{"product_id":"resource-management-for-on-demand-mission-critical-internet-of-things-applications-isbn-9781119716099","title":"Resource Management for On-Demand Mission-Critical Internet of Things Applications","description":"\u003cb\u003eRESOURCE MANAGEMENT FOR ON-DEMAND MISSION-CRITICAL INTERNET OF THINGS APPLICATIONS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDiscover an insightful and up-to-date treatment of resource management in Internet of Things technology\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eResource Management for On-Demand Mission-Critical Internet of Things ­Applications\u003c\/i\u003e, an expert team of engineers delivers an insightful analytical perspective on modeling and decision support for mission-critical Internet of Things applications. The authors dissect the complex IoT ecosystem and provide a cross-layer perspective on the design and operation of IoT, especially in the context of smart and connected communities. \u003c\/p\u003e\u003cp\u003e The book offers an economic perspective on resource management in IoT systems with a particular emphasis on three main areas: spectrum management via reservation, allocation of cloud\/fog resources to IoT applications, and resource provisioning to smart city service requests. It leverages theories from dynamic mechanism design, optimal control theory, and spatial point processes, providing an overview of integrated decision-making frameworks.  \u003c\/p\u003e\u003cp\u003eFinally, the authors discuss future directions and relevant problems on the economics of resource management from new perspectives, like security and resilience. Readers will also enjoy the inclusion of:  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA thorough introduction and overview of IoT applications in smart cities, mission critical IoT services and requirements, and key metrics and research challenges\u003c\/li\u003e \u003cli\u003eA comprehensive exploration of the allocation of spectrum resources to mission critical IoT applications, including the massive surge of IoT and spectrum scarcity problem\u003c\/li\u003e \u003cli\u003ePractical discussions of the provisioning of cloud\/fog computing resources to IoT applications, including allocation policy\u003c\/li\u003e \u003cli\u003eIn-depth examinations of resource provisioning to spatio-temporal service requests in smart cities\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e Perfect for engineers working on Internet of Things and cyber-physical systems, \u003ci\u003eResource Management for On-Demand Mission-Critical Internet of Things Applications\u003c\/i\u003e is also an indispensable reference for graduate students, researchers, and professors with an interest in IoT resource management. \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePreface \u003c\/b\u003e\u003ci\u003exiii\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAcknowledgments \u003c\/b\u003e\u003ci\u003exvii\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAcronyms \u003c\/b\u003e\u003ci\u003exix\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Introduction \u003c\/b\u003e\u003ci\u003e1\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Internet of Things-Enabled Systems and Infrastructure \u003c\/b\u003e\u003ci\u003e3\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Cyber–Physical Realm of IoT \u003ci\u003e3\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.2 IoT in Mission-Critical Applications \u003ci\u003e4\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3 Overview of the Book \u003ci\u003e4\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.1 Main Topics \u003ci\u003e5\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.1.1 Dynamic Reservation ofWireless Spectrum Resources \u003ci\u003e5\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.1.2 Dynamic Cross-Layer Connectivity Using Aerial Networks \u003ci\u003e5\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.1.3 Dynamic Processes Over Multiplex Spatial Networks and\u003c\/p\u003e \u003cp\u003eReconfigurable Design \u003ci\u003e6\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.1.4 Sequential Resource Allocation Under Spatio-Temporal\u003c\/p\u003e \u003cp\u003eUncertainties \u003ci\u003e7\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.3.2 Notations \u003ci\u003e8\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Resource Management in IoT-Enabled Interdependent\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eInfrastructure \u003c\/b\u003e\u003ci\u003e9\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 System Complexity and Scale \u003ci\u003e9\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.2 Network Geometry and Dynamics \u003ci\u003e10\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.3 On-Demand MC-IoT Services and Decision Avenues \u003ci\u003e11\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.4 Performance Metrics \u003ci\u003e12\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.5 Overview of Scientific Methodologies \u003ci\u003e12\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eTrim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06\/02\/2021 12:07pm Page viii\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e_ _\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e\u003cb\u003eviii \u003c\/b\u003e\u003ci\u003eContents\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Design Challenges in MC-IoT \u003c\/b\u003e\u003ci\u003e15\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Wireless Connectivity Challenges \u003c\/b\u003e\u003ci\u003e17\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Spectrum Scarcity and Reservation Based Access \u003ci\u003e17\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.2 Connectivity in Remote Environments \u003ci\u003e19\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.3 IoT Networks in Adversarial