Download or read book A Communications Modeling System for Swarm Based Sensors written by Brian A. Kadrovach and published by . This book was released on 2003-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's information age has exploded the amount of data available to decision makers at all levels of the control hierarchy. The miniaturization and proliferation of sensor technology has enabled extensive detection and monitoring and advances in computational capabilities have provided for embedded data analysis and the generation of information from raw data. Additionally, with the miniaturization of mechanical systems it is possible to provide platforms for sensor suites that are capable of mobility and limited autonomy. Swarming or bio-emergent behavior problems,provides a robust scalable mechanism for organizing large numbers of mobile sensor platforms. However, the mobility dynamics of swarm systems present additional challenges. This research develops a novel ad hoc data network communications modeling methodology for swarm-based sensor systems that provides a process for evaluating performance of communications protocols with respect to swarm dynamics parameter-based swarm simulation system based on innovative vision models is developed and used to investigate and characterize swarm behavior. The process allows for communications protocol evaluations in the context of dynamic swarm behaviors. Three network communications protocols are presented for swarm-based sensor networks and a performance comparison is made. The three protocols-Directed Diffusion, Geographical Routing Protocol, and Flooding Protocol are compared. Results indicate, for the degree of mobility investigated, that the Directed Diffusion protocol slightly outperforms the Geographical Routing Protocol system. The swarm network modeling process developed provides a new methodology for rigorous and repeatable investigation of network communications systems with respect to the complex dynamics of swarm-based sensor networks.
Download or read book UAV Swarm Networks Models Protocols and Systems written by Fei Hu and published by CRC Press. This book was released on 2020-12-28 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: UAV swarm network has been used in many critical applications, such as disaster recovery, area surveillance, weather monitoring, and military communications. There are many challenging R&D issues in UAV network designs, such as the hardware/software integration for a large-scale UAV network management, long-distance data transmissions among UAVs, swarm shape/formation control, and intelligent UAV mobility/position prediction. This book will be the first one to cover the engineering designs (especially network protocol designs) for dynamic, large-scale UAV network. It has the technical models/algorithms and protocol specifications for practical UAV swarm network deployment. Features: Includes chapters written by professors, researchers, engineers, and experts in UAV networking fields Details network protocol descriptions for practical engineering designs Covers 7-layer protocols (particularly data routing layer) Presents novel AI models/algorithms for intelligent UAV swarming/networking control Highlights practical hardware/software implementations for advanced UAV networks This book is suitable to a variety of audiences: (1) industry UAV R&D engineers, administrators, or technicians, who would like to grasp the latest trends in UAV communications; (2) college graduate students or researchers, who may want to pursue some advanced research on large-scale UAV swarming and networking technologies; (3) government agencies that determine the future society development in this exciting field; and (4) other interested readers with a strong desire to understand the challenges of designing a QoS-oriented UAV network. The book editors are: Dr. Fei Hu, Professor in Electrical and Computer Engineering at University of Alabama, Tuscaloosa, Alabama, USA; Dr. Xin-Lin Huang, Professor in Information and Communication Engineering, Tongji University, Shanghai, China; and Dr. DongXiu Ou, Professor in Transportation Information Institute at Tongji University, Shanghai, China.
