Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Azmi, Noraini; Kamarudin, Latifah Munirah; Mahmuddin, Massudi; Zakaria, A.; Shakaff, Ali Yeon Md; Khatun, Sabira; Kamarudin, Kamarulzaman; Morshed, M. N.

doi:10.1109/iced.2014.7015839

Cited by 49 publications

(26 citation statements)

References 27 publications

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“…It is being used by variety of devices for short range communication. Some example include data transferring between mobiles, laptops and tablets [20]. Bluetooth operates in 2.4 GHz frequency band with 76 distinct channels, each 1MHz wide.…”

Section: Ism Band Technologiesmentioning

confidence: 99%

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Machine learning based lightweight interference mitigation scheme for wireless sensor network

et al. 2020

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The interference issue is most vibrant on low-powered networks like wireless sensor network (WSN). In some cases, the heavy interference on WSN from different technologies and devices result in life threatening situations. In this paper, a machine learning (ML) based lightweight interference mitigation scheme for WSN is proposed. The scheme detects and identifies heterogeneous interference like Wifi, bluetooth and microwave oven using a lightweight feature extraction method and ML lightweight decision tree. It also provides WSN an adaptive interference mitigation solution by helping to choose packet scheduling, Acknowledgement (ACK)-retransmission or channel switching as the best countermeasure. The scheme is simulated with test data to evaluate the accuracy performance and the memory consumption. Evaluation of the proposed scheme's memory profile shows a 14% memory saving compared to a fast fourier transform (FFT) based periodicity estimation technique and 3% less memory compared to logistic regression-based ML model, hence proving the scheme is lightweight. The validation test shows the scheme has a high accuracy at 95.24%. It shows a precision of 100% in detecting WiFi and microwave oven interference while a 90% precision in detecting bluetooth interference.

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Section: Ism Band Technologiesmentioning

confidence: 99%

“…In IEEE802.11 standard, the carrier sense multiple access (CSMA) and CSMA/CA algorithm are used to tacle coexistence interference [20]. However, a study by Huang et al [21] shows that the due to the bursty nature of the WiFi, CSMA scheme is not able to completely use the WiFi white spaces (unused spaces between Wi Fi frames).…”

Section: Ism Band Technologiesmentioning

confidence: 99%

Machine learning based lightweight interference mitigation scheme for wireless sensor network

et al. 2020

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“…Some phones use Direct Sequence Spread Spectrum (DSSS), while others use FHSS, and use a channel bandwidth of 5 ∼ 10 MHz. Due to its wider channel and higher power, the cordless phone can completely stop a WiFi network, as well as ZigBee [19]. As a result, the coexistence between cordless phone and other network is an open challenge.…”

Section: The Impact Of Other Interference Sourcesmentioning

confidence: 99%

Coexist WiFi for ZigBee Networks With Fine-Grained Frequency Approach

Yan

Yang

et al. 2019

IEEE Access

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The widely deployed WiFi APs and ZigBee devices make the coexistence for these two networks more pervasive than ever. Previous solutions focus on the contention resolution in time domain, but would lead to the underutilized frequency resources. However, for frequency domain schemes, to enable efficient coexistence for WiFi and ZigBee networks, the WiFi nodes or ZigBee nodes have to select the appropriate channel for transmission. Such scheme will need strict cooperations among these two independent systems, and could not work with the conventional legacy systems seamlessly. In this paper, we propose a frequency overlay approach named COFFEE (COexist wiFi For zigbEE networks), where subcarriers interfering with ZigBee transmissions are nullified by WiFi. According to our basic evaluations, due to the relatively robust feature in WiFi/OFDM design, nullifying small portion of subcarriers would affect the WiFi performance slightly, but could improve the capability for coexistence significantly. Thus by using COFFEE, WiFi and ZigBee nodes can transmit their packets concurrently without any coordination. Also, COFFEE and conventional legacy WiFi systems could work together seamlessly. Furthermore, we implement COFFEE with USRP software radio platform and evaluate the performance under real wireless network scenarios. The extensive evaluations show that compared to the coesistence schemes in time domain, COFFEE is able to increase the network throughput by more than 300%. Even when the ZigBee node never knows the transmission time of WiFi packet, it still can provide concurrent lossless transmission by using COFFEE with only 10% to 15% WiFi throughput reduction. INDEX TERMS Coexistence, WiFi, ZigBee, OFDM. I. INTRODUCTION The demand for information has brought prosperity to network systems such as WiFi and zigbee, which have also crowed the 2.4GHz ISM band where these networks operate at. The WiFi Access Points (APs) are widely used for ubiquitous Internet access. Benefit from the high frequency utilization, most of existing WiFi system, such The associate editor coordinating the review of this manuscript and approving it for publication was Irfan Ahmed. as IEEE 802.11g [1] system, are using OFDM communication scheme, and operating at the frequency range of 2.402 ∼ 2.482 GHz. An OFDM channel occupies a 20 MHz bandwidth and is divided into 64 orthogonal subcarriers, and use 52 of them for data transmission. On the other hand, the Wireless Sensor Networks (WSNs) beginning to play an increasingly important role in long-term and real-time environmental monitoring in urban areas, (e.g., City See) [2], as well as health-care applications [3]. Unfortunately, the WSNs also communication at the

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“…Dispositivos que operam nesta faixa de frequência usam diferentes padrões e protocolos e cada um deles propõe formas diferentes de mitigar interferência. Os principais desafios para se resolver esses problemas estão relacionados com as diferenças existentes na camada física dos dispositivos [2].…”

Section: Iunclassified

Análise Experimental da Interferência de Comunicação de redes IEEE 802.11n sobre redes IEEE 802.15.4

Casagrande¹,

Negri²,

Cechinel³

et al. 2016

Anais De XXXIV Simpósio Brasileiro De Telecomunicações

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Resumo-Este artigo apresenta uma análise de interferência de uma rede IEEE 802.11n sobre uma rede IEEE 802.15.4 operando na faixa de frequência de 2.4 GHz. Foram realizados testes experimentais em um cenário com dez nodos IEEE 802.15.4 e quatro estações IEEE 802.11n, operando em canais de comunicação sobrepostos e não sobrepostos. Os experimentos foram conduzidos alterando-se a distância entre o AP da rede IEEE 802.11 e o coordenador da rede IEEE 802.15.4, canais de comunicação e a taxa de ocupação da rede. Os resultados demonstraram que todas as variáveis analisadas interferem drasticamente na eficiência das redes IEEE 802.15.4.

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Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Cited by 49 publications

References 27 publications

Machine learning based lightweight interference mitigation scheme for wireless sensor network

Machine learning based lightweight interference mitigation scheme for wireless sensor network

Coexist WiFi for ZigBee Networks With Fine-Grained Frequency Approach

Análise Experimental da Interferência de Comunicação de redes IEEE 802.11n sobre redes IEEE 802.15.4

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