Markov modulated Bi-variate gaussian processes for mobility modeling and location prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6640 LNCS, Issue PART 1, 2011, Pages 227-240

  Salvador, Paulo ^a   Nogueira, António ^a  

^a UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

location prediction; Markov model; mobility modeling; modulated bi variate Gaussian process

Indexed keywords

APPLICATION SCENARIO; COMPLEX DYNAMICS; COMPLEX ENVIRONMENTS; DISCRETE TIME; EMPIRICAL DATA; FUTURE POSITION; GAUSSIAN PROCESSES; GEOGRAPHIC REGIONS; LOCATION PREDICTION; MANAGEMENT TASKS; MARKOV CHAIN; MARKOV MODEL; MARKOVIAN; MOBILE NODES; MOBILITY MODEL; MOBILITY MODELING; MODELING APPROACH; MODULATED BI-VARIATE GAUSSIAN PROCESS; MOVEMENT PATTERN; NODE-BASED; SUB-REGIONS;

DYNAMICS; FORECASTING; GAUSSIAN NOISE (ELECTRONIC); INTERNET PROTOCOLS; MARKOV PROCESSES; MODELS; LOCATION;

GAUSSIAN DISTRIBUTION;

EID: 79955999368     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20757-0_18     Document Type: Conference Paper

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