Characterization of Wireless Networks in the Home

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Presentation transcript:

Characterization of 802.11 Wireless Networks in the Home 12/3/2018 Characterization of 802.11 Wireless Networks in the Home M. Yarvis. K. Papagiannaki and W. Conner Intel Research Today, Prof Bob Kinicki and I are going to present our paper “Application, Network, and Linklayer measurements of Streaming video over a wireless Campus Network”. Before I start the presentation, I want to introduce the people from WPI Wireless streaming research group. They are our group members. Prof Claypool, prof Kiniki, Mingzhe,Huahui, and Ashishi Presenter - Bob Kinicki rek@cs.wpi.edu The First Workshop on Wireless Network Measurements (WiNMee) Trentino, Italy, April 2005

Characterization of 802.11 Wireless Networks in the Home 12/3/2018 Outline Introduction Experimental Environment Results Conclusions Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Introduction Little was known about the properties of home wireless networks in 2005. Conjecture is that wireless home behavior will be similar to enterprise wireless network behavior. The goal was to specifically examine the impact of transmission rate and transmission power on the quality of home wireless links. Characterization of 802.11 Wireless Networks in the Home

Experimental Environment Experimental Setup Methodology Validation Characterization of 802.11 Wireless Networks in the Home

Experimental Setup Measurements in Three Homes Six wireless nodes inside each home Ad Hoc communication (No AP) Characterization of 802.11 Wireless Networks in the Home

Experimental Methodology DL layer retransmissions disabled. 300 1024-byte UDP probe packets sent every 500 ms (150 seconds). No simultaneous transmissions. Experiments run during the night to avoid interference from moving people. Allows quantifying loss rate observed by each wireless link. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ushome1 Experiments Link asymmetry Characterization of 802.11 Wireless Networks in the Home

Methodology Validation Duplicated results Experimental length Time of day variability Characterization of 802.11 Wireless Networks in the Home

Link performance does not change significantly. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Experiment Length ? Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Time of Day Effect ? Good link remains good, bad link remains bad. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Results Evaluates the home wireless environment along six dimensions: Transmission rate (txrate) Transmission power (txpower) Node location House type External interference Physical layer Characterization of 802.11 Wireless Networks in the Home

Overall Characteristics Link loss rates were higher when the encoding rate was higher. Link loss rates were lower when the power level increased. Characterization of 802.11 Wireless Networks in the Home

Overall Characteristics (cont.) Wireless connectivity is NOT omnipresent. Several asymmetric links were observed. In most experiments, at least one node pair had 30% loss. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ukhome1 Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ushome1 Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ushome2 Characterization of 802.11 Wireless Networks in the Home

Figure 5 Loss Rates Layout1 ukhome1 Characterization of 802.11 Wireless Networks in the Home

Figure 5 Loss Rates Layout1 ushome1 Characterization of 802.11 Wireless Networks in the Home

Figure 5 Loss Rates Layout1 ushome2 Characterization of 802.11 Wireless Networks in the Home

Small changes in antenna orientation and location For layout2, layout1 nodes are translated a few inches and antennas are rotated to face another direction. Conclusion:: exact node placement is a key contributor to performance. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Figure 5a ukhome1 Layout1 Figure 6a layout2 Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ukhome1 Characterization of 802.11 Wireless Networks in the Home

Large changes in node placement For ukhome1 nodes 2 and nodes 7 were moved to a different location within the same room from layout1 to produce layout3. The other nodes were moved slightly from their layout1 positions. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home ukhome1 Characterization of 802.11 Wireless Networks in the Home

Figure 5a ukhome1 Layout1 Figure 8 layout3 More significant loss in links and quality Characterization of 802.11 Wireless Networks in the Home

Link quality and distance relationship Results in Figure 9 for layout2 for all three homes show there is no correlation between physical distance and wireless link quality. This result holds across homes and across txrate and txpower settings. Characterization of 802.11 Wireless Networks in the Home

Link quality and distance relationship layout2 Figure 9: ukhome1 Characterization of 802.11 Wireless Networks in the Home

Link quality and distance relationship layout2 Figure 9: ushome1 Characterization of 802.11 Wireless Networks in the Home

Link quality and distance relationship layout2 Figure 9: ushome2 Characterization of 802.11 Wireless Networks in the Home

Microwave Oven Interference Characterization of 802.11 Wireless Networks in the Home

Between home comparisons Small home (ukhome1) had better results sometimes (layout1), but worse performance under layout2. Precise node location is more important than home size or distance. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home IEEE 802.11a Experiments Results were quite similar to 802.11b results! 802.11a yielded slightly better performance. 802.11a results were more ‘binary’, namely either good or very bad. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Layout1 ushome1 Figure 5b 802.11b Figure 11a 802.11a Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home IEEE 802.11a Experiments Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Conclusions Wireless links inside homes tend to be stable over time, highly asymmetric and highly variable from one link to the next. Precise node location is probably the single most important factor. Distance has no impact on quality of the wireless links. Small changes in antenna orientation and node location can dramatically change individual link performance. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home Conclusions (cont.) 802.11a performed slightly better in homes. But for both 802.11a and 802.11b the highest allowable rate may not be possible due to high loss. Home networks face similar problems to larger networks. Results imply the location of the AP will have a significant impact on overall performance. Characterization of 802.11 Wireless Networks in the Home

Characterization of 802.11 Wireless Networks in the Home 12/3/2018 Characterization of 802.11 Wireless Networks in the Home Thank You! Questions ?? Today, Prof Bob Kinicki and I are going to present our paper “Application, Network, and Linklayer measurements of Streaming video over a wireless Campus Network”. Before I start the presentation, I want to introduce the people from WPI Wireless streaming research group. They are our group members. Prof Claypool, prof Kiniki, Mingzhe,Huahui, and Ashishi