Download or read book Over 40 Publications Studies Combined UAS UAV Drone Swarm Technology Research written by and published by Jeffrey Frank Jones. This book was released on with total page 3840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 3,800 total pages ... Just a sample of the studies / publications included: Drone Swarms Terrorist and Insurgent Unmanned Aerial Vehicles: Use, Potentials, and Military Implications Countering A2/AD with Swarming Stunning Swarms: An Airpower Alternative to Collateral Damage Ideal Directed-Energy System To Defeat Small Unmanned Aircraft System Swarms Break the Kill Chain, not the Budget: How to Avoid U.S. Strategic Retrenchment Gyges Effect: An Ethical Critique of Lethal Remotely Piloted Aircraft Human Robotic Swarm Interaction Using an Artificial Physics Approach Swarming UAS II Swarming Unmanned Aircraft Systems Communication Free Robot Swarming UAV Swarm Attack: Protection System Alternatives for Destroyers Confidential and Authenticated Communications in a Large Fixed-Wing UAV Swarm UAV Swarm Behavior Modeling for Early Exposure of Failure Modes Optimized Landing of Autonomous Unmanned Aerial Vehicle Swarms Mini, Micro, and Swarming Unmanned Aerial Vehicles: A Baseline Study UAV Swarm Operational Risk Assessment System SmartSwarms: Distributed UAVs that Think Command and Control Autonomous UxV's UAV Swarm Tactics: An Agent-Based Simulation and Markov Process Analysis A Novel Communications Protocol Using Geographic Routing for Swarming UAVs Performing a Search Mission Accelerating the Kill Chain via Future Unmanned Aircraft Evolution of Control Programs for a Swarm of Autonomous Unmanned Aerial Vehicles AFIT UAV Swarm Mission Planning and Simulation System A Genetic Algorithm for UAV Routing Integrated with a Parallel Swarm Simulation Applying Cooperative Localization to Swarm UAVS Using an Extended Kalman Filter A Secure Group Communication Architecture for a Swarm of Autonomous Unmanned Aerial Vehicles Braving the Swarm: Lowering Anticipated Group Bias in Integrated Fire/Police Units Facing Paramilitary Terrorism Distributed Beamforming in a Swarm UAV Network Integrating UAS Flocking Operations with Formation Drag Reduction Tracking with a Cooperatively Controlled Swarm of GMTI Equipped UAVS Using Agent-Based Modeling to Evaluate UAS Behaviors in a Target-Rich Environment Experimental Analysis of Integration of Tactical Unmanned Aerial Vehicles and Naval Special Warfare Operations Forces Target Acquisition Involving Multiple Unmanned Air Vehicles: Interfaces for Small Unmanned Air Systems (ISUS) Program Tools for the Conceptual Design and Engineering Analysis of Micro Air Vehicles Architectural Considerations for Single Operator Management of Multiple Unmanned Aerial Vehicles
Download or read book Space Time Continuous Models of Swarm Robotic Systems written by Heiko Hamann and published by Springer Science & Business Media. This book was released on 2010-05-18 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, a generic model in as far as possible mathematical closed-formis developed that predicts the behavior of large self-organizing robot groups (robot swarms) based on their control algorithm. In addition, an extensive subsumption of the relatively young and distinctive interdisciplinary research field of swarm robotics is emphasized. The connection to many related fields is highlighted and the concepts and methods borrowed from these fields are described shortly.
Download or read book Handbook of Research on Design Control and Modeling of Swarm Robotics written by Tan, Ying and published by IGI Global. This book was released on 2015-12-09 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies on robotics applications have grown substantially in recent years, with swarm robotics being a relatively new area of research. Inspired by studies in swarm intelligence and robotics, swarm robotics facilitates interactions between robots as well as their interactions with the environment. The Handbook of Research on Design, Control, and Modeling of Swarm Robotics is a collection of the most important research achievements in swarm robotics thus far, covering the growing areas of design, control, and modeling of swarm robotics. This handbook serves as an essential resource for researchers, engineers, graduates, and senior undergraduates with interests in swarm robotics and its applications.
