Paper Info
Title
Efficient Deterministic Algorithm for Huge-Sized Noisy Sensor Localization Problems via Canonical Duality Theory
Abstract
This paper presents a new deterministic method and a polynomial-time algorithm for solving general huge-sized sensor network localization problems. The problem is first formulated as a nonconvex minimization, which was considered as an NP-hard based on conventional theories. However, by the canonical duality theory, this challenging problem can be equivalently converted into a convex dual problem....
Year
DOI
Venue
2021
10.1109/TCYB.2019.2891112
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Optimization,Noise measurement,Indexes,Minimization,Monitoring,Global Positioning System,Measurement uncertainty
Journal
51
Issue
ISSN
Citations 
10
2168-2267
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Vittorio Latorre1315.16
David Yang Gao217921.41