Self-localization of Sensor Node Using Monte Carlo Method Considering Shadowing

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.