{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/84085"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/84085","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Energy Awareness in Mobile Embedded Systems","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Ghanei, Farshad; 0000-0002-8325-588X"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Dantu, Karthik","Computer Science and Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-06-21T15:47:47Z","date_published":"2022-06-21T15:47:47Z","updated_at":"2026-07-27T19:05:30Z","subjects":["computer science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/84085","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dantu, Karthik","Computer Science and Engineering"]},{"key":"dc:creator","label":"Author","values":["Ghanei, Farshad; 0000-0002-8325-588X"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-06-21T15:47:47Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computer science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/84085"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Recent trends in technology have seen computation move from laptops and desktops to mobile devices such as smartphones and tablets, wearables, Internet of Things, and robots. One of the primary changes in this transformation is the reliance on batteries for power, limiting their overall performance time. Therefore, it is important to consider energy expenditure in task planning, defining policies, and characterizing the performance of such systems.In my thesis, I study embedded devices that are battery powered, and introduce ways that we can make them energy aware and energy efficient. I focus on the energy measurement of various systems and show how online energy measurement can be beneficial for modeling, planning, and online decision making. I introduce a software architecture that allows the system to track and allocate its energy use. Furthermore, I use specialized hardware to study the energy consumption of the system. This energy profile is used to plan a mission more efficiently, which can lead up to 15% longer run time of the system. I also show how the choice of system configuration and online decision making can affect mission time and performance on a UAV. Thesis statement: Per-component and per-task energy measurements allow us to better build embedded systems designed for energy efficiency.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Energy Awareness in Mobile Embedded Systems"]}]}],"canonical_facts":{"dc:contributor":["Dantu, Karthik","Computer Science and Engineering"],"dc:creator":["Ghanei, Farshad; 0000-0002-8325-588X"],"dc:date":["2022-06-21T15:47:47Z","2020"],"dc:description":["Ph.D.","Recent trends in technology have seen computation move from laptops and desktops to mobile devices such as smartphones and tablets, wearables, Internet of Things, and robots. One of the primary changes in this transformation is the reliance on batteries for power, limiting their overall performance time. Therefore, it is important to consider energy expenditure in task planning, defining policies, and characterizing the performance of such systems.In my thesis, I study embedded devices that are battery powered, and introduce ways that we can make them energy aware and energy efficient. I focus on the energy measurement of various systems and show how online energy measurement can be beneficial for modeling, planning, and online decision making. I introduce a software architecture that allows the system to track and allocate its energy use. Furthermore, I use specialized hardware to study the energy consumption of the system. This energy profile is used to plan a mission more efficiently, which can lead up to 15% longer run time of the system. I also show how the choice of system configuration and online decision making can affect mission time and performance on a UAV. Thesis statement: Per-component and per-task energy measurements allow us to better build embedded systems designed for energy efficiency.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/84085"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["computer science"],"dc:title":["Energy Awareness in Mobile Embedded Systems"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:30Z"}