Enhancing ZigBee throughput under WiFi interference using real-time adaptive coding

Guo, Peng; Cao, Jiannong; Kui, Zhang; Li, Xuefeng

doi:10.1109/infocom.2014.6848236

Cited by 27 publications

(14 citation statements)

References 13 publications

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“…There are basically two kinds of approaches: partial retransmission (e.g., [7]- [9]), and forward error correction (FEC) (e.g., [10]- [12]). In the partial retransmission approach, a data payload is divided into several small blocks, which are then transmitted in one packet.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, existing works consider burstiness harmful for error recovery. To deal with burstiness, most of these works first use interleaving to reshape the bursty errors before applying RS/BCH codes [10], [12]. Unfortunately, such methods may still lead to substantial reduction in throughput due to the high decoding delay.…”

Section: Introductionmentioning

confidence: 99%

“…Take RAT [12] as an example, when a packet payload is divided into 12 blocks, 24 CRC bytes will be required. In order to reduce the overhead, we sample fine-grained RSSI values during packet reception.…”

Section: Introductionmentioning

confidence: 99%

“…We then incorporate it into an existing routing protocol CTP [18] and compare its performance with the state-of-the-art works [7], [11], [12], [17]. We conduct both trace-driven and testbed experiments, and the results demonstrate that ZiXOR provides real-time forward error recovery with nearly no overhead (less than 1ms delay).…”

Section: Introductionmentioning

confidence: 99%

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Embracing Corruption Burstiness: Fast Error Recovery for ZigBee under Wi-Fi Interference

Zhao

Dong

Chen

et al. 2017

IEEE Trans. on Mobile Comput.

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Abstract-The ZigBee communication can be easily and severely interfered by Wi-Fi traffic. Error recovery, as an important means for ZigBee to survive Wi-Fi interference, has been extensively studied in recent years. The existing works add upfront redundancy to in-packet blocks for recovering a certain number of random corruptions. Therefore the bursty nature of ZigBee in-packet corruptions under Wi-Fi interference is often considered harmful, since some blocks are full of errors which cannot be recovered and some blocks have no errors but still requiring redundancy. As a result, they often use interleaving to reshape the bursty errors, before applying complex FEC codes to recover the re-shaped random distributed errors. In this paper, we take a different view that burstiness may be helpful. With burstiness, the in-packet corruptions are often consecutive and the requirement for error recovery is reduced as "recovering any k consecutive errors" instead of "recovering any random k errors". This lowered requirement allows us to design far more efficient code than the existing FEC codes. Motivated by this implication, we exploit the corruption burstiness to design a simple yet effective error recovery code using XOR operations (called ZiXOR). ZiXOR uses XOR code and the delay is significantly reduced. More, ZiXOR uses RSSI-hinted approach to detect in packet corruptions without CRC, incurring almost no extra transmission overhead. The testbed evaluation results show that ZiXOR outperforms the state-of-the-art works in terms of the throughput (by 47%) and latency (by 22%).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Embracing Corruption Burstiness: Fast Error Recovery for ZigBee under Wi-Fi Interference

Zhao

Dong

Chen

et al. 2017

IEEE Trans. on Mobile Comput.

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“…CTI severely reduces the Signal-to-Interference-plus-Noise Ratio (SINR) of the intended transmission, which results in high bit-error rates and limits the effectiveness of these techniques. Most CTI interferers leave the channel recurrently idle for short times [3], [5]. This pattern results in partial overlap with transmitted 802.15.4 packets.…”

Section: Introductionmentioning

confidence: 99%

CrossZig: Combating Cross-Technology Interference in Low-Power Wireless Networks

Hithnawi

Shafagh

et al. 2016

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

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International audience—Low-power wireless devices suffer notoriously from Cross-Technology Interference (CTI). To enable coexistence , researchers have proposed a variety of interference mitigation strategies. Existing solutions, however, are designed to work with the limitations of currently available radio chips. In this paper, we investigate how to exploit physical layer properties of 802.15.4 signals to better address CTI. We present CrossZig, a cross-layer solution that takes advantage of physical layer information and processing to improve low-power communication under CTI. To this end, CrossZig utilizes physical layer information to detect presence of CTI in a corrupted packet and to apply an adaptive packet recovery which incorporates a novel cross-layer based packet merging and an adaptive FEC coding. We implement a prototype of CrossZig for the low-power IEEE 802.15.4 in a software-defined radio platform. We show the adaptability and the performance gain of CrossZig through experimental evaluation considering both micro-benchmarking and system performance under various interference patterns. Our results demonstrate that CrossZig can achieve a high accuracy in error localization (94.3% accuracy) and interference type identification (less than 5% error rate for SINR ranges below 3 dB). Moreover, our system shows consistent performance improvements under interference from various interfering technologies

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Cross-Technology Interference Mitigation for Wearable Devices

Chang

Chen

et al. 2023

Lecture Notes in Electrical Engineering

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Enhancing ZigBee throughput under WiFi interference using real-time adaptive coding

Cited by 27 publications

References 13 publications

Embracing Corruption Burstiness: Fast Error Recovery for ZigBee under Wi-Fi Interference

Embracing Corruption Burstiness: Fast Error Recovery for ZigBee under Wi-Fi Interference

CrossZig: Combating Cross-Technology Interference in Low-Power Wireless Networks

Cross-Technology Interference Mitigation for Wearable Devices

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