Download or read book Swarm Interpolation with Mobile Sensors written by Joshua Kirby and published by . This book was released on 2017 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors can be used in a variety of monitoring applications, such as measuring the state of large-scale, spatially complex phenomena like fires or oil spills. In applications like these, the primary goal is to collect information about the region of interest simultaneously across the region, assuming a sufficient number of sensors are available. However, it can be difficult and even dangerous to have humans manually place sensors and collect readings. Groups of autonomous mobile sensors under the control of an appropriate algorithm can address this issue by being able to move into position and gather data without human intervention. ☐ In order to gain an accurate view of a region as a whole, it is important that the sensors be distributed to provide effective coverage. For fixed regions of known shape, the ideal positions for sensors can be computed in advance, with sensors simply moving to assign positions. However, if the shape of the region is not known in advance, or if the region changes its shape over time, then ideal positions will not be initially available, and must be identified by the autonomous sensors after they have already been placed and are in motion. ☐ One means by which this can be accomplished is through a technique called swarming, in which individual elements coordinate their own behaviors based on local information in order to achieve a cohesive behavior for the entire group. If an appropriate swarming algorithm is used, mobile sensors can be made to seek out and settle in positions that are ideal for gathering data that will be useful for approximating the region as a whole. ☐ In this dissertation, I first present an algorithm designed to achieve uniform mobile sensor coverage of an unknown region of interest using only local information. The algorithm is capable of scaling to different region sizes and shapes, dynamically adapting the behavior of the sensor nodes based on locally observed conditions. The algorithm divides nodes into two groups, boundary and interior, selected based on their positions within the swarm. Boundary nodes seek out the edge of the region of interest and distribute themselves evenly along it, while interior nodes use repulsive interactions to uniformly distribute themselves within the region. Uniformity between the boundary and interior is achieved through exchanging nodes between the two groups. Through simulation, I demonstrate the ability of the algorithm to adapt to a variety of regions, and analyze the effect that a number of control parameters have on the behavior of the swarm. ☐ While a uniform distribution is sufficient to achieve complete coverage of a region, it may not be the optimal distribution for gathering data for interpolation. As an expansion of my work on generating uniform distributions, I present a system to generate non-uniform distributions using the concept of virtual coordinates, and show how changing the apparent positions of nodes can coerce a swarm to behave in a different manner without altering the underlying algorithm controlling them. I develop a technique to allow nodes to determine their relative location within a swarm based only on local communications by counting the number of local communication hops to the edge of the swarm, and to use that information to remap their radial distances from the center of the swarm. I present a remapping that will convert a 2D radial Chebyshev distribution into a uniform distribution in virtual coordinates. I adapt the uniform swarming algorithm to use this system of virtual coordinates, and demonstrate that the modified algorithm generates 2D Chebyshev distributions in real space. I simulate the exploration and measurement of regions of interest of a variety of shapes, and analyze the ability of both the uniform and Chebyshev algorithms to generate accurate maps of those regions through radial basis interpolation.
Download or read book Critical Developments and Applications of Swarm Intelligence written by Yuhui Shi and published by IGI Global, Engineering Science Reference. This book was released on 2018 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"--
Download or read book Stochastic Reactive Distributed Robotic Systems written by Gregory Mermoud and published by Springer. This book was released on 2013-10-01 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities.
Download or read book Intelligent Control Systems with an Introduction to System of Systems Engineering written by Thrishantha Nanayakkara and published by CRC Press. This book was released on 2018-09-03 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: From aeronautics and manufacturing to healthcare and disaster management, systems engineering (SE) now focuses on designing applications that ensure performance optimization, robustness, and reliability while combining an emerging group of heterogeneous systems to realize a common goal. Use SoS to Revolutionize Management of Large Organizations, Factories, and Systems Intelligent Control Systems with an Introduction to System of Systems Engineering integrates the fundamentals of artificial intelligence and systems control in a framework applicable to both simple dynamic systems and large-scale system of systems (SoS). For decades, NASA has used SoS methods, and major manufacturers—including Boeing, Lockheed-Martin, Northrop-Grumman, Raytheon, BAE Systems—now make large-scale systems integration and SoS a key part of their business strategies, dedicating entire business units to this remarkably efficient approach. Simulate Novel Robotic Systems and Applications Transcending theory, this book offers a complete and practical review of SoS and some of its fascinating applications, including: Manipulation of robots through neural-based network control Use of robotic swarms, based on ant colonies, to detect mines Other novel systems in which intelligent robots, trained animals, and humans cooperate to achieve humanitarian objectives Training engineers to integrate traditional systems control theory with soft computing techniques further nourishes emerging SoS technology. With this in mind, the authors address the fundamental precepts at the core of SoS, which uses human heuristics to model complex systems, providing a scientific rationale for integrating independent, complex systems into a single coordinated, stabilized, and optimized one. They provide readers with MATLAB® code, which can be downloaded from the publisher's website to simulate presented results and projects that offer practical, hands-on experience using concepts discussed throughout the book.
Download or read book Sensor Technology Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-02-07 with total page 1618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting and processing data is a necessary aspect of living in a technologically advanced society. Whether it’s monitoring events, controlling different variables, or using decision-making applications, it is important to have a system that is both inexpensive and capable of coping with high amounts of data. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future. Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications. It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.
