{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/111469"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/111469","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Power Efficient Wireless Sensor Node through Edge Intelligence","abstract":"Edge intelligence can reduce power dissipation to enable power-hungry long-range wireless applications. This work applies edge intelligence to quantify the reduction in power dissipation. We designed a wireless sensor node with a LoRa radio and implemented a decision tree classifier, in situ, to classify behaviors of cattle. We estimate that employing edge intelligence on our wireless sensor node reduces its average power dissipation by up to a factor of 50, from 20.10 mW to 0.41 mW. 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We also observe that edge intelligence increases the link budget without significantly affecting average power dissipation.","abstract_has_math":false,"creators":["Damle, Abhishek Priyadarshan"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Electrical Engineering","degree_department":"Electrical Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Ha, Dong S."],"committee_members":["Yi, Yang","Jones, Creed F. III"],"year":2022,"date_issued":"2022-08-04","date_published":"2022-08-04","updated_at":"2026-07-22T22:19:07Z","subjects":["Edge intelligence","LoRaWAN","smart farm","cattle behavior","decision tree classifier"],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:35384"],"render_values":[{"text":"vt_gsexam:35384","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/111469","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Ha, Dong S."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Yi, Yang","Jones, Creed F. 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We estimate that transmitting processed data dissipates up to 50 times less power when compared to transmitting raw data. Due to the properties of our transmission protocol, we also observe that transmitting processed data increases the range of transmissions without impacting power dissipation."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:title","label":"Title","values":["Power Efficient Wireless Sensor Node through Edge Intelligence"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Ha, Dong S."],"dc:contributor.committeemember":["Yi, Yang","Jones, Creed F. 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