- Tytuł:
- Localization in Wireless Sensor Networks Using Heuristic Optimization Techniques
- Autorzy:
-
Niewiadomska-Szynkiewicz, E.
Marks, M.
Kamola, M. - Powiązania:
- https://bibliotekanauki.pl/articles/308429.pdf
- Data publikacji:
- 2011
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
evolutionary strategy
genetic algorithm
localization
location systems
nonconvex optimization
simulated annealing
wireless sensor network - Opis:
- Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, we address issues associated with the application of heuristic techniques to accurate localization of nodes in a WSN system. We survey and discuss the location systems based on simulated annealing, genetic algorithms and evolutionary strategies. Finally, we describe and evaluate our methods that combine trilateration and heuristic optimization.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2011, 4; 55-64
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł