@inproceedings{crespi:registration, 
    author = {Valentino Crespi and George Cybenko}, 
    title = {Decentralized Algorithms for Sensor Registration}, 
    booktitle = {Proceedings of the International Joint Conference on Neural
Networks (IJCNN)}, 
    year = {2003}, 
    month = {July}, 
    pages = {266--271}, 
    publisher = {IEEE Computer Society Press}, 
    copyright = {IEEE}, 
    address = {Portland, OR}, 
    url = {http://cmc.cs.dartmouth.edu/papers/crespi:registration.pdf}, 
    abstract = {In this paper we investigate a problem arising in decentralized
registration of sensors. The application we consider involves a heterogeneous
collection of sensors--- some sensors have on-board Global Positioning System
(GPS) capabilities while others do not. All sensors have wireless
communications capability but the wirele ss communication has limited
effective range. Sensors can communicate only with other sensors that are
within a fixed distance of each other. Sensors with GPS capability are
self-registering. Sensors without GPS capability are less expensive and
smaller but they must compute estimates of their location using estimates of
the distances between themselves and other sensors within their radio range.
GPS-less sensors may be several radio hops away from GPS-capable sensors so
registration must be inferred transitively. Our approach to solving this
registration problem involves minimizing a global potential or penalty
function by using only local information, determined by the radio range,
available to each sensor. The algorithm we derive is a special case of a more
general methodology we have developed called "Emergence Engineering".}
}