{"id":"W2528637035","doi":"10.1007/s12083-016-0515-7","title":"Distributed rate control, routing, and energy management in dynamic rechargeable sensor networks","year":2016,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Computer science; Scalability; Mathematical optimization; Routing (electronic design automation); Distributed computing; Constraint (computer-aided design); Flow routing; Energy (signal processing); Maximization; Wireless sensor network; Computer network; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002141229,0.0006824928,0.001126376,0.0005649466,0.000527308,0.001695982,0.001921242,0.0008811531,0.0007689687],"category_scores_gemma":[0.005030687,0.0004049813,0.0002895225,0.0009759853,0.00115031,0.002826494,0.0009520837,0.001014877,0.0001421388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010425,"about_ca_system_score_gemma":0.0006060232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260164,"about_ca_topic_score_gemma":0.002012373,"domain_scores_codex":[0.998822,0.0003246467,0.00008533751,0.0002577473,0.0004134706,0.0000966135],"domain_scores_gemma":[0.9981335,0.001117024,0.0002734089,0.0001855161,0.0002341779,0.00005642611],"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":[0.0002862518,0.0001087893,0.0008943646,0.0001710258,0.00007446054,0.0001578774,0.0002401687,0.7893968,0.009210439,0.07146072,0.002675924,0.1253232],"study_design_scores_gemma":[0.00001947254,0.00004542522,0.0002050268,0.000005244648,0.00001569848,0.00005936873,0.00002879343,0.9736616,0.00142546,0.02313752,0.001380302,0.00001595369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04857902,0.008365387,0.9369858,0.001283475,0.0004435461,0.00004888553,0.00006811607,0.0005451381,0.003680621],"genre_scores_gemma":[0.9518006,0.003261533,0.03990712,0.0001197867,0.0004655868,0.00007886114,0.00006622104,0.00008855999,0.004211757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002260164,"threshold_uncertainty_score":0.01132399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599880529336489,"score_gpt":0.2289612092993574,"score_spread":0.2213613287700209,"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."}}