Autonomous construction agents: An investigative framework for large sensor network self-management

dc.contributor.advisor Kenneth M. Bryden Koch, Joshua
dc.contributor.department Mechanical Engineering 2018-08-11T05:33:58.000 2020-06-30T02:35:58Z 2020-06-30T02:35:58Z Tue Jan 01 00:00:00 UTC 2008 2013-06-05 2008-01-01
dc.description.abstract <p>Recent technological advances have made it cost effective to utilize massive, heterogeneous sensor networks. To gain appreciable value from these informational systems, there must be a control scheme that coordinates information flow to produce meaningful results. This paper will focus on tools developed to manage the coordination of autonomous construction agents using stigmergy, in which a set of basic low-level rules are implemented through various environmental cues. Using VE-Suite, an open-source virtual engineering software package, an interactive environment is created to explore various informational configurations for the construction problem. A simple test case is developed within the framework, and construction times are analyzed for possible functional relationships pertaining to performance of a particular set of parameters and a given control process. Initial experiments for the test case show sensor saturation occurs relatively quickly with 5-7 sensors, and construction time is generally independent of sensor range except for small numbers of sensors. Further experiments using this framework are needed to define other aspects of sensor performance. These trends can then be used to help decide what kinds of sensing capabilities are required to simultaneously achieve the most cost-effective solution and provide the required value of information when applied to the development of real world sensor applications.</p>
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dc.identifier archive/
dc.identifier.articleid 2464
dc.identifier.contextkey 2807662
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/11478
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 18:50:58 UTC 2022
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords autonomous agent
dc.subject.keywords extended stigmergy
dc.subject.keywords self-management
dc.subject.keywords sensor network
dc.title Autonomous construction agents: An investigative framework for large sensor network self-management
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59 thesis Master of Science
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