Adaptive interference-aware multi-channel clustering algorithm in a ZigBee network in the presence of WLAN interference

Min Suk Kang, Jo Woon Chong, Hyesun Hyun, Su Min Kim, Byoung Hoon Jung, Dan Keun Sung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

54 Scopus citations

Abstract

In ubiquitous networking environments, we generally need two or more heterogeneous communication systems coexisting in a single place. Especially, wireless local area networks (WLANs) based on IEEE 802.11 specifications and wireless personal area networks (WPANs) based on IEEE 802.15.4b or g specifications need to coexist in the same Industrial, Science and Medial (ISM) band. If the WPAN communication coverage is expanded using a cluster-tree network topology, then the 802.15.4 network is more susceptible to interference from neighboring WLANs. In this paper, we propose an adaptive interference-aware clustering algorithm using multiple channels in a WPAN in the presence of WLAN interference. The algorithm includes interference detection and avoidance schemes to adaptively reconfigure multiple channels in an IEEE 802.15.4 cluster-tree network to avoid interference from WLANs. To evaluate the performance of the proposed algorithm, the frame error rate (FER) is measured in a real network testbed. The measurement result shows that the proposed algorithm is effective in an IEEE 802.15.4 cluster-tree network in the presence of multiple IEEE 802.11 interferers.

Original languageEnglish
Title of host publication2007 2nd International Symposium on Wireless Pervasive Computing
Pages200-205
Number of pages6
DOIs
StatePublished - 2007
Event2007 2nd International Symposium on Wireless Pervasive Computing - San Juan, PR, United States
Duration: Feb 5 2007Feb 7 2007

Publication series

Name2007 2nd International Symposium on Wireless Pervasive Computing

Conference

Conference2007 2nd International Symposium on Wireless Pervasive Computing
CountryUnited States
CitySan Juan, PR
Period02/5/0702/7/07

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