Abstract

Simultaneous localization and tracking (SLAT) is known to significantly affect the geometric random deployment of wireless sensor networks (WSN). In this letter, we describe how a completely decentralized version of particle filter for SLAT algorithm can be implemented in the relative coordination for target state through belief propagation of suitable messages that are exchanged between neighbouring sensors, at the same time, a particle swarm optimization for unknown sensor localization parameter estimation is proposed with the celebrated target position to modify the sensor deployment even in non-line-of-sight (NLOS) environment. This algorithm is applied to solve the geometric placement for sensor networks.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.