{"id":"W2150787908","doi":"10.1002/wcm.125","title":"Power‐aware broadcasting and activity scheduling in ad hoc wireless networks using connected dominating sets","year":2003,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Connected dominating set; Dominating set; Wireless ad hoc network; Broadcasting (networking); Mobile ad hoc network; Network packet; Distributed computing; Scheduling (production processes); Flooding (psychology); Wireless; Telecommunications; Algorithm; Theoretical computer science; Minimum spanning tree; Graph","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653331,0.0008251801,0.0009307022,0.000838092,0.0006325404,0.0008390528,0.001401296,0.0006380405,0.0004897537],"category_scores_gemma":[0.002707639,0.0003220537,0.000544772,0.0009416133,0.0007700323,0.001144408,0.000712279,0.0004891048,0.0001674807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009472255,"about_ca_system_score_gemma":0.0006761987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430905,"about_ca_topic_score_gemma":0.001209659,"domain_scores_codex":[0.998893,0.0005331034,0.00006825844,0.0001529938,0.0002886662,0.0000640513],"domain_scores_gemma":[0.9981726,0.00101816,0.0001865956,0.0001562652,0.0003420392,0.0001243912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001366479,0.0001170315,0.0007956664,0.0001898229,0.00009465434,0.0001742106,0.0002556408,0.8604072,0.01383731,0.0254962,0.001214702,0.09728079],"study_design_scores_gemma":[0.00002805434,0.0001308242,0.0001863605,0.00001197596,0.00002417785,0.0000691545,0.0000265343,0.9843988,0.003231077,0.009821229,0.002058208,0.00001359252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0412249,0.0008134751,0.9543939,0.0001651304,0.0001033435,0.0001555832,0.00003113944,0.0001814733,0.002930987],"genre_scores_gemma":[0.7426829,0.0008946337,0.2532009,0.0001213487,0.00009552875,0.0003094633,0.0001364646,0.00006025509,0.002498556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001653331,"threshold_uncertainty_score":0.008743763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313554159489637,"score_gpt":0.2830451877624542,"score_spread":0.2599096461675579,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}