(2) Guoqiang Mao (guoqiang.mao “at ” sydney.edu.au)

Abstract: Results obtained with the grant fall into several groupings: (a) Combinatorial conditions on the graphical representation of a two-dimensional sensor network that will guarantee localizability of the network in the event of loss of any p sensors and/or q links in the network, for nonnegative integers p and q; (b) analysis of the effects of measurement error on the quality of localization of sensor positions in a sensor network, or more generally a target being localized; (c) the derivation of a measure, including algorithms for computing it, of the quality of connectivity of a network modeled by a graph with nodes and links, and in which the individual links are operative with defined a priori probabilities, and the probability that any one link is operative is independent of the probability that any other link is operative; (d) connectivity and capacity of networks with randomly positioned nodes and probabilistic channel models; (e) Doppler localization problems and miscellaneous multiagent problem