High performance wireless sensor network localisation system

被引:0
|
作者
Marks, Michal [1 ]
Niewiadomska-Szynkiewicz, Ewa [2 ]
Kolodziej, Joanna [3 ]
机构
[1] Research and Academic Computer Network (NASK), Wawozowa 18, Warsaw,02-796, Poland
[2] Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, Warsaw,00-665, Poland
[3] Institute of Computer Science, Cracow University of Technology, Warszawska 24, Cracow,31-155, Poland
关键词
High performance computing - Localisation - positioning - real life deployments - Stochastic optimisation - WSNs;
D O I
10.1504/ijahuc.2014.065776
中图分类号
学科分类号
摘要
In this paper we summarise the results of our research concerned with the development, implementation and evaluation of a software framework for wireless sensor networks (WSNs) localisation-high performance localisation system (HPLS). The system can be used to calculate positions of sensing devices (network nodes) in the deployment area, and to tune and verify various localisation schemes through simulation. It provides tools for data acquisition from a workspace, estimation of internode distances, calculation of geographical coordinates of all nodes with unknown position and results evaluation. Received Signal Strength measurements are utilised to support the localisation process. Trilateration, simulated annealing (SA) and genetic algorithm (GA) are applied to calculate the geographical coordinates of network nodes. The utility, efficiency and scalability of the proposed localisation system HPLS have been justified through simulation and testbed implementation. The calculations have been done in parallel using the mapreduce paradigm and the high performance computing (HPC) environment formed by a cluster of servers. The testbed networks were formed by sensor devices manufactured by Advantic Technology (clones of TelosB platform). A provided case study demonstrates the localisation accuracy obtained for small, medium and largesize multihop networks. © 2014 Inderscience Enterprises Ltd.
引用
收藏
页码:122 / 133
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