fe,
title = "DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence",
abstract = "The interaction between devices sharing the same frequency domain, but using different communication protocols, is an important issue prevalent to the Internet of Things (IoT). IEEE 802.11 and IEEE 802.15.4, protocols that overlap in applications such as home automation, health care and factory automation, is one such example. In these situations 802.11 networks are known to detrimentally interfere with 802.15.4 networks, degrading performance significantly. We show that the response to unsuccessful Clear Channel Assessments (CCA) is a large contributor to this degradation. Current responses do not distinguish between different transmission sources, employing the same response independent of the interferer type. However, as we show in this paper, it is beneficial to discriminate interferer types when performing CCA as this allows us to employ different strategies in handling occupied media. Our work considers in particular the low-power Medium Access Control (MAC) protocols based on the 802.15.4 standard. In such protocols, CCA is applied at the transmitter to arbitrate channel access, and also at the receiver for power efficient transmission detection. We present a protocol building block called Differentiating Clear Channel Assessment (DCCA) which allows us to tailor the reaction to a busy channel depending on the nature of the interfering network type. We evaluate an implementation of DCCA for the ContikiMAC protocol on the Maxfor MTM-CM5000MSP platform. The experimental evaluation shows that DCCA improves throughput of 802.15.4 networks in the presence of 802.11 networks significantly, ten-fold in some settings.",
keywords = "Internet of Things, Zigbee, access protocols, radio receivers, radio transmitters, radiofrequency interference, wireless LAN, wireless channels, CCA, ContikiMAC protocol, DCCA, IEEE 802.11 networks, IEEE 802.15.4, networks, IoT, Maxfor MTM- CM5000MSP platform, communication protocols, differentiating clear channel assessment, frequency domain, interfering network, low-power medium access control, power efficient transmission detection, protocol building block, receiver, transmitter, IEEE 802.11 Standards, IEEE 802.15 Standards, Interference, Media Access Protocol, Receivers, Transceivers, 802.15.4, WiFi, Wireless Sensor Networks",
author = "Alex King and James Brown and Utz Roedig",
year = "2014",
month = oct,
day = "1",
doi = "10.1109/WiMOB.2014.6962148",
language = "English",
pages = "45--50",
booktitle = "2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - DCCA: Differentiating Clear Channel Assessment for improved 802.11/802.15.4 coexistence

AU - King, Alex

AU - Brown, James

AU - Roedig, Utz

PY - 2014/10/1

Y1 - 2014/10/1

N2 - The interaction between devices sharing the same frequency domain, but using different communication protocols, is an important issue prevalent to the Internet of Things (IoT). IEEE 802.11 and IEEE 802.15.4, protocols that overlap in applications such as home automation, health care and factory automation, is one such example. In these situations 802.11 networks are known to detrimentally interfere with 802.15.4 networks, degrading performance significantly. We show that the response to unsuccessful Clear Channel Assessments (CCA) is a large contributor to this degradation. Current responses do not distinguish between different transmission sources, employing the same response independent of the interferer type. However, as we show in this paper, it is beneficial to discriminate interferer types when performing CCA as this allows us to employ different strategies in handling occupied media. Our work considers in particular the low-power Medium Access Control (MAC) protocols based on the 802.15.4 standard. In such protocols, CCA is applied at the transmitter to arbitrate channel access, and also at the receiver for power efficient transmission detection. We present a protocol building block called Differentiating Clear Channel Assessment (DCCA) which allows us to tailor the reaction to a busy channel depending on the nature of the interfering network type. We evaluate an implementation of DCCA for the ContikiMAC protocol on the Maxfor MTM-CM5000MSP platform. The experimental evaluation shows that DCCA improves throughput of 802.15.4 networks in the presence of 802.11 networks significantly, ten-fold in some settings.

AB - The interaction between devices sharing the same frequency domain, but using different communication protocols, is an important issue prevalent to the Internet of Things (IoT). IEEE 802.11 and IEEE 802.15.4, protocols that overlap in applications such as home automation, health care and factory automation, is one such example. In these situations 802.11 networks are known to detrimentally interfere with 802.15.4 networks, degrading performance significantly. We show that the response to unsuccessful Clear Channel Assessments (CCA) is a large contributor to this degradation. Current responses do not distinguish between different transmission sources, employing the same response independent of the interferer type. However, as we show in this paper, it is beneficial to discriminate interferer types when performing CCA as this allows us to employ different strategies in handling occupied media. Our work considers in particular the low-power Medium Access Control (MAC) protocols based on the 802.15.4 standard. In such protocols, CCA is applied at the transmitter to arbitrate channel access, and also at the receiver for power efficient transmission detection. We present a protocol building block called Differentiating Clear Channel Assessment (DCCA) which allows us to tailor the reaction to a busy channel depending on the nature of the interfering network type. We evaluate an implementation of DCCA for the ContikiMAC protocol on the Maxfor MTM-CM5000MSP platform. The experimental evaluation shows that DCCA improves throughput of 802.15.4 networks in the presence of 802.11 networks significantly, ten-fold in some settings.

KW - Internet of Things

KW - Zigbee

KW - access protocols

KW - radio receivers

KW - radio transmitters

KW - radiofrequency interference

KW - wireless LAN

KW - wireless channels

KW - CCA

KW - ContikiMAC protocol

KW - DCCA

KW - IEEE 802.11 networks

KW - IEEE 802.15.4, networks

KW - IoT

KW - Maxfor MTM- CM5000MSP platform

KW - communication protocols

KW - differentiating clear channel assessment

KW - frequency domain

KW - interfering network

KW - low-power medium access control

KW - power efficient transmission detection

KW - protocol building block

KW - receiver

KW - transmitter

KW - IEEE 802.11 Standards

KW - IEEE 802.15 Standards

KW - Interference

KW - Media Access Protocol

KW - Receivers

KW - Transceivers

KW - 802.15.4

KW - WiFi

KW - Wireless Sensor Networks

U2 - 10.1109/WiMOB.2014.6962148

DO - 10.1109/WiMOB.2014.6962148

M3 - Conference contribution/Paper

SP - 45

EP - 50

BT - 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

PB - IEEE

ER -