Abstract: The optimal location of wireless transceivers orcommunicating sensor devices in an urban area andwithin large human-made structures is considered. Thepurpose of the positioning of the devices is formationof a distributed network, either in a mesh or hub-spoketopology, that achieves robust connectivity of thenodes. Real-world examples include wireless local areanetworks (LANs) within buildings and radio beacons inan outdoor mobile radio environment. Operatingenvironments contain both fixed and moving interferersthat correspond to both stationary and time-varyingspatial distributions of path distortion of stationaryand transient fading and multipath delays that impedeconnectivity. The positioning of the autonomouswireless devices in an area with an unknown spatialpattern of interferers would normally be a slowincremental process. The proposed objective isdetermination of the spatial distribution of thedevices to achieve the maximum radio connectivity in aminimal number of iterative steps. Impeding the optimaldistribution of wireless nodes is the correspondingdistribution of environmental interferers in the areaor volume of network operation. The problem of networkformation is posed as an adaptive learning problem, inparticular, a self-organizing map of locallycompetitive wireless units that recursively updatetheir positions and individual operating configurationsat each iterative step of the neural algorithm. Thescheme allows the wireless units to adaptively learnthe pattern distribution of interferers in theiroperating environment based on the level of radiointerference measured at each node by an equivalentreceived signal strength from wireless units within thenode's hearing distance. Two cases are considered. Thefirst is an indoor human-made environment where theinterference pattern is largely deterministic andstationary and the units are positioned to form awireless LAN. The second situation applies to anoutdoor urban environment, where a fixed number ofunits on mobile platforms operating in a random spatialdistribution of interferers. !28
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