William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Given a connected graph G = (V,E), Let r ≥ 1 be an integer and Br(v) denote the ball of radius r centered at v ∈ V, i.e., the set of all vertices within distance r from v. A subset of vertices C ⊆ V is an r-identifying code of G (for a given nonzero constant r ∈ N) if and only if all the sets Br(v) ∩ C are nonempty and pairwise distinct. These codes were introduced in [7] to model a fault-detection problem in multiprocessor systems. They are also used to devise location-detection schemes in the framework of wireless sensor networks. These codes enable one to locate a malfunctioning device in these networks, provided one scans all the vertices of the code. We study here an adaptive version of identifying codes, which enables to perform tests dynamically. The main feature of such codes is that they may require significantly fewer tests, compared to usual static identifying codes. In this paper we study adaptive identifying codes in torii in the king lattice. In this framework, adaptive identification can be closely related to a Rényi-type search problem studied by M. Ruszinkó [11].
William Hinsberg, Joy Cheng, et al.
SPIE Advanced Lithography 2010
Andrew Skumanich
SPIE Optics Quebec 1993
Fausto Bernardini, Holly Rushmeier
Proceedings of SPIE - The International Society for Optical Engineering
Karthik Visweswariah, Sanjeev Kulkarni, et al.
IEEE International Symposium on Information Theory - Proceedings