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An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms.

, , , , and . Inf. Fusion, (2014)

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Genetic machine learning approach for data fusion applications in dense Wireless Sensor Networks., , , , and . ETFA, page 1177-1180. IEEE, (2008)(m, k)-firm pattern spinning to improve the GTS allocation of periodic messages in IEEE 802.15.4 networks., , and . EURASIP J. Wireless Comm. and Networking, (2013)Transparent Environment for Replicated Ravenscar Applications., and . Ada-Europe, volume 2361 of Lecture Notes in Computer Science, page 297-308. Springer, (2002)Assessment of the Interference caused by uncontrolled traffic sources upon real-time communication in IEEE 802.11-based mesh networks., , , , and . WFCS, page 59-62. IEEE, (2012)An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms., , , , and . Inf. Fusion, (2014)Preliminary results on the assessment of WirelessHART networks in transient fault scenarios., , , and . ETFA, page 1-4. IEEE, (2011)SAS: Slot allocation scheme for the IEEE 802.15.4e LLDN mode., , , and . IECON, page 4713-4718. IEEE, (2016)A WSN data retransmission mechanism based on network coding and cooperative relayers., , , , and . WFCS, page 1-4. IEEE, (2015)Special issue with selected papers from 2018 Brazilian Symposium on Computer Engineering (SBESC 2018)., and . Des. Autom. Embed. Syst., 24 (1): 1-2 (2020)Programming atomic multicast in CAN., , and . IRTAW, page 79-84. ACM, (2000)