multi-channel interference measurement and modeling in low-power wireless networks

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Multi-channel Interference Measurement and Modeling in Low-Power Wireless Networks. Guoliang Xing 1 ,  Mo Sha 2 ,  Jun Huang 1 Gang Zhou 3 , Xiaorui Wang 4 , Shucheng Liu 5 1 Michigan State University,  2 Washington University in St. Louis,  3 College of William and Mary,  - PowerPoint PPT Presentation

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Multi-channel Interference Measurement and Modeling in Low-Power Wireless Networks

1Multi-channel Interference Measurement and Modelingin Low-Power Wireless NetworksGuoliang Xing1, Mo Sha2, Jun Huang1Gang Zhou3, Xiaorui Wang4,Shucheng Liu5

1Michigan State University,2Washington University in St. Louis,3College of William and Mary,4University of Tennessee, Knoxville 5City University of Hong Kong12Low-power Wireless Networks (LWNs)Low communication power (10~100 mw)Personal area networksZigBee remote controls and game consoles, Bluetooth headsets.Wireless sensor networksEnvironmental monitoring, structural monitoring, Industrial/home automation

ZigBee thermostat (HAI )

industrial automation(Intel fabrication plant)3ChallengesLWNs are increasingly used for critical appsStringent requirements on throughput & delay

Interference is often inevitable Low throughput & unpredictable comm. delayWorse for LWNs due to limited radio bandwidth4Avoid interference by assigning links different channels802.15.4: 16 channels in 2.4-2.483 GHz, 5MHz separations2r2s1r1collisions

Mitigating Interferencesignal powerfrequency4

channel Xchannel Y5Channels Are Overlapping! signal power (dbm)

0-20-40-60-80-100Channel X1 MHzChannel X+1Channel X-1Power leakage causes inter-channel Interference Only 3 or 4 channels of ZigBee are orthogonal theoretical channel bandwidth Interference on adjacent channel6OutlineMotivationMeasurement-based interference modelingLightweight interference measurement algorithmExtensions to channel assignment protocolsExperimental results7Strongly Overlapping Channels

When two channels are closeReceived Signal Strength (RSS) grows nearly linearly with transmit power

s1r1channel 19, power level [0~31]channel Y, received signal strength (RSS) 78Weakly Overlapping ChannelsWhen two channels are not closeRSS do not strongly correlate with transmit power

Sender periodically changes transmit power on channel 19

89Modeling Inter-Channel RSSSender u on channel x and receiver v on channel y Strongly correlated channels, sender transmit power P

RSS ( ux, vy, P ) = Au,x,v,y P + Bu,x, v,y Weakly correlated channels, for given quantile [0,1]RSS ( ux, vy, ) = X | Prob(RSS

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