activity
20112026
most citedOn the Metric Dimensions for Sets of Vertices

5 citations · 14 across the 17 of their papers we have counts for

collaborators

21 papers

math.CO2026

On the Vertices That Belong to All Minimum Identifying Codes

Ville Junnila, Tero Laihonen, Havu Miikonen

Identifying codes in graphs have been widely studied since their introduction by Karpovsky, Chakrabarty and Levitin in 1998. In this paper, we consider the vertices that are in eve…

math.CO2026

On the Maximum Number of Vertices that Belong to Every Metric Basis

Anni Hakanen, Ville Junnila, Tero Laihonen +2

Metric bases of graphs have been widely studied since their introduction in the 1970's by Slater and, independently, by Harary and Melter. In this paper, we concentrate on the exis…

cs.IT2026

Unique Insertion Error Patterns in Levenshtein's Reconstruction Problem

Ville Junnila, Tero Laihonen, Tuomo Lehtilä +1

Levenshtein's sequence reconstruction model plays an essential role in information retrieval of advanced memory systems, such as the DNA-based storage systems. In the model, a word…

math.CO2026

The Size of the Intersection of -ary Hamming Balls

Ville Junnila, Tero Laihonen, Tuomo Lehtilä +1

The interest in studying the size of the intersection of multiple -ary Hamming balls has grown due to the recent advances in DNA-based data storage systems. We present an exact…

math.CO2025

New Results on Vertices that Belong to Every Minimum Locating-Dominating Code

Ville Junnila, Tero Laihonen, Havu Miikonen

Locating-dominating codes have been studied widely since their introduction in the 1980s by Slater and Rall. In this paper, we concentrate on vertices that must belong to all minim…

cs.IT2025

Levenshtein's Sequence Reconstruction Problem and Results for Larger Alphabet Sizes

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

The problem of storing large amounts of information safely for a long period of time has become essential. One of the most promising new data storage mediums are the polymer-based…

cs.IT2024

On Unique Error Patterns in the Levenshtein's Sequence Reconstruction Model

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

In the Levenshtein's sequence reconstruction problem a codeword is transmitted through channels and in each channel a set of errors is introduced to the transmitted word. In pr…

cs.DM2024

On Iiro Honkala's contributions to identifying codes

Olivier Hudry, Ville Junnila, Antoine Lobstein

A set of vertices in a graph is an identifying code if it is dominating and any two vertices of are dominated by distinct sets of codewords. This paper presents a…

cs.DM2023★ 1 cited

New Optimal Results on Codes for Location in Graphs

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

In this paper, we broaden the understanding of the recently introduced concepts of solid-locating-dominating and self-locating-dominating codes in various graphs. In particular, we…

cs.IT2022

The Levenshtein's Sequence Reconstruction Problem and the Length of the List

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

In the paper, the Levenshtein's sequence reconstruction problem is considered in the case where at most substitution errors occur in each of the channels and the decoder ou…

math.CO2022★ 4 cited

On the unicyclic graphs having vertices that belong to all their (strong) metric bases

Anni Hakanen, Ville Junnila, Tero Laihonen +1

A metric basis in a graph is a smallest possible set of vertices of , with the property that any two vertices of are uniquely recognized by using a vector of distanc…

math.CO2021★ 1 cited

On Vertices Contained in All or in No Metric Basis

Anni Hakanen, Ville Junnila, Tero Laihonen +1

A set is a resolving set of a graph if for all distinct vertices there exists an element such that . The metric…

math.CO2021

Improved Lower Bound for Locating-Dominating Codes in Binary Hamming Spaces

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

In this article, we study locating-dominating codes in binary Hamming spaces . Locating-dominating codes have been widely studied since their introduction in 1980s by…

math.CO2020★ 5 cited

On the Metric Dimensions for Sets of Vertices

Anni Hakanen, Ville Junnila, Tero Laihonen +1

Resolving sets were originally designed to locate vertices of a graph one at a time. For the purpose of locating multiple vertices of the graph simultaneously, -resolving…

math.CO2018★ 2 cited

On Stronger Types of Locating-dominating Codes

Ville Junnila, Tero Laihonen, Tuomo Lehtilä +1

Locating-dominating codes in a graph find their application in sensor networks and have been studied extensively over the years. A locating-dominating code can locate one object in…

math.CO2018

Solving a Conjecture on Identification in Hamming Graphs

Ville Junnila, Tero Laihonen, Tuomo Lehtilä

Identifying codes in graphs have been widely studied since their introduction by Karpovsky, Chakrabarty and Levitin in 1998. In particular, there are a lot of results regarding the…

cs.DM2018

Optimal bounds on codes for location in circulant graphs

Ville Junnila, Tero Laihonen, Gabrielle Paris

Identifying and locating-dominating codes have been studied widely in circulant graphs of type over the recent years. In 2013, Ghebleh and Niepel studied loca…

math.CO2017

Solving Two Conjectures regarding Codes for Location in Circulant Graphs

Ville Junnila, Tero Laihonen, Gabrielle Paris

Identifying and locating-dominating codes have been widely studied in circulant graphs of type , which can also be viewed as power graphs of cycles. Recently,…

math.CO2012★ 1 cited

Optimal lower bound for 2-identifying code in the hexagonal grid

Ville Junnila, Tero Laihonen

An -identifying code in a graph is a subset such that for each the intersection of and the ball of radius centered at is non-em…

math.CO2012

New lower bound for 2-identifying code in the square grid

Ville Junnila

An -identifying code in a graph is a subset such that for each the intersection of and the ball of radius centered at is nonemp…

cs.IT2011

Tolerant identification with Euclidean balls

Ville Junnila, Tero Laihonen, Aline Parreau

The concept of identifying codes was introduced by Karpovsky, Chakrabarty and Levitin in 1998. The identifying codes can be applied, for example, to sensor networks. In this paper,…