Environments \u003ci\u003e22\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Resource and Service Provisioning Challenges \u003c\/b\u003e\u003ci\u003e25\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Efficient Allocation of Cloud Computing Resources \u003ci\u003e25\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.2 Dynamic Pricing in the Cloud \u003ci\u003e27\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.3 Spatio-Temporal Urban Service Provisioning \u003ci\u003e31\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Wireless Connectivity Mechanisms for MC-IoT \u003c\/b\u003e\u003ci\u003e35\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Reservation-Based Spectrum Access Contracts \u003c\/b\u003e\u003ci\u003e37\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Reservation of Time–Frequency Blocks in the Spectrum \u003ci\u003e37\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1.1 Network Model \u003ci\u003e38\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1.2 Utility of Spectrum Reservation \u003ci\u003e39\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2 Dynamic Contract Formulation \u003ci\u003e39\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.1 Objective of Network Operator \u003ci\u003e40\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.2 Spectrum Reservation Contract \u003ci\u003e40\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.2.1 Operator Profitability \u003ci\u003e40\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.2.2 IC and IR Constraints \u003ci\u003e41\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.3 Optimal Contracting Problem \u003ci\u003e41\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.2.4 Solution to the Optimization Problem \u003ci\u003e42\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.3 Mission-Oriented Pricing and Refund Policies \u003ci\u003e44\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.4 Summary and Conclusion \u003ci\u003e47\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Resilient Connectivity of IoT Using Aerial Networks \u003c\/b\u003e\u003ci\u003e49\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Connectivity in the Absence of Backhaul Networks \u003ci\u003e49\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.2 Aerial Base Station Modeling \u003ci\u003e50\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3 Dynamic Coverage and ConnectivityMechanism \u003ci\u003e52\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.1 MAP–MSD Matching \u003ci\u003e53\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.2 MAP Dynamics and Objective \u003ci\u003e54\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.3 Controller Design \u003ci\u003e55\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.3.1 Attractive and Repulsive Function \u003ci\u003e55\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.3.2 Velocity Consensus Function \u003ci\u003e56\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.4 Individual Goal Function \u003ci\u003e56\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.3.5 Cluster Centers \u003ci\u003e57\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.4 Performance Evaluation and Simulation Results \u003ci\u003e58\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.4.1 Results and Discussion \u003ci\u003e59\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.4.1.1 Simulation Parameters \u003ci\u003e59\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eTrim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06\/02\/2021 12:07pm Page ix\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e_ _\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e\u003ci\u003eContents \u003c\/i\u003e\u003cb\u003eix\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.4.1.2 Resilience \u003ci\u003e61\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.4.1.3 Comparison \u003ci\u003e64\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.5 Summary and Conclusion \u003ci\u003e68\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Secure Network DesignMechanisms \u003c\/b\u003e\u003ci\u003e69\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Wireless IoT Network Design in Adversarial\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eEnvironments \u003c\/b\u003e\u003ci\u003e71\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Adversarial Network Scenarios \u003ci\u003e71\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.2 Modeling Device Capabilities and Network Heterogeneity \u003ci\u003e71\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.2.1 Network Geometry \u003ci\u003e72\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.2.2 Network Connectivity \u003ci\u003e73\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.2.2.1 Intra-layer Connectivity \u003ci\u003e73\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.2.2.2 Network-wide Connectivity \u003ci\u003e74\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.3 Information Dissemination Under Attacks \u003ci\u003e76\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.3.1 Information Dynamics \u003ci\u003e77\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.3.1.1 Single Message Propagation \u003ci\u003e78\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.3.1.2 MultipleMessage Propagation \u003ci\u003e79\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.3.2 Steady State Analysis \u003ci\u003e80\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.4 Mission-Specific Network Optimization \u003ci\u003e81\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.4.1 Equilibrium Solution \u003ci\u003e81\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.4.2 Secure and Reconfigurable Network Design \u003ci\u003e87\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.5 Simulation Results and Validation \u003ci\u003e91\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.5.1 