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Study of Actual State of Wireless Technology in Residential Environments. Mo Sha Peng Li Jing Xia. Link study. TelosB 802.15.4 compliant Chipcon CC2420 radio 250 kbps maximum bit rate Can be programmed to work on 16 channels
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Study of Actual State of Wireless Technology in Residential Environments Mo Sha Peng Li Jing Xia
Link study • TelosB • 802.15.4 compliant Chipcon CC2420 radio • 250 kbps maximum bit rate • Can be programmed to work on 16 channels • Received Signal Strength Indicator (RSSI) to measure signal strength • Spectrum Analyzer • Use Wi-Spy spectrum analyzer • Can track all radio activity from 2.4 GHz • Connected to PC though USB 15 Days 5+ GB Data Trace Link Snooping + 2.4GHz Spectrum Scanning 2
Questions? • 1. Is every 802.15.4 channel covered by exclusive wireless signal?2. How long does every 802.15.4 channel maintain consecutive clean?3. Is channel diversify beneficial?4. Is the interference narrow-band or wide-band?5. Does the interference change over time?6. Is there cyclic behavior (time correlation)?7. Is there correlation between adjacent channels (frequency correlation)?8. Does the interference mainly cause by Wifi?9. Is every 802.15.4 channel clean if we remove modeled Wifi signal?10. How many 802.15.4 channel become clean if we remove modeled Wifi signal?
Is every 802.15.4 channel covered by exclusive wireless signal? RSSI Threshold=30dB+noise floor
Is every 802.15.4 channel covered by exclusive wireless signal? RSSI Threshold=40dB+noise floor
Is every 802.15.4 channel covered by exclusive wireless signal? Impact Insight: Each 802.15.4 channel covered by exclusive wireless signal, but the impact on each channel is different.
How long does every 802.15.4 channel maintain consecutive clean? RSSI Threshold=30dB+noise floor
How long does every 802.15.4 channel maintain consecutive clean? RSSI Threshold=40dB+noise floor
How long does every 802.15.4 channel maintain consecutive clean? Impact Insight: Channel with long-time consecutive clean condition is rare.
Is channel diversify beneficial? With an ideal channel hopping approach Insight: channel diversify is beneficial.
Is the interference narrow-band or wide-band? Insight: The interference is mainly narrow-band, hence channel diversify is helpful.
Does the interference change over time? Insight: The interference on each channel changes over time.
Hamming Distance • Purpose • Evaluating the difference between two equal length strings • Definition • Number of positions at which the corresponding symbols are different • Normalized Hamming Distance (NHD) • Hamming distance divided by the length of string • NHD described the difference between two strings • Digitalized wireless signals are strings of 0’s and 1’s • We use 1-NHD to quantify the similarity (correlation) between two signal sets
Frequency Correlations - 1 Window size = 3 min; Threshold = 30 dBm + Noise floor
Frequency Correlations - 2 Window size = 3 min; Threshold = 40 dBm + Noise floor
Time Correlations - 1 Window size = 3 min; Threshold = 30 dBm + Noise floor
Time Correlations - 2 Window size = 3 min; Threshold = 40 dBm + Noise floor
Signal dependency between channels Window size = 3 min; Threshold = 30 dBm + Noise floor
Signal dependency between channels Window size = 3 min; Threshold = 40 dBm + Noise floor
Wireless Sensors interfered by WiFi • Questions • 8. Does the interference mainly cause by Wifi? 15 Days Link Snooping + 2.4GHz Spectrum Scanning 21
Does the interference mainly cause by Wifi? • Packet Receive Ratio (PRR) • TelosB : 16 channels range from 2.405GHz to 2.485GHz PRR of TelosB 16 channels
Percentage of strong signal per second • TelosB reciever sensitivity -90dBm (min) -94dBm www.xbow.com • Threshold = 30dBm + nosie floor • Percentage of signal >threshold per second
Correlation of consecutive days of TelosB 16 channels 16 TelosB channels 14 consecutive days 14 consecutive days 16 TelosB channels
Correlation of consecutive days of WiFi 13 channels 14 consecutive days 13 WiFi channels
Conclusion • Random occurrence of WiFi signals (no correlation among time) • High frequency of occurrence of WiFi signals in residential apartments • Interfere with wireless sensors