RFID Sensors (1 of2 RFID: radio-frequency identification One of the earliest/disruptive sensor technologies Part of a family of automatic identification technologies Including ubiquitous barcodes and magnetic strips The goal is to use radio-frequency waves to accurately and quickly identify objects Use of RFid is led/promoted by large retailers Wal-Mart, Target, Dillard's Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved RFID Sensors (1 of 2) • RFID: radio-frequency identification • One of the earliest/disruptive sensor technologies • Part of a family of automatic identification technologies – Including ubiquitous barcodes and magnetic strips • The goal is to use radio-frequency waves to accurately and quickly identify objects • Use of RFID is led/promoted by large retailers – Wal-Mart, Target, Dillard's
RFID Sensors(2 of 2 How does rfid work? Tag-a circuit attached to the product to be identified Interrogator(i.e, reader)-with antennas and a computer to detect objects store the data, and take due actions Tags can be passive or active Passive tag-small, inexpensive, no power source Active tag -larger, more expensive, has power source Which one is better Retail uses passive tags others may use active tags RFID+ sensors can be used for perishable goods Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved RFID Sensors (2 of 2) • How does RFID work? – Tag – a circuit attached to the product to be identified – Interrogator (i.e., reader) – with antennas and a computer to detect objects, store the data, and take due actions • Tags can be passive or active – Passive tag – small, inexpensive, no power source – Active tag – larger, more expensive, has power source • Which one is better? – Retail uses passive tags, others may use active tags • RFID + Sensors can be used for perishable goods
Data Representation in RFID Data representation for a given application domain For Retail: Electronic Product Code(EPC) RFiD tags contain 96 bits of data 001100000111010000000001011100111110000101001101 Binary: 110011010100000000011101110011010110010100011000 Manufacturer Product Serial Number Decimal 0o23800.341813.500000024 Check Digit ( not ISGTINI needed for rfid) UCC-14 002380041813 [UPC for cases) Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Data Representation in RFID • Data representation for a given application domain • For Retail: Electronic Product Code (EPC) • RFID tags contain 96 bits of data
Fog Computing Data produced by lot is huge in size(problem) Fog computing is to address the issue by Proposing fog nodes to process the data close to loT Fog nodes- any device including routers or switches Table 8.1 Difference between Fog Nodes and a cloud Platform Fog Nodes Cloud platform Receive data from lot devices Receives and aggregates data from fog nodes Run lo T real-time analytics in millisecond Analysis is performed on huge amounts o response time business data and can take hours or weeks Data Center/Cloud-Fog Device - Physical Device(i.e, sensors that generate the data) Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Fog Computing • Data produced by IoT is huge in size (problem) • Fog computing is to address the issue by – Proposing fog nodes to process the data close to IoT – Fog nodes – any device including routers or switches Table 8.1 Difference between Fog Nodes and a Cloud Platform Fog Nodes Cloud Platform Receive data from IoT devices Receives and aggregates data from fog nodes Run IoT real-time analytics in millisecond response time Analysis is performed on huge amounts of business data and can take hours or weeks – Data Center/Cloud → Fog Device → Physical Device (i.e., sensors that generate the data)
Other lot considerations loT Platforms many large companies are in it Amazon aWslot. microsoft azure lot suite, Predix lot Platform by General Electric(GE), IBM Watson lOT solutions and teradata Unified data architecture loT Start-up Ecosystem Many start-up companies are emerging in the field of loT Examples include Sigfox, 3D Robotics, Canary, Athos Greenwave, Jawbone, FreedomPop, Razer, and ring Fitbit -one of the most successful loT startups See Figure 8.3 for a pictorial representation of lo t ecosystem Pearson Copyright C 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved
Copyright © 2018, 2014, 2011 Pearson Education, Inc. All Rights Reserved Other IoT Considerations • IoT Platforms – many large companies are in it – Amazon AWS IoT, Microsoft Azure IoT Suite, Predix IoT, Platform by General Electric (GE), IBM Watson IoT solutions, and Teradata Unified Data Architecture • IoT Start-up Ecosystem – Many start-up companies are emerging in the field of IoT – Examples include Sigfox, 3D Robotics, Canary, Athos, Greenwave, Jawbone, FreedomPop, Razer, and Ring – Fitbit – one of the most successful IoT startups • See Figure 8.3 for a pictorial representation of IoT Ecosystem