{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81789"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81789","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Communication-Centric Energy Conservation for Multi-Hop Wireless Networks","abstract":"Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","abstract_html":"Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","abstract_has_math":false,"creators":["Sengul, Cigdem"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Robin Kravets"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:20:28Z","date_published":"2015-09-25T20:20:28Z","updated_at":"2026-07-22T22:26:16Z","subjects":["Computer Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3290371"],"render_values":[{"text":"(MiAaPQ)AAI3290371","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81789","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Robin Kravets"]},{"key":"dc:creator","label":"Author","values":["Sengul, Cigdem"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:20:28Z","10000-01-01","2007"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"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"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/81789","(MiAaPQ)AAI3290371"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","From our experiences with energy-efficient network design, we observed that: (1) idling energy should be the primary target for energy conservation, (2) any energy conservation solution cost prohibitive with increasing overhead, and (3) minimizing energy consumption does not necessarily improve network lifetime. Therefore, in the second part of the thesis, we formulate solutions to each of these problems. To reduce idling energy, we propose a bulk-communication protocol that achieves high energy savings from using a high-power radio for data communication and a low-power radio for network maintenance. To reduce control and data overhead, respectively, we present two protocols: (1) adaptive route recovery and (2) probability-based broadcast forwarding. Finally, to balance energy consumption in the network, we propose re-distributing traffic locally based on the remaining energy of nodes.","Made available in DSpace on 2015-09-25T20:20:28Z (GMT). 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Therefore, in the second part of the thesis, we formulate solutions to each of these problems. To reduce idling energy, we propose a bulk-communication protocol that achieves high energy savings from using a high-power radio for data communication and a low-power radio for network maintenance. To reduce control and data overhead, respectively, we present two protocols: (1) adaptive route recovery and (2) probability-based broadcast forwarding. Finally, to balance energy consumption in the network, we propose re-distributing traffic locally based on the remaining energy of nodes.","Made available in DSpace on 2015-09-25T20:20:28Z (GMT). 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