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Optimization of Routing Algorithm for Wsn Using Aco

. Lifetime depends on energy wastage which can be reduced by using proper routing algorithm. In this work a routing algorithm is designed which;

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Wireless Sensor Networks

evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN;

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Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks

The Wireless Sensor Network (WSN) composed of several nodes is used for different types of monitoring applications. The objective;

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Evolutionary Computation in Scheduling

role and impacts of ant colony optimization (ACO) in job shop scheduling problems, before presenting the application of the ACO algorithm;

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Ant Colony Optimization

Ant Colony Optimization (ACO) is the best example of how studies intended at understanding and modeling the behavior of ants and other;

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Cyber-Physical System Design with Sensor Networking Technologies

; data management in CPS with WSN; routing in WSN for CPS; resource management in CPS; mobile sensors in CPS; intelligent WSN in CPS; resilient;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;

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Efficient AODV Routing Protocol for Wireless Sensor Networks

This book aims to develop a methodology for WSN routing protocols to consider the energy level of sensor nodes through the establishment;

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Dynamic Parameter Adaptation for Meta Heuristic Optimization Algorithms Through

: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected;

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Ad-Hoc, Mobile, and Wireless Networks

organized in the following topical sections: IoT for emergency and disaster management; scheduling and synchronization in WSN; routing strategies;

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Particle Swarm Optimization

vehicle routing problems using enhanced particle swarm optimisation and others.;

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Nature-Inspired Computation in Engineering

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments

discusses how metaheuristics, and in particular the ant colony optimization algorithm (ACO), can help to find high-quality solutions with low;

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Global Optimization Using Interval Analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm;

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Securing WSN with Lightweight Resource-Efficient Schemes

Security in wireless sensor network (WSN) encompasses a great number of challenges; ranging from the nature of wireless communications;

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Wireless Sensor Networks

quality-of service (QoS)-based routing. Chapter VIII offers insights into WSN protocols. QoS is a must for networks, Chapter IX reveals QoS;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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Advances in Electronics, Communication and Computing

, communication and computing. The book includes different approaches and techniques for specific applications using particle swarm optimization, Otsu's;

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Building Wireless Sensor Networks

operating systems Details the routing and data aggregation algorithms Addresses WSN security and energy efficiency Includes sample programs for;

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Building Wireless Sensor Networks

architectures, protocols, and operating systems Details the routing and data aggregation algorithms Addresses WSN security and energy;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Multi-mode Active Vibration Control Using H Optimization MIMO Positive Position Feedback Based Genetic Algorithm

Multi-Mode Active Vibration Control Using H Optimization Mimo Positive Position Feedback Based Genetic Algorithm is een boek van Zhonghui;

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Information Processing And Routing In Wireless Sensor Networks

This book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless;

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Einde inhoud

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