Page 393 - From Smart Grid to Internet of Energy
P. 393

358 Index


            ITU-T G.9904 PRIME standard (Continued)  6LoWPAN, 188–190
                structure, 149, 150f           Smart Utility Network, 185
                transmitter model, 148–149, 149f  6TiSCH, 190
              reference model, 148, 148f       WirelessHART, 187–188
            ITU-T G.9901 standard, 137         ZigBee technology, 186–187
            ITU-T G.9902 standard, 137       Low voltage (LV) lines, 133
              generic network architecture model,  LTE machine-type communications (LTE-M),
                 141–142, 142f                    286–288, 289t
              MAC layer, 143
              PHY layer, 142–143             M
              reference model, 140, 141f     macBeaconOrder (BO), 183
                                             Machine learning methods, 324
            J                                  algorithms, 324, 325t, 328–329
            Java Message Service API (JMS), 279–280  artificial neural networks, 324–326
                                               combinational models, 326
            K                                  data acquisition and preprocessing steps,
            k-anonymity, 331–332                  324–325
            Kernel based learning algorithms, 320  linear regression method, 326
                                               model selection of, 324–325
            L                                  process, 324
            Last-mile connectivity, 205        R and Weka, 326
            l-diversity, 331–332               reinforcement learning, 324
            Linear regression method, 326      selection and extraction, 324–325
            Line voltage, 164–165, 165f        supervised learning method, 324
            Link layer attacks, 87–88          support vector machines, 324–325
            Link quality indication (LQI), 182  training set and samples, 324
            Local area network (LAN), 7, 14–16, 37–38t,  unsupervised learning, 324
                 45, 99                      Machine-to-machine (M2M) communications,
            Local controller agent (LCA), 35      216–218, 273, 277–279
            Local monitoring, 95               attacks targeting, 282
            Logical link control (LLC), 141, 271  Data Distribution Service, 280
            Long-Term Evolution (LTE) technology,  frameworks, 252
                 198–199                       and H2M communications, 267, 279
            LoRaWAN protocol, 269, 287–288     IEEE 802.15.4, 274
            Low data rate (LDR) NB PLC, 122, 125  IEEE 802.11af/ah/ac protocols, 275
            Low energy critical infrastructure monitoring  integration instruments, 256
                 (LECIM) networks, 185–186     smart phone applications, 276
            Low-pass filter (LPF), 89–90     Machine type communication (MTC), 276
            Low Power and Lossy Network (LLN), 107  MAC protocol data units (MPDUs), 182–183
            Low power radio frequency (LPRF), 73  macSuperframeOrder (SO), 183
            Low power wide area networks (LPWAN), 254t  Man-in-the-middle attack (MITM), 281
              features of, 287–288           Manufacturing Message Specification (MMS)
              IEEE 802.15.4 standard, 286–287, 288f  protocols, 22
              technologies, 288, 289t        MapReduce, 312–313, 327–328
            Low-rate WPANs                   Master node. See Base node
              IEEE 802.15.4 standard, 178    Matched filter (MF) detection, 225–226, 226f,
                MAC layer, 182–185                228t
                node topologies, 178–179, 179f  Maximum power point tracking (MPPT)
                PHY layer, 179–182                algorithms, 25–26
              ISA100.11a, 188                Medium access control (MAC) layer, 75–76,
              low energy critical infrastructure monitoring  78, 87–88
                 (LECIM), 185–186              IEEE 1901.2 standard, 153
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