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IPIN 2013 Single-Channel V ersus Multi-Channel Scanning in

IPIN 2013 Single-Channel V ersus Multi-Channel Scanning in Device-Free Indoor Radio Localization. P. Cassarà; F. Potortì; P. Barsocchi; P. Nepa. Montbéliard, Belford, France. Outline. Scenario The Inverse Problem Data Acquisition Numerical Results Conclusions. Scenario.

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IPIN 2013 Single-Channel V ersus Multi-Channel Scanning in

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  1. IPIN 2013 Single-Channel Versus Multi-Channel Scanning in Device-Free Indoor Radio Localization P. Cassarà; F. Potortì; P. Barsocchi; P. Nepa Montbéliard, Belford, France

  2. Outline • Scenario • The Inverse Problem • Data Acquisition • Numerical Results • Conclusions

  3. Scenario Scenario for device-free indoor localization Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Data Record IRIS Mote

  4. The Inverse Problem Variance-Based RTI Model This kind of algorithm maps the shadowing measured over the links in to the shadowing over the set of pixel.

  5. Data Acquisition Data formatting The data are acquired as the values of RSS received by the ID_RX from all the other nodes into the sensor network for a given channel… Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; RSS_Link_1…RSS_Link_l Time Stamp; RSS_Link_1…RSS_Link_l sliding window for the variance evaluation Time Stamp; RSS_Link_1…RSS_Link_l

  6. Numerical Results The raw comparison between multi-channel and single-channel The figures show the comparison of the algorithm’s performance for measurements achieved in single-channel and multi-channel mode • Lengths of the sliding window 3sec and 5 sec • Multi-channel over two and four channels

  7. Numerical Results The comparison between multi-channel and single-channel on equal terms The figures show the comparison of the algorithm’s performance for measurements achieved in single-channel and multi-channel mode but the single-channel is filtered from multi-channel measurements • Lengths of the sliding window 3sec and 5 sec • Multi-channel over two channels

  8. Numerical Results Again comparison between multi-channel and single-channel on equal terms The figures show the comparison of the algorithm’s performance for measurements achieved in single-channel and multi-channel mode but the single-channel is filtered from multi-channel measurements • Lengths of the sliding window 10 sec • Multi-channel over four channels

  9. Numerical Results The influence of the channel information... Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n In this case the data are collected over many channels, but the algorithm works in either single-channel (discarding the channel info) or multi-channel mode Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n • Lengths of the sliding window 3 and 5 sec • Multi-channel over two and four channels Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1 Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1 Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1

  10. Numerical Results Again about the influence of the channel information... Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1 In this case the data are collected over the single-channel, but the algorithm works in either single-channel or a fake multi-channel Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1 • Lengths of the sliding window 3 and 5 sec • Fake multi-channel over four channels Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_1…Ch_1 Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n Time Stamp; ID_Rx; RSS_1…RSS_n; Ch_Node_1…Ch_Node_n

  11. Conclusions • Develop a multi-channel localization algorithm may be more complex because • to get enough sample you need to increase the acquisition rate of the nodes • the sensor network needs to handle a data traffic that is the data traffic for the single-channel acquisition by the number of channels • the algorithm needs to elaborate a set of data that is the set of data for the single-channel by the number of channels The measurements shows that apparently the multi-channel doesn't give remarkable advantages on the VRTI-based localization algorithm, to detriment of the system complexity

  12. Thanks !

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