Zong-Long Chen

dblp:154/0020 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Distributed computing theory · 44% Algorithmic game theory and mechanism design · 44% Graph algorithms and graph theory · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed computing theory
self-stabilization
0.212014
Game-Theoretic Approach to Self-Stabilizing Distributed Formation of Minimal Multi-Dominating Sets · IEEE Trans. Parallel Distributed Syst. 2014
Graph algorithms and graph theory
dominating set
0.112014
Game-Theoretic Approach to Self-Stabilizing Distributed Formation of Minimal Multi-Dominating Sets · IEEE Trans. Parallel Distributed Syst. 2014

Methods — techniques the papers use, named apart from their topics

simulation · 0.2guarded commands · 0.2game theory · 0.2
YearPublicationVenuePosition
2014 Game-Theoretic Approach to Self-Stabilizing Distributed Formation of Minimal Multi-Dominating Sets
abstract
Dominating set is a subset of nodes called dominators in a graph such that every non-dominator nodes (called dominatee) is adjacent to at least one dominator. This paper considers a more general multi-dominating problem where each node$i$, dominator or dominatee, is required to have at least$k_i$neighboring dominators, and different node can have different$k_i$value. We first propose a game design toward this problem. This game is self-stabilizing (i.e., it always ends up with a legitimate state regardless of its initial configuration). The obtained result is guaranteed minimal (i.e., it contains no proper subset that is also a multi-dominating set) and Pareto optimal (we cannot increase the payoff of some player without sacrificing the payoff of any other). We then point out challenges when turning the design into a distributed algorithm using guarded commands. We present an algorithm that is proved weakly stabilizing. Simulation results show that the proposed game and algorithm produce smaller dominating sets,$k$-dominating sets, and multi-dominating sets in various network topologies when compared with prior approaches.
Li-Hsing Yen, Zong-Long Chen
IEEE Trans. Parallel Distributed Syst.2