Estimating distances via connectivity in wireless sensor networks
Distance estimation is vital for localization and many other applications in wireless sensor networks. In this paper, we develop a method that employs a maximum-likelihood estimator to estimate distances between a pair of neighboring nodes in a static wireless sensor network using their local connectivity information, namely the numbers of their common and non-common one-hop neighbors. We present the distance estimation method under a generic channel model, including the unit disk...[Show more]
|Collections||ANU Research Publications|
|Source:||Wireless Communications and Mobile Computing Journal|
|Access Rights:||Open Access|
|01_Huang_Estimating_distances_via_2014.pdf||482.4 kB||Adobe PDF|
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