{"id":"W2159680528","doi":"10.1109/icc.2011.5963520","title":"Power-Optimized Routing with Bandwidth Guarantee in Multihop Relaying Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Multipath routing; Dynamic Source Routing; Destination-Sequenced Distance Vector routing; Static routing; Link-state routing protocol; Time division multiple access; Routing (electronic design automation); Geographic routing; Distributed computing; Bandwidth (computing); Routing protocol","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070409,0.0001463465,0.0001850209,0.0001019201,0.0001676166,0.00008955377,0.0008659433,0.00005108276,0.0001185607],"category_scores_gemma":[0.00003085645,0.0001127712,0.00003617719,0.0006247018,0.00003824868,0.0004535382,0.0003638756,0.0002751485,0.00001719935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003727413,"about_ca_system_score_gemma":0.00003288327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000030134,"about_ca_topic_score_gemma":0.0001163069,"domain_scores_codex":[0.9988244,0.0001559865,0.0002696134,0.0003124018,0.0001217092,0.0003158652],"domain_scores_gemma":[0.9989643,0.0001293502,0.00008024403,0.0006985114,0.0000785685,0.00004906455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003736127,0.0006201973,0.0489898,0.000009242763,0.0001161763,0.0001657158,0.03591449,0.03339368,0.0003230253,0.6747574,0.0009479716,0.2043887],"study_design_scores_gemma":[0.001344713,0.00007521187,0.007045947,0.00008650983,0.000002129532,0.00001243626,0.0001384646,0.9905117,0.000141989,0.0001081393,0.0002751827,0.0002575702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01521906,0.0002118925,0.9263395,0.0002072666,0.00009888702,0.0001756831,5.537889e-8,0.0001996083,0.05754805],"genre_scores_gemma":[0.8487062,0.0002006895,0.1503876,0.0004192932,0.00001025527,0.00001351127,5.786083e-7,0.000009103309,0.0002526739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.957118,"threshold_uncertainty_score":0.4598675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632910076010904,"score_gpt":0.2436605942133251,"score_spread":0.207331493453216,"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."}}