Localization in Self-Heating Autonomous Sensor Networks (SASNet): Studies on Cooperative Localization of Sensor Nodes Using Distributed Maps

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Authors
  1. Li, L.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
Abstract
The Self-healing Autonomous Sensing Network (SASNet) presents an advanced Wireless Sensor Network (WSN) that aims to enhance the effectiveness of mission operation in the contemporary military environment, by providing relevant and accurate situational awareness information. In order to achieve this objective, precise location information is required in SASNet. In this report, we present the studies conducted in the SASNet project on cooperative localization algorithms for wireless sensor nodes. We have taken the cooperative localization approach following the recommendations of the survey study conducted last year, which identified that cooperative localization schemes can often produce accurate results using a very small number of anchor nodes or even no anchor nodes. The cooperative localization scheme adopted in this study computes a local map for each sensor node using all the available link metric constraints, and then merges the local maps into a global map where each node acquires its location coordinates. In the study, we examined the advanced techniques of non-linear data mapping for computing the local maps from the large data set of link constraints. In particular, we selected a non-linear mapping technique, the Curvilinear Component Analysis (CCA) from a class of highly efficient neural networks and applied it to WSN localization, proposing a novel cooperative localization scheme based on CCA. We studied CCA localization in comparison with another leading coopera

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Report Number
DRDC-OTTAWA-TR-2008-020 — Technical Report
Date of publication
01 Jan 2008
Number of Pages
80
DSTKIM No
CA030499
CANDIS No
529063
Format(s):
Hardcopy;CD ROM

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