Mission Scenarios \u003ci\u003e92\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.5.1.1 Intelligence \u003ci\u003e92\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.5.1.2 Encounter Battle \u003ci\u003e93\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.6 Summary and Conclusion \u003ci\u003e96\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Network DefenseMechanisms Against Malware\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eInfiltration \u003c\/b\u003e\u003ci\u003e97\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Malware Infiltration and Botnets \u003ci\u003e97\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1.1 Network Model \u003ci\u003e97\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1.2 Threat Model \u003ci\u003e99\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.2 PropagationModeling and Analysis \u003ci\u003e101\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.2.1 Modeling of Malware and Information Evolution \u003ci\u003e101\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.2.2 State Space Representation and Dynamics \u003ci\u003e102\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.2.3 Analysis of Equilibrium State \u003ci\u003e104\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.3 Patching Mechanism for Network Defense \u003ci\u003e109\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.3.1 Simulation Results \u003ci\u003e115\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.3.2 Simulation and Validation \u003ci\u003e120\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.4 Summary and Conclusion \u003ci\u003e124\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eTrim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06\/02\/2021 12:07pm Page x\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e_ _\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e\u003cb\u003ex \u003c\/b\u003e\u003ci\u003eContents\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Resource ProvisioningMechanisms \u003c\/b\u003e\u003ci\u003e125\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Revenue Maximizing Cloud Resource Allocation \u003c\/b\u003e\u003ci\u003e127\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Cloud Service Provider Resource Allocation Problem \u003ci\u003e127\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.2 Allocation and Pricing Rule \u003ci\u003e128\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.3 Dynamic Revenue Maximization \u003ci\u003e129\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.3.1 Adaptive and Resilient Allocation and Pricing Policy \u003ci\u003e134\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.4 Numerical Results and Discussions \u003ci\u003e135\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.5 Summary and Conclusion \u003ci\u003e139\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Dynamic Pricing of Fog-Enabled MC-IoT Applications \u003c\/b\u003e\u003ci\u003e141\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Edge Computing and Delay Modeling \u003ci\u003e142\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.2 Allocation Efficiency and Quality of Experience \u003ci\u003e143\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.2.1 Allocation Policy \u003ci\u003e144\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.2.2 Pricing Policy \u003ci\u003e145\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.3 Optimal Allocation and Pricing Rules \u003ci\u003e146\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.3.1 Single VMI Case \u003ci\u003e146\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.3.2 Multiple VMI Case \u003ci\u003e149\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.3.3 Expected Revenue \u003ci\u003e155\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.3.4 Implementation of Dynamic VMI Allocation and\u003c\/p\u003e \u003cp\u003ePricing \u003ci\u003e156\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.4 Numerical Experiments and Discussion \u003ci\u003e158\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.4.1 Experiment Setup \u003ci\u003e158\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.4.2 Simulation Results \u003ci\u003e158\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.4.3 Comparison with Other Approaches \u003ci\u003e160\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.5 Summary and Conclusion \u003ci\u003e164\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Resource Provisioning to Spatio-Temporal Urban\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eServices \u003c\/b\u003e\u003ci\u003e165\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Spatio-TemporalModeling of Urban Service Requests \u003ci\u003e165\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1.1 Characterization of Service Requests \u003ci\u003e166\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1.2 Utility of Resource Allocation \u003ci\u003e167\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1.3 Problem Definition \u003ci\u003e169\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.2 Optimal Dynamic Allocation Mechanism \u003ci\u003e169\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.2.1 Dynamic Programming Solution \u003ci\u003e170\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.2.2 Computation and Implementation \u003ci\u003e172\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.3 Numerical Results and Discussion \u003ci\u003e174\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.3.1 Special Cases \u003ci\u003e174\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.3.1.1 Power Law Utility \u003ci\u003e174\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.3.1.2 Exponential Utility \u003ci\u003e176\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.3.2 Performance Evaluation and Comparison \u003ci\u003e178\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.4 