Dynamic clustering schemes of ZigBee networks in the presence of WLAN interference

Ko, Duck Sung; Chong, Jo Woon; Jung, Byoung Hoon; Sung, Dan Keun

doi:10.1109/milcom.2008.4753627

Cited by 3 publications

(1 citation statement)

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“…Here, static and dynamic channel assignment methods are considered. The static assignment can be ineffective when the number of WLAN APs increases International Journal of Distributed Sensor Networks 3 or nodes are mobile [3] while the dynamic assignment methods can address these problems by avoiding nearby WLAN channels [42,43]. However, these dynamic methods also become inefficient when there exists little WLAN traffic [2,44].…”

Section: Related Workmentioning

confidence: 99%

An Adaptive WLAN Interference Mitigation Scheme for ZigBee Sensor Networks

Chong

Cho

Hwang

et al. 2015

International Journal of Distributed Sensor Networks

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We propose an adaptive interference avoidance scheme that enhances the performance of ZigBee networks by adapting ZigBees' transmissions to measured wireless local area network (WLAN) interference. Our proposed algorithm is based on a stochastic analysis of ZigBee operation that is interfered with by WLAN transmission, given ZigBee and WLAN channels are overlaid in the industrial, scientific, and medical (ISM) band. We assume that WLAN devices have higher transmission power than ZigBee devices. Then, the high transmission power of WLAN devices causes the capture effect when WLAN and ZigBee transmit simultaneously. On the other hand, ZigBee performs backoff during clear channel assessment (CCA) operation if the WLAN is transmitting its frames on the channel. We adopt a widely used WLAN queueing/transmission model that is based on a Markov chain concept. We model a ZigBee device's operation using the Markov chain that includes WLAN interference statistically derived from the WLAN queueing/transmission model. Our proposed algorithm is evaluated in a simulated ZigBee network in the presence of varying WLAN interference. Numerical results show that our WLAN interference mitigation scheme finds the ZigBee control parameters, among a candidate set, which enhances ZigBee network performance compared to the conventional ZigBee operation.

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