Impact of Knowledge on Election Time in Anonymous Networks
Yoann Dieudonn\'e, Andrzej Pelc

TL;DR
This paper investigates how the amount of initial knowledge (advice) affects the time needed for leader election in anonymous networks, establishing bounds and tradeoffs for different time constraints.
Contribution
It introduces a framework for analyzing the tradeoff between advice size and election time, providing tight bounds and showing constant advice is insufficient for all graphs.
Findings
Bounds on advice size for leader election at different times
Constant advice is insufficient for all graphs
Tradeoffs between advice size and election time
Abstract
Leader election is one of the basic problems in distributed computing. For anonymous networks, the task of leader election is formulated as follows: every node v of the network must output a simple path, which is coded as a sequence of port numbers, such that all these paths end at a common node, the leader. In this paper, we study deterministic leader election in arbitrary anonymous networks. It is well known that leader election is impossible in some networks, regardless of the allocated amount of time, even if nodes know the map of the network. However, even in networks in which it is possible to elect a leader knowing the map, the task may be still impossible without any knowledge, regardless of the allocated time. On the other hand, for any network in which leader election is possible knowing the map, there is a minimum time, called the election index, in which this can be done.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Distributed systems and fault tolerance
