Publisher's Synopsis
Sensor networks arise as one of the most promising technologies for the next decades. The recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS) ease the development and proliferation of this kind of networks in a wide range of real-world applications. MultiAgent systems (MAS) have been identified as one of the most suitable technologies to contribute to this domain due to their appropriateness for modeling autonomous self-aware sensors in a flexible way. Sensor networks have been identified as one of the most promising technologies for the future due to: the recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS); the set of advantages they offer in front of other monitoring technologies; and the wide range of real-world applications that have been already identified for this technology. As this new technology emerges and applies to real-world domains, it poses a variety of new challenges to researchers leading to some new active areas of interest concerning hardware and software. In DSNs, where sensor sampling, processing, data transmission, and possibly actuation is involved, the trade-off between these tasks plays an important role in power usage. Given a finite amount of energy, balancing these parameters depending on the application will be the focus of the design process of DSNs. Pervasive micro-sensing and -actuation may revolutionize the way we understand and manage complex physical systems. The capabilities for detailed physical monitoring and manipulation offer enormous opportunities for almost every scientific discipline. Networks of such devices, so-called distributed sensor networks (DSNs), provide an embedded processing platform with exciting capabilities. Applications include surveillance in inhospitable environments such as remote geographic regions or toxic locations, sensing and maintenance in large industrial plants, planetary exploration, seismic activity detection, medical sensing, micro-surgery, military surveillance and combat, fingertip accelerometer virtual keyboards, and smart office spaces. In practically all such applications, key requirements include scalability, robustness with respect to various disturbances and uncertainties, evolvability through autonomous reconfiguration and optimal redistribution of resources. Distributed Sensor Networks: A Multiagent Perspective is a compilation of research articles from leading, international researchers describing a variety of approaches to this problem based on examples of implemented systems taken from a common distributed sensor network application. The book focuses on applied research and applications of sensor networks. The goal of this book is to provide important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems. Sensor networks arise as one of the most promising technologies for the next decades. The recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS) ease the development and proliferation of this kind of networks in a wide range of real-world applications. MultiAgent systems (MAS) have been identified as one of the most suitable technologies to contribute to this domain due to their appropriateness for modeling autonomous self-aware sensors in a flexible way. Sensor networks have been identified as one of the most promising technologies for the future due to: the recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS); the set of advantages they offer in front of other monitoring technologies; and the wide range of real-world applications that have been already identified for this technology. As this new technology emerges and applies to real-world domains, it poses a variety of new challenges to researchers leading to some new active areas of interest concerning hardware and software. In DSNs, where sensor sampling, processing, data transmission, and possibly actuation is involved, the trade-off between these tasks plays an important role in power usage. Given a finite amount of energy, balancing these parameters depending on the application will be the focus of the design process of DSNs. Pervasive micro-sensing and -actuation may revolutionize the way we understand and manage complex physical systems. The capabilities for detailed physical monitoring and manipulation offer enormous opportunities for almost every scientific discipline. Networks of such devices, so-called distributed sensor networks (DSNs), provide an embedded processing platform with exciting capabilities. Applications include surveillance in inhospitable environments such as remote geographic regions or toxic locations, sensing and maintenance in large industrial plants, planetary exploration, seismic activity detection, medical sensing, micro-surgery, military surveillance and combat, fingertip accelerometer virtual keyboards, and smart office spaces. In practically all such applications, key requirements include scalability, robustness with respect to various disturbances and uncertainties, evolvability through autonomous reconfiguration and optimal redistribution of resources. Distributed Sensor Networks: A Multiagent Perspective is a compilation of research articles from leading, international researchers describing a variety of approaches to this problem based on examples of implemented systems taken from a common distributed sensor network application. The book focuses on applied research and applications of sensor networks. The goal of this book is to provide important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems. Sensor networks arise as one of the most promising technologies for the next decades. The recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS) ease the development and proliferation of this kind of networks in a wide range of real-world applications. MultiAgent systems (MAS) have been identified as one of the most suitable technologies to contribute to this domain due to their appropriateness for modeling autonomous self-aware sensors in a flexible way. Sensor networks have been identified as one of the most promising technologies for the future due to: the recent emergence of small and inexpensive sensors based upon microelectromechanical system (MEMS); the set of advantages they offer in front of other monitoring technologies; and the wide range of real-world applications that have been already identified for this technology. As this new technology emerges and applies to real-world domains, it poses a variety of new challenges to researchers leading to some new active areas of interest concerning hardware and software. In DSNs, where sensor sampling, processing, data transmission, and possibly actuation is involved, the trade-off between these tasks plays an important role in power usage. Given a finite amount of energy, balancing these parameters depending on the application will be the focus of the design process of DSNs. Pervasive micro-sensing and -actuation may revolutionize the way we understand and manage complex physical systems. The capabilities for detailed physical monitoring and manipulation offer enormous opportunities for almost every scientific discipline. Networks of such devices, so-called distributed sensor networks (DSNs), provide an embedded processing platform with exciting capabilities. Applications include surveillance in inhospitable environments such as remote geographic regions or toxic locations, sensing and maintenance in large industrial plants, planetary exploration, seismic activity detection, medical sensing, micro-surgery, military surveillance and combat, fingertip accelerometer virtual keyboards, and smart office spaces. In practically all such applications, key requirements include scalability, robustness with respect to various disturbances and uncertainties, evolvability through autonomous reconfiguration and optimal redistribution of resources. Distributed Sensor Networks: A Multiagent Perspective is a compilation of research articles from leading, international researchers describing a variety of approaches to this problem based on examples of implemented systems taken from a common distributed sensor network application. The book focuses on applied research and applications of sensor networks. The goal of this book is to provide important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