Summary and Conclusions \u003ci\u003e180\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eTrim Size: 6in x 9in Single Column Farooq716099 ftoc.tex V1 - 06\/02\/2021 12:07pm Page xi\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e_ _\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e\u003ci\u003eContents \u003c\/i\u003e\u003cb\u003exi\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VI Conclusion \u003c\/b\u003e\u003ci\u003e183\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Challenges and Opportunities in the IoT Space \u003c\/b\u003e\u003ci\u003e185\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Broader Insights and Future Directions \u003ci\u003e185\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1.1 Distributed Cross-Layer Intelligence for Mission-Critical IoT\u003c\/p\u003e \u003cp\u003eServices \u003ci\u003e185\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1.1.1 Secure and Resilient Networking for Massive IoT Networks \u003ci\u003e185\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1.1.2 Autonomic Networked CPS: From Military to Civilian\u003c\/p\u003e \u003cp\u003eApplications \u003ci\u003e186\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1.1.3 Strategic Resource Provisioning for Mission-Critical IoT\u003c\/p\u003e \u003cp\u003eServices \u003ci\u003e187\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2 Future Research Directions \u003ci\u003e187\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2.1 Distributed Learning and Data Fusion for Security and Resilience in\u003c\/p\u003e \u003cp\u003eIoT-Driven Urban Applications \u003ci\u003e188\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2.1.1 Data-Driven Learning and Decision-Making for Smart City Service\u003c\/p\u003e \u003cp\u003eProvisioning \u003ci\u003e188\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2.1.2 Market Design for On-Demand and Managed IoT-Enabled Urban\u003c\/p\u003e \u003cp\u003eServices \u003ci\u003e189\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2.1.3 Proactive Resiliency Planning and Learning for Disaster\u003c\/p\u003e \u003cp\u003eManagement in Cities \u003ci\u003e190\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.2.2 Supply Chain Security and Resilience of IoT \u003ci\u003e190\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.3 Concluding Remarks \u003ci\u003e191\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBibliography \u003c\/b\u003e\u003ci\u003e193\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex \u003c\/b\u003e\u003ci\u003e207\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e_\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJunaid Farooq\u003c\/b\u003e is an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn. His research focus is on system level modeling, analysis, and the optimization of wireless communication networks.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eQuanyan Zhu, PhD,\u003c\/b\u003e is Associate Professor with the Department of Electrical and Computer Engineering at New York University.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDiscover an insightful and up-to-date treatment of resource management in Internet of Things technology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn \u003ci\u003eResource Management for On-Demand Mission-Critical Internet of Things ­Applications\u003c\/i\u003e, an expert team of engineers delivers an insightful analytical perspective on modeling and decision support for mission-critical Internet of Things applications. The authors dissect the complex IoT ecosystem and provide a cross-layer perspective on the design and operation of IoT, especially in the context of smart and connected communities. \u003c\/p\u003e\u003cp\u003e The book offers an economic perspective on resource management in IoT systems with a particular emphasis on three main areas: spectrum management via reservation, allocation of cloud\/fog resources to IoT applications, and resource provisioning to smart city service requests. It leverages theories from dynamic mechanism design, optimal control theory, and spatial point processes, providing an overview of integrated decision-making frameworks.  \u003c\/p\u003e\u003cp\u003eFinally, the authors discuss future directions and relevant problems on the economics of resource management from new perspectives, like security and resilience. Readers will also enjoy the inclusion of:  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA thorough introduction and overview of IoT applications in smart cities, mission critical IoT services and requirements, and key metrics and research challenges\u003c\/li\u003e \u003cli\u003eA comprehensive exploration of the allocation of spectrum resources to mission critical IoT applications, including the massive surge of IoT and spectrum scarcity problem\u003c\/li\u003e \u003cli\u003ePractical discussions of the provisioning of cloud\/fog computing resources to IoT applications, including allocation policy\u003c\/li\u003e \u003cli\u003eIn-depth examinations of resource provisioning to spatio-temporal service requests in smart cities\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e Perfect for engineers working on Internet of Things and cyber-physical systems, \u003ci\u003eResource Management for On-Demand Mission-Critical Internet of Things Applications\u003c\/i\u003e is also an indispensable reference for graduate students, researchers, and professors with an interest in IoT resource management.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989950546149,"sku":"NP9781119716099","price":145.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119716099.jpg?v=1761786010","url":"https:\/\/k12savings.com\/products\/resource-management-for-on-demand-mission-critical-internet-of-things-applications-isbn-9781119716099","provider":"K12savings","version":"1.0","type":"link"}