Suchergebnisse

Intro -- Preface -- Acknowledgments -- Contents -- Contributors -- IoT-Based Computational Modeling for Next Generation Agro-Ecosystems: Research Issues, Emerging Trends and Challenges -- 1 Introduction -- 2 Fundamental Concepts and Computational Models -- 2.1 Cloud-to-Thing Continuum: IoT, Edge, Fog, and Cloud Computing Technologies -- 2.2 Agro-Ecosystem and Ecological Networks -- 2.3 Connecting the Two Worlds: Under-Ground and Above-Ground -- 2.4 IoT Infrastructure and Deployment for Agro-Ecosystems -- 2.5 Life Cycle for IoT Device and Infrastructure Management -- 3 Modeling and Alert Systems for Agro-Ecosystems Based on Anomaly Detection -- 3.1 Symbiotic Modeling and the Digital Twin -- 3.2 Anomaly Detection Algorithms -- 4 Data Cycle for Agro-Ecosystems: From IoT Data Collection to Decision Making and End-to-End Management Systems -- 4.1 Data Collection and Acquisition -- 4.2 Real Time Data Pre-processing and Anomaly Detection -- 4.3 Real Time Anomaly Prediction in Data Streams -- 4.4 Data Structuring and Semantic Data Enrichment -- 4.5 Knowledge and Analytics Integration with Back-End Management and Business Intelligence Systems -- 5 Machine Learning: Killer Applications Are from Agriculture -- 6 Emerging Research Trends and Further Issues -- 6.1 Data Quality and Benchmarks for Agro-Ecosystems -- 6.2 Digital Agro-Ecosystems Adoption, Cooperation with Local Stakeholders and Policy-Makers -- 6.3 Ethics, Health & -- Safety Issues in Agro-Ecosystems -- 7 Conclusion -- References -- An IoT-Based Time Constrained Spectrum Trading in Wireless Communication for Tertiary Market -- 1 Introduction -- 2 Spectrum Trading in Tertiary Market -- 2.1 Evolution of Spectrum Allocation Market -- 2.2 Problem Statement and Scenario -- 2.3 Definitions and Terminology -- 2.4 Proposed Mechanisms: STOM-OSM and STOM-TSM -- 2.5 Analysis of the Algorithms.