Mobile Agent Based Anomaly Detection And Verification System For Smart Home Sensor Networks
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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks
This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.
Fuzzy Logic in Smart Sustainable Cities
This book focuses on fuzzy logic, a paradigm-shifting approach that challenges the binary simplicity of traditional logic systems. The concept of fuzzy logics is a powerful tool capable of handling imprecise information and accommodating the vagaries of real-world scenarios. This marks the beginning of a journey that explores how fuzzy logics can bridge gaps and fills voids in our current strategies for achieving sustainable development goals relating to sustainable cities. With regard to issues such as water scarcity, energy affordability, and urban sustainability, the traditional linear approaches often fall short in capturing their complex, dynamic, and uncertain nature. Fuzzy logics, with their ability to handle imprecise information and uncertainties, emerge as a promising tool for navigating the intricate web of variables that influence the attainment of these sustainable development goals. This book bridges the gap between conventional disciplines such as engineering, environmental science, and urban planning by incorporating fuzzy logic ideas into talks on sustainable cities and offers insights into resource allocation strategies that will successfully lead to the intended sustainability goals by using models based on fuzzy logic. It also examines how fuzzy logic adjusts to changing circumstances so that suggested fixes are still applicable in the long run.
Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications
This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion. It also presents numerous SIoT-related applications in fields such as agriculture, health care, education and security, allowing researchers and industry practitioners to gain a better understanding of the Social Internet of Things