Utilizing AI planning on the edge

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• dc.contributor.author Murturi, Ilir
• dc.contributor.author Egyed, Adam
• dc.contributor.author Dustdar, Schahram
• dc.date.accessioned 2023-07-25T07:45:22Z
• dc.date.available 2023-07-25T07:45:22Z
• dc.date.issued 2022
• dc.description.abstract The convergence between AI planning techniques and the Internet of Things (IoT) can solve various operational and business challenges. However, IoT systems’ stringent requirements such as latency and scalability have introduced several challenges to execute and scale planners in cloud environments. Edge computers placed close to the IoT domain (e.g., sensors) can be leveraged for implementing planners and overcoming scalability issues. We propose a conceptual framework highlighting executing Expressive Numeric Heuristic Search Planner on distributed devices in edge networks. As a proof of concept, we develop a simulator to show the applicability and feasibility of running planners on the edge. As a case study, we simulate a waste management problem and find the optimal route for disposing of? waste bins in a city. Throughout the experiments, the user can discover insightful information regarding the planner’s applicability on the edge.
• dc.description.sponsorship This work was supported in part by the “Smart Communities and Technologies (Smart CT)” and it has received funding from the EU’s Horizon 2020 Research and Innovation Programme under grant agreement No. 871525.
• dc.format.mimetype application/pdf
• dc.identifier.citation Murturi I, Egyed A, Dustdar S. Utilizing AI planning on the edge. IEEE Internet Comput. 2022;26(2):28-35. DOI: 10.1109/MIC.2021.3073434
• dc.identifier.doi http://dx.doi.org/10.1109/MIC.2021.3073434
• dc.identifier.issn 1089-7801
• dc.identifier.uri http://hdl.handle.net/10230/57651
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof IEEE Internet Computing. 2022;26(2):28-35.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/871525
• dc.rights This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Internet of Things
• dc.subject.keyword Performance evaluation
• dc.subject.keyword Smart cities
• dc.subject.keyword Scalability
• dc.subject.keyword Artificial intelligence
• dc.subject.keyword Sensors
• dc.subject.keyword Waste management
• dc.title Utilizing AI planning on the edge
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion