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- Warda, HARMA 1
- Wireless Sensor Networks (WSN) have become over the years a very attractive field of research. The wireless sensor network is composed of a large number of nodes that are densely deployed in a region of interest to measure certain phenomena. They focus on the study and implementation of new distributed algorithms that use bio-inspired metaheuristics to solve the localization problem. In this study, we worked on the optimization of localization problems by taboo search algorithms to obtain a stable and robust system. In this thesis, we adapt the meta-heuristic of Tabu Search (RT) optimization algorithm to optimize the map of positions estimated by two famous existing localization techniques (DV-HOP and DV-DISTANCE). Secondly, a new localization algorithm based only on PSO metaheuristics and Tabu search is proposed. The simulation and the experimental study carried out show the effectiveness of our proposed algorithms. 1
- Wissem, Adila 1
- Yaga, Nadia 1
- YAGA, Rachida 1
- Yagoub, Amel 1
- Yahia, Fatma 1
- YAHIA, Somia 1
- Yahia, Yahia 1
- Yahiaoui, Abderrahmane 1
- YAHIAOUI, Farid 1
- YAHIAOUI, Ilham 1
- Yahyaoui, Ilham 1
- YAHYAOUI, Zeyneb 1
- YAHYAOUI, ZIDELMAL 1
- Yaichi, Abdelkrim 1
- Yaichi, Fadila 1
- YAICHI, Habitat 1
- Yaichi, Hanini 1
- YAICHI, IBRAHIM / promoteur 1