{"id":"W2124007710","doi":"10.1109/lcn.2008.4664265","title":"Performance of IEEE 802.15.4 in wireless sensor networks with a mobile sink implementing various mobility strategies","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Computer science; Wireless sensor network; Mobility model; Sink (geography); Network packet; Distributed computing","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":[0.003035869,0.0007852011,0.000433953,0.0007173588,0.0004261085,0.0007402456,0.000694017,0.0007708266,0.0007101853],"category_scores_gemma":[0.007591878,0.0002042277,0.0002522524,0.0006143824,0.0005773146,0.001730186,0.0004948098,0.0004012805,0.000188874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244944,"about_ca_system_score_gemma":0.0005164608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679045,"about_ca_topic_score_gemma":0.002325579,"domain_scores_codex":[0.9986688,0.0004481441,0.00009285154,0.0001812084,0.0004090197,0.0001999612],"domain_scores_gemma":[0.9974879,0.001342822,0.0002637692,0.0002238315,0.0006163765,0.00006531373],"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":[0.002244547,0.0004551734,0.0157238,0.0004762151,0.00027974,0.0003209012,0.0004950213,0.802388,0.03864399,0.006372931,0.002199019,0.1304007],"study_design_scores_gemma":[0.00008868043,0.002234915,0.009550234,0.00005399256,0.0001737852,0.0004116202,0.00025711,0.9406285,0.04136312,0.003169589,0.001998186,0.00007029055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465142,0.002052149,0.04379793,0.0004023534,0.0001738979,0.00007917642,0.0001253638,0.0006385171,0.006216487],"genre_scores_gemma":[0.9929833,0.0004351611,0.005623707,0.0000464827,0.00001540351,0.00002804785,0.0001068885,0.00002790003,0.0007330242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003035869,"threshold_uncertainty_score":0.01605541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080372975556712,"score_gpt":0.2204641939821771,"score_spread":0.20966046422661,"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."}}