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Towards Interference-Aware ZigBee Transmissions in Heterogeneous Wireless Networks

Sangsoon Lim1, Sanghyun Seo2,*

1 Department of Computer Engineering, Sungkyul University, Anyang, South Korea
2 School of Computer Art, Chung-ang University, Anseong, South Korea

* Corresponding Author: Sanghyun Seo. Email: email

Computers, Materials & Continua 2021, 66(1), 751-765. https://doi.org/10.32604/cmc.2020.013430

Abstract

Cross-technology interference (CTI) from diverse wireless networks such as ZigBee, Bluetooth, and Wi-Fi has become a severe problem in the 2.4 GHz Industrial Scientific and Medical (ISM) band. Especially, low power and lossy networks are vulnerable to the signal interferences from other aggressive wireless networks when they perform low power operations to conserve the energy consumption. This paper presents CoSense, which accurately detects ZigBee signals with a reliable signal correlation scheme in the presence of the CTI. The key concept of CoSense is to reduce false wake-ups of low power listening (LPL) by identifying the pre-defined ZigBee signatures. Our scheme is robust in the coexistence environment of diverse wireless technologies since the signal correlation works well in bad wireless channel conditions. It achieves standard compliance and transparency without any hardware and firmware changes. We have implemented CoSense on the Universal Software Radio Peripheral (USRP) platform to verify its feasibility. The experimental exploration reveals that CoSense significantly reduces the false-positive and false-negative rate under typical setting and the additional overhead is negligible. The results show that our scheme saves much energy by up to 63% in dynamic network interference scenarios where low-power ZigBee transmissions are overwhelmed by strong Wi-Fi signal interferences.

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Cite This Article

S. Lim and S. Seo, "Towards interference-aware zigbee transmissions in heterogeneous wireless networks," Computers, Materials & Continua, vol. 66, no.1, pp. 751–765, 2021.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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