ACK with Interference Detection Technique for ZigBee Network under Wi-Fi Interference

Wang, Zhipeng; Du, Tianyu; Tang, Yong; Makrakis, Dimitrios; Mouftah, Hussein T.

doi:10.1109/bwcca.2013.29

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…Then the WLAN part of the mediator starts to use the NAV to schedule the transmissions of the WLAN stations, so the ZigBee devices are not interfered. Wang et al [56] investigated the lost ACK packets at the detection stage. They found that the ACK packets caused by re-transmissions could be affected due to co-channel interference immediately after a packet transmission.…”

Section: A Two Separate Networkmentioning

confidence: 99%

“…Yuan in [58] Easy and fast to implement in a distributed manner The channel can be seized by the other nodes if the ED threshold does not decrease promptly Ndih in [59] Simple and efficient in mitigating the interference Need to modify the IEEE 802.15.4 and firmware Wang in [56] Easy and simple to implement The MAC delay increases due to RSSI readings Chen in [68] Simple to implement with the increased ZigBee throughput Decrease in WLAN throughput by 10% [16], [65] Effectively protect ZigBee from the WLAN interference The busy tone might consume high energy and the interactive process could increase the delay Hong in [60] Simple and efficient in mitigating interference Need a controller and increase energy consumption If the controller fails, the system breaks down Sangsoon in [66] Easy and simple to implement ZigBee consumes more energy…”

Section: Solutions Advantages Drawbacksmentioning

confidence: 99%

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Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review

et al. 2021

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More and more devices, such as Bluetooth and IEEE 802.15.4 devices forming Wireless Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local Area Networks (WLANs), share the 2.4 GHz Industrial, Scientific and Medical (ISM) band in the realm of the Internet of Things (IoT) and Smart Cities. However, the coexistence of these devices could pose a real challenge-co-channel interference that would severely compromise network performances. Although the coexistence issues has been partially discussed elsewhere in some articles, there is no single review that fully summarises and compares recent research outcomes and challenges of IEEE 802.15.4 networks, Bluetooth and WLANs together. In this work, we revisit and provide a comprehensive review on the coexistence and interference mitigation for those three types of networks. We summarize the strengths and weaknesses of the current methodologies, analysis and simulation models in terms of numerous important metrics such as the packet reception ratio, latency, scalability and energy efficiency. We discover that although Bluetooth and IEEE 802.15.4 networks are both WPANs, they show quite different performances in the presence of WLANs. IEEE 802.15.4 networks are adversely impacted by WLANs, whereas WLANs are interfered by Bluetooth. When IEEE 802.15.4 networks and Bluetooth co-locate, they are unlikely to harm each other. Finally, we also discuss the future research trends and challenges especially Deep-Learning and Reinforcement-Learning-based approaches to detecting and mitigating the cochannel interference caused by WPANs and WLANs.

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Section: A Two Separate Networkmentioning

confidence: 99%

Section: Solutions Advantages Drawbacksmentioning

confidence: 99%

Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review

et al. 2021

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“…Furthermore, the authors established a stochastic game-based model to characterize the interaction between autonomous M2M transmitter and receiver. Meanwhile, Chen et al, [7] A number of approaches pursued the medium access scheduling methodology include [8], [9], [10] to mitigate interference among the IEEE 802.11 and IEEE 802.15.4 [15], i.e., ZigBee, based devices. Wang et al, [8] proposed a new technique, namely, the Acknowledgement, denoted by ACK, with Interference Detection (ACK-ID), that reduces the ACK losses and consequently reduces ZigBee packet retransmissions due to the presence of collocated IEEE 802.11 wireless networks.…”

Section: Related Workmentioning

confidence: 99%

IoT-enabled Channel Selection approach for WBANs

Ali

Moungla

Younis

et al. 2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-Recent advances in microelectronics have enabled the realization of Wireless Body Area Networks (WBANs). However, the massive growth in wireless devices and the push for interconnecting these devices to form an Internet of Things (IoT) can be challenging for WBANs; hence robust communication is necessary through careful medium access arbitration. In this paper, we propose a new protocol to enable WBAN operation within an IoT. Basically, we leverage the emerging Bluetooth Low Energy technology (BLE) and promote the integration of a BLE transceiver and a Cognitive Radio module (CR) within the WBAN coordinator. Accordingly, a BLE informs WBANs through announcements about the frequency channels that are being used in their vicinity. To mitigate interference, the superframe's active period is extended to involve not only a Time Division Multiple Access (TDMA) frame, but also a Flexible Channel Selection (FCS) and a Flexible Backup TDMA (FBTDMA) frames. The WBAN sensors that experience interference on the default channel within the TDMA frame will eventually switch to another Interference Mitigation Channel (IMC). With the help of CR, an IMC is selected for a WBAN and each interfering sensor will be allocated a time-slot within the (FBTDMA) frame to retransmit using such IMC.

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“…The threshold is used to detect channel availability. The method to improve throughput by adjusting the timing of ACK transmission was proposed in [12]. In the method proposed in [13], the header and payload of the frame is duplicated.…”

Section: Introductionmentioning

confidence: 99%

A Performance Study of ZigBee Network under Wi-Fi Interference

Nomura

Sato

2014

2014 17th International Conference on Network-Based Information Systems

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Sensor networks using ZigBee are vulnerable to interference with Wi-Fi because ZigBee and Wi-Fi use the same frequency band. Other studies have measured the performance in an environment where Wi-Fi and ZigBee coexist, and some methods have been proposed to reduce the effect of interference by changing the timing of ACK and MAC parameters. However, conventional methods are not easy to implement. In this paper, we provide a performance study of a ZigBee network under Wi-Fi interference. First, we investigate the coexistence of the WLAN (IEEE 802.11g) standard with the ZigBee (IEEE 802.15.4) standard. As a result, by inserting a time interval between Wi-Fi packets, the arrival rate of ZigBee was improved. In addition, the estimation of interference was possible by measuring the relationship between values of the Wi-Fi RSSI with the packet loss rate of WiFi. From the results, we found that the performance of ZigBee networks is improved by the detection of interference and the insertion of a time interval between the packets of Wi-Fi communication.

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ACK with Interference Detection Technique for ZigBee Network under Wi-Fi Interference

Cited by 10 publications

References 11 publications

Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review

Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review

IoT-enabled Channel Selection approach for WBANs

A Performance Study of ZigBee Network under Wi-Fi Interference

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