Open AccessDistributed algorithms for tracking the trajectories of many objects by the set of mobile sensors
Author(s) -
Yury Ivanskiy,
Anna Sergeenko
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/984/1/012003
Subject(s) - computer science , simultaneous perturbation stochastic approximation , distributed algorithm , bounded function , algorithm , wireless sensor network , tracking (education) , set (abstract data type) , protocol (science) , voting , range (aeronautics) , distributed computing , stochastic process , mathematics , computer network , materials science , composite material , medicine , psychology , mathematical analysis , statistics , pedagogy , alternative medicine , pathology , politics , law , political science , programming language
We consider a dynamic network system of multiple heterogeneous sensors collaborating among themselves to estimate an unknown signal of interest. That communication capability is essential because individual senors cannot fulfill the task due to the lack of necessary information. This paper considers the distributed estimation or tracking problem and focuses on combining two algorithms: Simultaneous Perturbation Stochastic Approximation (SPSA) and consensus Local Voting Protocol (LVP). The new distributed algorithm is proposed for network systems under wide range of uncertainties including unknown-but-bounded drift of parameters and noise in observations. The suggested approach is illustrated by an application of the proposed algorithm to the solving the multisensor-multitarget problem.