DocumentCode
715573
Title
Microimmune algorithm for sensor network localization
Author
Glumac, Slaven ; Arbula, Damir ; Kovacic, Zdenko
Author_Institution
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear
2015
fDate
13-15 April 2015
Firstpage
1
Lastpage
6
Abstract
An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained.
Keywords
microcontrollers; optimisation; sensors; closed form solution; low-cost microcontroller platform; memory capacity; microimmune algorithm; microimmune optimization approach; sensor network localization; subspace techniques; Algorithm design and analysis; Mathematical model; Memory management; Microcontrollers; Optimization; Robot sensing systems; Signal processing algorithms; localization; microimmune algorithm; optimization; sensor networks; subspace techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors Applications Symposium (SAS), 2015 IEEE
Conference_Location
Zadar
Type
conf
DOI
10.1109/SAS.2015.7133647
Filename
7133647
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