{"id":"W2477462074","doi":"10.4018/978-1-4666-0321-9.ch001","title":"Mobility Prediction and Mobile-aware Routing Protocols in MANETs","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Mobile ad hoc network; Computer science; Mobility model; Wireless ad hoc network; Node (physics); Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Wireless network; Ad hoc wireless distribution service; Routing protocol; Distributed computing; Wireless; Routing (electronic design automation); Engineering; Telecommunications; Network packet","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":[0.0005211559,0.001154805,0.0007536989,0.0008362613,0.0004518468,0.001804113,0.001430595,0.001357392,0.004172924],"category_scores_gemma":[0.001962865,0.0005048321,0.0005083539,0.00291467,0.0007201915,0.004261388,0.0009703272,0.002371406,0.0030499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366206,"about_ca_system_score_gemma":0.0005612837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009706689,"about_ca_topic_score_gemma":0.0008047834,"domain_scores_codex":[0.9995845,0.0001055574,0.00002429852,0.00008941146,0.0001692665,0.00002690129],"domain_scores_gemma":[0.9995059,0.0003018407,0.00004150838,0.00006105795,0.00007265244,0.00001710178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000525432,0.00008879998,0.000487439,0.00151927,0.00007427722,0.000322905,0.0002779124,0.05923966,0.002548127,0.204209,0.04664633,0.6845337],"study_design_scores_gemma":[0.00002329925,0.0001886888,0.001067091,0.00143035,0.0001134174,0.001300663,0.0002532828,0.1615068,0.003321067,0.3237697,0.5068896,0.0001360924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.007004557,0.4971446,0.4072661,0.00488827,0.005441009,0.000207545,0.0003709202,0.001400852,0.07627616],"genre_scores_gemma":[0.1264026,0.623919,0.1758486,0.001656681,0.005809106,0.0003738725,0.001286348,0.0004061871,0.06429759],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004172924,"threshold_uncertainty_score":0.01395983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994936830193885,"score_gpt":0.2603103483047065,"score_spread":0.2403609800027676,"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."}}