Weighted consensus algorithms for distributed localization in cooperative wireless networks
作者： G. Soatti , M. Nicoli , A. Matera , S. Schiaroli , U. Spagnolini
DOI: 10.1109/ISWCS.2014.6933331
关键词:
摘要: In this paper we consider distributed localization in a wireless peer-to-peer network. Each node is required to estimate the geographical configuration of whole network (i.e., positions all nodes regardless link availability) based on local processing and iterated information exchange with neighbors. We propose new weighted-average consensus method received-signal-strength measurements. To handle non-linearity measurement model, an iterative Gauss-Newton location estimator integrated into algorithm. Consensus designed so as account for different degree reliability provided by neighbors boost convergence process. Performances are analysed compared those conventional algorithms, terms accuracy rate, using fundamental performance bounds benchmarks.
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