Name
Abstract | ||
|---|---|---|
Range-based IEEE 802.15.4 localization systems currently require relatively high anchor density for indoor deployments. It can therefore be beneficial to use external sources of transmission as additional anchors. We present methods for using WiFi beacons to improve localization accuracy of a range-based IEEE 802.15.4 localization system in cases where only two IEEE 802.15.4 anchor nodes are available. We do this by identifying WiFi beacons from RSSI traces that we dynamically sample online, and applying fingerprinting and range-based methods using the RSSI values of the identified beacons. However, because the data of the WiFi traffic is not decodable by the IEEE 802.15.4 devices, these RSSI measurements lack identifiers that can associate them to specific WiFi Access Points (APs). Therefore, novel methods are required for both fingerprinting and range-based approaches to allow for these additional WiFi APs to be used as anchors. We show by using real-world measurements that our beacon identification method gives a false-positive rate of only 3%, and that if the range measurements to the IEEE 802.15.4 anchors are relatively accurate, with a standard deviation of 1 and 3 m, a localization accuracy improvement of 47% and 24% can be gained, respectively. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/DCOSS.2015.23 | Distributed Computing in Sensor Systems |
Field | DocType | Citations |
Beacon,Identifier,Computer science,Computer network,Localization system,Standard deviation,Information and Computer Science | Conference | 2 |
PageRank | References | Authors |
0.37 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niklas Wirström | 1 | 134 | 10.16 |
| Arash Behboodi | 2 | 65 | 13.77 |
| filip lemie | 3 | 81 | 11.76 |
| Thiemo Voigt | 4 | 3458 | 250.13 |
| Adam Wolisz | 5 | 2693 | 407.71 |