Spatio-temporal compressive sensing technique for data gathering and anomaly detection in wireless sensor networks

Q2SWinet 2017 - Proceedings of the 13th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Co-located with MSWiM 2017

Volumn , Issue , 2017, Pages 89-96

  Moussa, Mohamed Ali ^a   Ghamri Doudane, Yacine ^b  

^a UNIVERSITÉ PARIS EST   (France)

^b UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

Anomaly detection and correction; Compressive Sensing; Data gathering; Wireless Sensor Networks

Indexed keywords

COMPRESSED SENSING; CONVEX OPTIMIZATION; MOBILE TELECOMMUNICATION SYSTEMS; OPTIMIZATION; WIRELESS NETWORKS;

ANOMALY DETECTION; COMPRESSIVE SENSING; CONVEX OPTIMIZATION PROBLEMS; DATA GATHERING; DATA RECOVERING PROCESS; SPATIAL AND TEMPORAL CORRELATION; STATE-OF-THE-ART TECHNIQUES; WIRELESS SENSOR NETWORK (WSNS);

WIRELESS SENSOR NETWORKS;

EID: 85041203943     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3132114.3132121     Document Type: Conference Paper

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