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Evolutionary and principled search strategies for sensornet protocol optimization
University of York.
University of Birmingham.
University of York.ORCID iD: 0000-0003-2415-8219
University of Birmingham.
2012 (English)In: IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, ISSN 1083-4419, E-ISSN 1941-0492, Vol. 42, no 1, p. 163-180Article in journal (Refereed) Published
Abstract [en]

Interactions between multiple tunable protocol parameters and multiple performance metrics are generally complex and unknown; finding optimal solutions is generally difficult. However, protocol tuning can yield significant gains in energy efficiency and resource requirements, which is of particular importance for sensornetsystems in which resource availability is severely restricted. We address this multi-objective optimization problem for two dissimilar routing protocols and by two distinct approaches. First, we apply factorial design and statistical model fitting methods to reject insignificant factors and locate regions of the problem space containing near-optimal solutions by principled search. Second, we apply the Strength Pareto Evolutionary Algorithm 2 and Two-Archive evolutionary algorithms to explore the problem space, with each iteration potentially yielding solutions of higher quality and diversity than the preceding iteration. Whereas a principledsearch methodology yields a generally applicable survey of the problem space and enables performance prediction, the evolutionary approach yields viable solutions of higher quality and at lower experimental cost. This is the first study in which sensornet protocol optimization has been explicitly formulated as a multi-objective problem and solved with state-of-the-art multi-objective evolutionary algorithms.

Place, publisher, year, edition, pages
2012. Vol. 42, no 1, p. 163-180
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23812DOI: 10.1109/TSMCB.2011.2161466ISI: 000302096700013Scopus ID: 2-s2.0-84856325471OAI: oai:DiVA.org:mdh-23812DiVA, id: diva2:682475
Available from: 2013-12-27 Created: 2013-12-19 Last updated: 2017-12-06Bibliographically approved

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Bate, Iain

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
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Output format
  • html
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  • asciidoc
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