Mobile Edge Computing [electronic resource] /

Introduction to Mobile Edge Computing -- Comparative Performance Analysis of Mobile, Edge, and Cloud Computing Platforms for Distributed Applications -- Geospatial Edge Computing: A Systematic Review and Future Directions -- Power Efficient 5G Mobile Edge Computing -- Sensor Mobile Edge Computing -- IoT integration with MEC -- Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions -- GPU-accelerated Edge Computing for Predictive Maintenance -- Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions -- Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review -- Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges and Future directions -- Service Continuity in 5G-Enabled Mobile Edge Cloud -- Security in Critical Communication for Mobile Edge Computing based IoE Applications -- Blockchain and MEC: Consensus Protocols and Scalability -- Evaluation of Collaborative Intrusion Detection System (CIDS) Architectures in Mobile Edge Computing (MEC) -- A Conceptual Framework for Smart Health Care Applications using Z-Wave and Home based WSN for MEC -- Mobile Edge Computing based Internet of Agricultural Things -- Deep learning in Computer Vision through Mobile Edge Computing for IoT -- Mobility Support in Multi-layered Mobile Edge Computing for Smart Cities -- Complex Event Processing in Sensor-Based Environments: Edge Computing Frameworks and Techniques -- Application Design and Service Provisioning for Multi-Access Edge Cloud (MEC) -- Simulating Fog Computing Applications using iFogSim Toolkit.

Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart health, smart traffic management, smart agriculture, and smart city. This book covers the fundamental concept of the MEC and its real-time applications. The book content is organized into three parts: Part A covers the architecture and working model of MEC, Part B focuses on the systems, platforms, services and issues of MEC, and Part C emphases on various applications of MEC. This book is targeted for graduate students, researchers, developers, and service providers interested in learning about the state-of-the-art in MEC technologies, innovative applications, and future research directions.