Leonardo Londero de Oliveira

About

Leonardo Londero de Oliveira is a leading researcher in wireless sensor networks (WSNs), with a primary focus on developing efficient, low-cost localization techniques. His work addresses a fundamental challenge: enabling sensor nodes to determine their position without relying on energy-intensive GPS hardware. Oliveira’s major contributions lie in the application of computational intelligence to this problem. He pioneered the use of artificial neural networks (ANNs) combined with Genetic Algorithms and Simulated Annealing to optimize node positioning, achieving high accuracy while respecting the strict power and cost constraints of sensor motes. His comprehensive 2022 survey on mobile localization techniques, which has already garnered 49 citations, serves as a definitive guide for the field, synthesizing both classic and state-of-the-art algorithms for dynamic networks. With over 100 total citations for his core works, Oliveira’s research has directly impacted critical applications, including military surveillance, environmental monitoring, and robotics. His innovative fusion of machine learning and metaheuristic optimization continues to shape how next-generation, energy-autonomous sensor networks are deployed and managed.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile Localization Techniques for Wireless Sensor Networks: Survey and Recommendations

   49 citations · 2022
2. 2
   An approach to localization scheme of wireless sensor networks based on artificial neural networks and Genetic Algorithms

   38 citations · 2012
3. 3
   Genetic Algorithms and Simulated Annealing optimization methods in wireless sensor networks localization using artificial neural networks

   19 citations · 2012

Key Collaborators

Contact & Links