{"id":"W2095379324","doi":"10.1145/2641798.2641813","title":"Transmission power control-based opportunistic routing for wireless sensor networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Computer network; Computer science; Wireless sensor network; Routing protocol; Reliability (semiconductor); Network packet; Transmission (telecommunications); Forwarder; Wireless; Energy consumption; Power control; Geographic routing; Wireless Routing Protocol; Power (physics); Telecommunications; Engineering; Electrical engineering","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":[0.0007600518,0.0005885044,0.0004966488,0.0004695524,0.0004289647,0.0006429582,0.0009844721,0.0005180155,0.0005377959],"category_scores_gemma":[0.002201191,0.000238159,0.0003259948,0.0008413426,0.000613347,0.000895039,0.0005500396,0.0006217189,0.000144581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424318,"about_ca_system_score_gemma":0.000613845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403242,"about_ca_topic_score_gemma":0.001747214,"domain_scores_codex":[0.9994864,0.0001537543,0.00003218039,0.00006181332,0.0002303496,0.00003552458],"domain_scores_gemma":[0.9991328,0.0005101282,0.0001314182,0.00007746548,0.0001212967,0.00002704308],"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":[0.0001059405,0.00008959852,0.0006588646,0.0004651978,0.00009511018,0.000378666,0.000137976,0.7047226,0.01463407,0.09236601,0.004298587,0.1820474],"study_design_scores_gemma":[0.00001234839,0.00006704294,0.0001960509,0.00001843916,0.00002227435,0.0001446736,0.00001618308,0.9618922,0.00152784,0.03158875,0.004495927,0.00001829124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008811599,0.002559893,0.9844024,0.0002889467,0.0001775351,0.0000775197,0.00004301462,0.0003074871,0.003331554],"genre_scores_gemma":[0.7908711,0.005111855,0.1968616,0.000243676,0.0003386632,0.0003636351,0.0001430287,0.0001339028,0.00593263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001403242,"threshold_uncertainty_score":0.004019558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230350609875491,"score_gpt":0.2294692480212893,"score_spread":0.2171657419225344,"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."}}