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University of Essex

Representing shortest paths in graphs using Bloom filters without false positives and applications to routing in computer networks

Abstract

dc:description.abstract

A Bloom filter is data structure for representing sets in a compressed form, which has many applications. Bloom filters save time and space, but produce errors known as false positives. In this thesis, a new approach is suggested. Instead of choosing labels for edges in graphs at random (as is done in the standard Bloom filter approach), labels for edges are chosen based on the graph and the position of an edge in the graph. It is shown that under some assumptions (the graph is known, and only shortest paths are encoded), there will be no false positives leading to a message being delivered to a wrong node.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
University of Essex
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Çaylak Kayaturan, Gökçe

Subjects

dc:subject × 2

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of Essex
Base URL
repository.essex.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Çaylak Kayaturan, Gökçe. Representing shortest paths in graphs using Bloom filters without false positives and applications to routing in computer networks. doctoral thesis, University of Essex, 2018.