{"id":"W1850074669","doi":"","title":"Dynamic allocation of sensor nodes in wireless sensor networks hosting multiple applications","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Computer network; Mobile wireless sensor network; Distributed computing; Popularity; State (computer science); Wireless; Wireless network; 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":[0.001403546,0.0005348511,0.0005592257,0.0005678329,0.0005693682,0.0006091502,0.0009623616,0.0004542061,0.0006233358],"category_scores_gemma":[0.004407285,0.0003786229,0.0002051539,0.0007271833,0.0005715959,0.001644834,0.0007224422,0.0003692746,0.0001500818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279248,"about_ca_system_score_gemma":0.0004557054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000706099,"about_ca_topic_score_gemma":0.001445798,"domain_scores_codex":[0.9990844,0.0004129057,0.00005971291,0.0001661705,0.0001810071,0.00009591765],"domain_scores_gemma":[0.9978109,0.001430254,0.000253677,0.0002314375,0.0001849928,0.00008869306],"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":[0.0007138481,0.0002047155,0.003617558,0.0001832118,0.00006629205,0.0001389504,0.0002544335,0.8103163,0.04619225,0.008301642,0.0005970605,0.1294136],"study_design_scores_gemma":[0.00002814421,0.0002823945,0.001531756,0.00001772732,0.00004209944,0.0001420769,0.0001260528,0.9752876,0.01296357,0.007426593,0.002124273,0.00002789351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4074526,0.002526362,0.5857298,0.0003256067,0.0001049974,0.0001748011,0.00004434998,0.0005023779,0.003139112],"genre_scores_gemma":[0.9609017,0.0003670474,0.03784738,0.00004817205,0.00002392274,0.00006231935,0.00002453349,0.00002971226,0.0006951888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001403546,"threshold_uncertainty_score":0.007422745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707989466750926,"score_gpt":0.2618547413342193,"score_spread":0.2447748466667101,"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."}}