TY - GEN
T1 - Wireless localization using self-organizing maps
AU - Giorgetti, Gianni
AU - Gupta, Sandeep
AU - Manes, Gianfranco
PY - 2007/10/22
Y1 - 2007/10/22
N2 - Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine-grained positioning, we propose a range-free, anchor-free solution that works using connectivity information only. The approach, suitable for deployments with strict cost constraints, is based on the neural network paradigm of Self-Organizing Maps (SOM). We present a lightweight SOM-based algorithm to compute virtual coordinates that are effective for location-aided routing. This algorithm can also exploit the location information, if available, of few anchor nodes to compute absolute positions. Results of extensive simulations show improvements over the popular Multi-Dimensional Scaling (MDS) scheme, especially for networks with low connectivity, which are intrinsically harder to localize, and in presence of irregular radio pattern or anisotropic deployment. We analytically demonstrate that the proposed scheme has low computation and communication overheads; hence, making it suitable for resource-constrained networks.
AB - Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine-grained positioning, we propose a range-free, anchor-free solution that works using connectivity information only. The approach, suitable for deployments with strict cost constraints, is based on the neural network paradigm of Self-Organizing Maps (SOM). We present a lightweight SOM-based algorithm to compute virtual coordinates that are effective for location-aided routing. This algorithm can also exploit the location information, if available, of few anchor nodes to compute absolute positions. Results of extensive simulations show improvements over the popular Multi-Dimensional Scaling (MDS) scheme, especially for networks with low connectivity, which are intrinsically harder to localize, and in presence of irregular radio pattern or anisotropic deployment. We analytically demonstrate that the proposed scheme has low computation and communication overheads; hence, making it suitable for resource-constrained networks.
KW - Localization
KW - Self-organizing maps
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=35348921252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35348921252&partnerID=8YFLogxK
U2 - 10.1145/1236360.1236399
DO - 10.1145/1236360.1236399
M3 - Conference contribution
AN - SCOPUS:35348921252
SN - 1595936386
SN - 9781595936387
T3 - IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks
SP - 293
EP - 302
BT - IPSN 2007
T2 - IPSN 2007: 6th International Symposium on Information Processing in Sensor Networks
Y2 - 25 April 2007 through 27 April 2007
ER -