The Power of Global Knowledge on Self-stabilizing Population Protocols

Autor: Sudo, Yuichi, Shibata, Masahiro, Nakamura, Junya, Kim, Yonghwan, Masuzawa, Toshimitsu
Rok vydání: 2020
Předmět:
Druh dokumentu: Working Paper
Popis: In the population protocol model, many problems cannot be solved in a self-stabilizing way. However, global knowledge, such as the number of nodes in a network, sometimes allows us to design a self-stabilizing protocol for such problems. In this paper, we investigate the effect of global knowledge on the possibility of self-stabilizing population protocols in arbitrary graphs. Specifically, we clarify the solvability of the leader election problem, the ranking problem, the degree recognition problem, and the neighbor recognition problem by self-stabilizing population protocols with knowledge of the number of nodes and/or the number of edges in a network.
Databáze: arXiv