Download or read book Agricultural Biotechnology written by Charles Oluwaseun Adetunji and published by CRC Press. This book was released on 2022-12-21 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents strategies and techniques highlighting the sustainability and application of microbial and agricultural biotechnologies to ensure food production and security. This book includes different aspects of applications of Artificial Intelligence in agricultural systems, genetic engineering, human health and climate change, recombinant DNA technology, metabolic engineering and so forth. Post-harvest extension of food commodities, environmental detoxification, proteomics, metabolomics, genomics, bioinformatics and metagenomic analysis are discussed as well. Features: Reviews technological advances in microbial biotechnology for sustainable agriculture using Artificial Intelligence and molecular biology approach. Provides information on the fusion between microbial biotechnology and agriculture. Specifies the influence of climate changes on livestock, agriculture and environment. Discusses sustainable agriculture for food security and poverty alleviation. Explores current biotechnology advances in food and agriculture sectors for sustainable crop production. This book is aimed at researchers and graduate students in agriculture, food engineering, metabolic engineering and bioengineering.
Download or read book Wireless Sensor And Robot Networks From Topology Control To Communication Aspects written by Nathalie Mitton and published by World Scientific. This book was released on 2013-12-19 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks have gained much attention these last years thanks to the great set of applications that accelerated the technological advances. Such networks have been widely investigated and many books and articles have been published about the new challenges they pose and how to address them. One of these challenges is node mobility: sensors could be moved unexpectedly if deployed in an uncontrolled environment or hold by moving object/animals.Beyond all this, a new dimension arises when this mobility is controlled, i.e. if these sensors are embedded in robots. These robots cohabit with sensors and cooperate together to perform a given task collectively by presenting hardware constraints: they still rely on batteries; they communicate through short radio links and have limited capacities.In this book, we propose to review new challenges brought about by controlled mobility for different goals and how they are addressed in the literature in wireless sensor and Robot networks, ranging from deployment to communications.
Download or read book Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level Classification from EEG Signals written by Harikumar Rajaguru and published by Anchor Academic Publishing. This book was released on 2017-03 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: This project presents the performance analysis of Particle swarm optimization (PSO), hybrid PSO and Bayesian classifier to calculate the epileptic risk level from electroencephalogram (EEG) inputs. PSO is an optimization technique which is initialized with a population of random solutions and searches for optima by updating generations. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating generations. Hybrid PSO differs from ordinary PSO by calculating inertia weight to avoid the local minima problem. Bayesian classifier works on the principle of Bayes’ rule in which it is the probability based theorem. The results of PSO, hybrid PSO and Bayesian classifier are calculated and their performance is analyzed using performance index, quality value, cost function and classification rate in calculating the epileptic risk level from EEG.
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 906 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development and Analysis of Biologically Inspired Communication Algorithms for Artificial Agents written by Douglas Andrew Kirkpatrick and published by . This book was released on 2015 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bio Inspired Models of Network Information and Computing Systems written by Emma Hart and published by Springer. This book was released on 2012-08-10 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-inspired paradigms into computer engineering and networking, and to enhance the fruitful interactions between these fields and biology. The papers of the conference were accepted in 2 categories: full papers and work-in progress. Full papers describe significant advances in the Bionetics field, while work-in-progress papers present an opportunity to discuss breaking research which is currently being evaluated. The topics are ranging from robotic coordination to attack detection in peer-to-peer networks, biological mechanisms including evolution, flocking and artificial immune systems, and nano-scale communication and networking.
Download or read book Behaviourism in Studying Swarms Logical Models of Sensing and Motoring written by Andrew Schumann and published by Springer. This book was released on 2018-05-25 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment: attractants (motivational reinforcement) and repellents (motivational punishment). At the same time, there are two main stages in reactions to stimuli: sensing (perceiving signals) and motoring (appropriate direct reactions to signals). This book examines the strict limits of behaviourism from the point of view of symbolic logic and algebraic mathematics: how far can animal behaviours be controlled by the topology of stimuli? On the one hand, we can try to design reversible logic gates in which the number of inputs is the same as the number of outputs. In this case, the behaviouristic stimuli are inputs in swarm computing and appropriate reactions at the motoring stage are its outputs. On the other hand, the problem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals).
