{"id":"W77802288","doi":"10.4018/978-1-61520-701-5.ch009","title":"Joint Link Scheduling and Topology Control for Wireless Sensor Networks with SINR Constraints","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Scheduling (production processes); Network topology; Distributed computing; Topology control; Topology (electrical circuits); Key distribution in wireless sensor networks; Wireless network; Wireless; Engineering; Mathematical optimization; Mathematics; Telecommunications","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":[0.000707645,0.001040612,0.0006499261,0.0004532954,0.0003625897,0.001238195,0.001033451,0.0006291775,0.004464532],"category_scores_gemma":[0.001357025,0.0003831884,0.0004704296,0.0016573,0.0006644255,0.002282553,0.0006118355,0.001438174,0.001346439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007493693,"about_ca_system_score_gemma":0.0007490256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008946322,"about_ca_topic_score_gemma":0.001123637,"domain_scores_codex":[0.9996563,0.00008791355,0.00001901679,0.00005920039,0.0001530732,0.00002435218],"domain_scores_gemma":[0.9995186,0.0002945634,0.00004103956,0.00005426168,0.00006792347,0.00002364971],"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":[0.00007561471,0.00008980471,0.0001747145,0.0006580214,0.00003994538,0.0001203892,0.0002148505,0.2189829,0.004160601,0.3930472,0.01923784,0.3631981],"study_design_scores_gemma":[0.00004462783,0.0001896421,0.0003759401,0.0002834193,0.00004428294,0.0002457395,0.00012754,0.4561002,0.002943539,0.3459423,0.1936617,0.00004096491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006258551,0.02420635,0.9097884,0.0009348778,0.001087722,0.00008775562,0.0001206412,0.0003353581,0.05718044],"genre_scores_gemma":[0.2450898,0.07278769,0.568288,0.000737349,0.003193865,0.0006164096,0.0007786249,0.0006001406,0.1079082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004464532,"threshold_uncertainty_score":0.01493537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247217908931112,"score_gpt":0.22321096873052,"score_spread":0.2107387896412089,"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."}}