Self-localization of Sensor Node Using Monte Carlo Method Considering Shadowing
Timoteo Cayetano-Antonio, M. Mauricio-Lara, Aldo Gustavo Orozco-Lugo · 2020
The sequential Monte Carlo method for localization in Mobile Wireless Sensor Networks has been extensively studied using free space as the communication channel model. Besides, numerous and limited-hardware sensors have been assumed when proposing different algorithms based on this method. However, there is some lack of information on its performance using a more realistic shadowing channel model. In this paper, a proposal of sensor node localization using Monte Carlo method is presented. We consider shadowing and more powerful sensors to study how this kind of method behaves.