{"id":"W2139389207","doi":"10.1109/tpds.2011.20","title":"Traffic-Aware Relay Node Deployment: Maximizing Lifetime for Data Collection Wireless Sensor Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Hong Kong Polytechnic University","keywords":"Computer science; Computer network; Relay; Wireless sensor network; Software deployment; Base station; Wireless; Key distribution in wireless sensor networks; Distributed computing; Wireless network; Telecommunications","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":[0.001436985,0.001501819,0.0009895896,0.0006973257,0.0004717154,0.0008242315,0.001877644,0.001501119,0.001085309],"category_scores_gemma":[0.005980551,0.0004992157,0.0007477608,0.001220988,0.0007443647,0.002496931,0.001434612,0.0008626826,0.0003841679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000918358,"about_ca_system_score_gemma":0.0005793911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000652601,"about_ca_topic_score_gemma":0.0006423444,"domain_scores_codex":[0.9992311,0.0003436898,0.00004226352,0.0001850819,0.0001196966,0.00007816574],"domain_scores_gemma":[0.9985759,0.0008750858,0.0001754672,0.00009900869,0.0001884793,0.00008609845],"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":[0.000107395,0.00008226995,0.0006353754,0.000572976,0.00005298659,0.0003312777,0.0002230055,0.8819666,0.01207407,0.03830551,0.004214307,0.06143416],"study_design_scores_gemma":[0.00001053413,0.0001168286,0.0001879265,0.000032923,0.00002527647,0.0002231421,0.00007525204,0.976926,0.002337696,0.01763653,0.002411128,0.00001685566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01807686,0.001244267,0.9776446,0.0004245426,0.00006828638,0.0000825962,0.0001001798,0.0001866257,0.002171974],"genre_scores_gemma":[0.7238093,0.005092478,0.2665152,0.0002018841,0.0003444286,0.0003668268,0.0003327649,0.0002465911,0.003090453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001877644,"threshold_uncertainty_score":0.007599533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648938453610427,"score_gpt":0.2401616709959154,"score_spread":0.1936722864598111,"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."}}