We present a novel algorithm for self-localization in sensor networks without any prior knowledge on the locations of the sensors. We assume that all sensors in the network can receive and transmit, thus we obtain time difference of arrival measurements for all combinations of sensors. Using the full set of these differences in arrival times in the network we are able to obtain the relative location of the sensors nodes, the shape of the network. This leaves us with the problem of anchoring the network to its absolute location, which we solve using additional transmitting beacons at known locations. Experimental results from numerical simulation demonstrate the performance of our approach under various conditions.
|Title of host publication||2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 10 May 2017|
|Event||2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States|
Duration: 19 Mar 2017 → 22 Mar 2017
|Name||IEEE Wireless Communications and Networking Conference, WCNC|
|Conference||2017 IEEE Wireless Communications and Networking Conference, WCNC 2017|
|Period||19/03/17 → 22/03/17|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
- Multidimensional scaling
- Sensor networks
- Time difference of arrival