Be the first to like this
Trilateration-based localization (TBL) has become a corner stone of modern technology. This study
formulates the concern on how wireless sensor networks can take advantage of the computational
intelligent techniques using both single- and multi-objective particle swarm optimization (PSO) with an
overall aim of concurrently minimizing the required time for localization, minimizing energy consumed
during localization, and maximizing the number of nodes fully localized through the adjustment of wireless
sensor transmission ranges while using TBL process. A parameter-study of the applied PSO variants is
performed, leading to results that show algorithmic improvements of up to 32% in the evaluated objectives.