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Election and traversal in unidirectional networks

Published: 02 June 2019 Publication History

Abstract

This paper presents distributed algorithms for election and traversal in strongly connected unidirectional networks. A unidirectional network consists of nodes which are processors connected by unidirectional communication links. Initially, processors differ by their identifier but are otherwise similar. The election algorithm distinguishes a single processor from all other processors. The election algorithm requires O(log n) bits of memory in each processor and has communication complexity of O(nm+n2log n) bits. In the traversal algorithm one node initiates a token which visits all the nodes of the network and returns to the initiator. The traversal algorithm is derived from the election algorithm. It achieves the same communication complexity and uses only O(1) bits of memory in each processor.

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cover image ACM Conferences
PODC '84: Proceedings of the third annual ACM symposium on Principles of distributed computing
August 1984
301 pages
ISBN:0897911431
DOI:10.1145/800222
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 June 2019

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