An adaptive immune algorithm for service-oriented agricultural Internet of Things
Tài liệu tham khảo
Geyik, 2013, Robust dynamic service composition in sensor networks, IEEE Trans. Serv. Comput., 6, 560, 10.1109/TSC.2012.26
Klein, 2014, SanGA: a self-adaptive network-aware approach to service composition, IEEE Trans. Serv. Comput., 7, 452, 10.1109/TSC.2013.2
Ding, 2015, A transaction and QoS-aware service selection approach based on genetic algorithm, IEEE Trans. Syst. Man Cybern. Syst., 45, 1035, 10.1109/TSMC.2015.2396001
Mardukhi, 2013, QoS decomposition for service composition using genetic algorithm, Appl. Soft Comput., 13, 3409, 10.1016/j.asoc.2012.12.033
Ding, 2007, A bio-inspired emergent system for intelligent Web service composition and management, Knowl. Based Syst., 20, 457, 10.1016/j.knosys.2007.01.007
Ding, 2007, Communication mechanisms in ecological network-based grid middleware for service emergence, Inf. Sci., 177, 722, 10.1016/j.ins.2006.08.005
Li, 2014, QoS-aware scheduling of services-oriented Internet of Things, IEEE Trans. Ind. Inf., 10, 1497, 10.1109/TII.2014.2306782
Ding, 2013, An intelligent self-organization scheme for the Internet of Things, IEEE Comput. Intell. Mag., 8, 41, 10.1109/MCI.2013.2264251
Perera, 2014, Sensor search techniques for sensing as a service architecture for the Internet of Things, IEEE Sens. J., 14, 406, 10.1109/JSEN.2013.2282292
Jin, 2017, A fast and scalable approach for IoT service selection based on a physical service model, Inf. Syst. Front., 19, 1357, 10.1007/s10796-016-9650-1
Yim, 2017, Description and classification for facilitating interoperability of heterogeneous data/events/services in the Internet of Things, Neurocomputing, 256, 13, 10.1016/j.neucom.2016.03.115
Khanouche, 2016, Energy-centered and QoS-aware services selection for Internet of Things, IEEE Trans. Autom. Sci. Eng., 13, 1256, 10.1109/TASE.2016.2539240
Angelakis, 2016, Allocation of heterogeneous resources of an IoT device to flexible services, IEEE Internet Things J., 3, 691, 10.1109/JIOT.2016.2535163
Cui, 2017, Review: multi-objective optimization methods and application in energy saving, Energy, 125, 681, 10.1016/j.energy.2017.02.174
Greensmith, 2010, Artificial immune systems, 146, 421
Dasgupta, 2011, Recent advances in artificial immune systems: models and applications, Appl. Soft Comput., 11, 1574, 10.1016/j.asoc.2010.08.024
Xu, 2014, Immunological mechanism inspired iterative learning control, Neurocomputing, 145, 392, 10.1016/j.neucom.2014.05.013
Ding, 2016, A rule-driven multi-path routing algorithm with dynamic immune clustering for event-driven wireless sensor networks, Neurocomputing, 203, 139, 10.1016/j.neucom.2016.03.052
Akira, 2006, Pathogen recognition and innate immunity, Cell, 124, 783, 10.1016/j.cell.2006.02.015
Cooper, 2006, The evolution of adaptive immune systems, Cell, 124, 815, 10.1016/j.cell.2006.02.001
Yu, 2015, Adaptive noise immune cluster ensemble using affinity propagation, IEEE Trans. Knowl. Data Eng., 27, 3176, 10.1109/TKDE.2015.2453162
Zhong, 2012, An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery, IEEE Trans. Geosci. Remote Sens., 50, 894, 10.1109/TGRS.2011.2162589
Abo-Zahhad, 2015, Mobile sink-based adaptive immune energy-efficient clustering protocol for improving the lifetime and stability period of wireless sensor networks, IEEE Sens. J., 15, 4576, 10.1109/JSEN.2015.2424296
Shao, 2004, An adaptive immune optimization algorithm for energy minimization problems, J. Chem. Phys., 120, 11401, 10.1063/1.1753257
He, 2013, Advancement and trend of Internet of Things in agriculture and sensing instrument, Trans. Chin. Soc. Agric. Mach., 44, 216
Ge, 2014, State-of-the-art and developing strategies of agricultural Internet of Things, Trans. Chin. Soc. Agric. Mach., 45, 222
Jayaraman, 2016, Internet of Things platform for smart farming: experiences and lessons learnt, Sensors, 16, 1, 10.3390/s16111884
Ferrández-Pastor, 2016, Developing ubiquitous sensor network platform using Internet of Things: application in precision agriculture, Sensors, 16, 1, 10.3390/s16071141
Mei, 2015, A profit maximization scheme with guaranteed quality of service in cloud computing, IEEE Trans. Comput., 64, 3064, 10.1109/TC.2015.2401021
Cao, 2013, Optimal multiserver configuration for profit maximization in cloud computing, IEEE Trans. Parallel Distrib. Syst., 24, 1087, 10.1109/TPDS.2012.203
Honda, 2016, The microbita in adaptive immune homeostasis and disease, Nature, 535, 75, 10.1038/nature18848
Yao, 2016, An immune system-inspired rescheduling algorithm for workflow in cloud systems, Knowl. Based Syst., 99, 39, 10.1016/j.knosys.2016.01.037
Iwasaki, 2015, Control of adaptive immunity by the innate immune system, Nature Immunol., 16, 343, 10.1038/ni.3123
Pittman, 2011, A neuro-endocrine-immune symphony, J. Neuroendocrinol., 23, 1296, 10.1111/j.1365-2826.2011.02176.x
Farhy, 2004, Modeling of oscillations in endocrine networks with feedback, Methods Enzymol., 384, 54, 10.1016/S0076-6879(04)84005-9