Distributed topology learning method and apparatus for wireless networks

A wireless network of communicating devices, preferably including sensors, uses a distributed method of topology learning to organize multiple hop, relayed communication among the devices and with users. The method of topology learning identifies interference neighbors and communication neighbors for each device, preferably using ranging between devices and distributed calculation to limit the number of devices involved in each step of the topology learning method, thereby conserving energy and bandwidth. The identification of interference neighbors and communication neighbors for each device in the network facilitates scheduling of communications in any of a variety of multiple access protocols.