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Author: Seemanta Dutta Publisher: ISBN: 9781267740243 Category : Languages : en Pages : 83
Book Description
Wireless sensor networks have become quite pervasive in the last few years. As their technology has matured, they have transformed from an academic research area to a viable means of solving practical engineering problems. This dynamic field has several vendors who can provide the necessary software and hardware infrastructure in order to get up and running quickly. While it is relatively easy to get up and running with a 'laboratory' setup, it is a completely different story when it comes to deploying a real world wireless sensor network. Any real world deployment, whether it is outdoors or indoors, has its own unique challenges as the scale of the deployment increases. We have observed these challenges, especially involving indoor deployments while working on several research projects in our lab. Our previous projects required a large and distributed deployment of an indoor wireless sensor network. Those ad hoc deployments were done manually, making us realize the need for management primitives to do things more efficiently. The solution as proposed in this thesis, is a set of technology agnostic management primitives that help in overall management of wireless sensor networks. We used ZigBee as it is quite popular for smart building applications. Leveraging our management primitives we built features to address these challenges of administering a wireless sensor network in a building. We have used these primitives to deploy a small scale sensor network comprising of 100 nodes, which we then used to demonstrate their benefits as well as evaluate our deployment.
Author: Seemanta Dutta Publisher: ISBN: 9781267740243 Category : Languages : en Pages : 83
Book Description
Wireless sensor networks have become quite pervasive in the last few years. As their technology has matured, they have transformed from an academic research area to a viable means of solving practical engineering problems. This dynamic field has several vendors who can provide the necessary software and hardware infrastructure in order to get up and running quickly. While it is relatively easy to get up and running with a 'laboratory' setup, it is a completely different story when it comes to deploying a real world wireless sensor network. Any real world deployment, whether it is outdoors or indoors, has its own unique challenges as the scale of the deployment increases. We have observed these challenges, especially involving indoor deployments while working on several research projects in our lab. Our previous projects required a large and distributed deployment of an indoor wireless sensor network. Those ad hoc deployments were done manually, making us realize the need for management primitives to do things more efficiently. The solution as proposed in this thesis, is a set of technology agnostic management primitives that help in overall management of wireless sensor networks. We used ZigBee as it is quite popular for smart building applications. Leveraging our management primitives we built features to address these challenges of administering a wireless sensor network in a building. We have used these primitives to deploy a small scale sensor network comprising of 100 nodes, which we then used to demonstrate their benefits as well as evaluate our deployment.
Author: Xi Chen Publisher: Elsevier ISBN: 0128227710 Category : Technology & Engineering Languages : en Pages : 136
Book Description
Wireless sensor networks have a range of applications, including military uses and in environmental monitoring. When an area of interest is inaccessible by conventional means, such a network can be deployed in ways resulting in a random distribution of the sensors. Randomly Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. It quantifies the relationship between parameters of the network and its performance, and puts forward a communication protocol. The title provides analyses and formulas, giving engineering insight into randomly deployed wireless sensor networks. Five chapters consider the analysis of coverage performance; working modes and scheduling mechanisms; the relationship between sensor behavior and network performance properties; probabilistic forwarding routing protocols; localization methods for multiple targets and target number estimation; and experiments on target localization and tracking with a Mica sensor system. Details a probabilistic method to model and analyze randomly deployed wireless sensor networks Gives working modes and scheduling mechanisms for sensor nodes, allowing high-probability of target detection Considers the relationship between sensor behaviour and network performance and lifetime Offers probabilistic forwarding routing protocols for randomly deployed wireless sensor networks Describes a method for localizing multiple targets and estimating their number
Author: Fadi Al-Turjman Publisher: CRC Press ISBN: 1351207024 Category : Technology & Engineering Languages : en Pages : 222
Book Description
Wireless Sensor Networks overcome the difficulties of other monitoring systems. However, they require further efficiencies for Outdoor Environment Monitoring (OEM) applications due to their harsh operational conditions, huge targeted areas, limited energy budget, and required 3D setups. A fundamental issue in defeating these practical challenges is deployment planning. The deployment plan is a key factor of many intrinsic properties of OEM networks, summarized in connectivity, lifetime, fault-tolerance, and cost-effectiveness. This book investigates the problem of WSNs deployments that address these properties in order to overcome the unique challenges and circumstances in OEM applications.
Author: Elena Gaura Publisher: Springer Science & Business Media ISBN: 1441958347 Category : Technology & Engineering Languages : en Pages : 301
Book Description
The twentieth century ended with the vision of smart dust: a network of wirelessly connected devices whose size would match that of a dust particle, each one a se- containedpackageequippedwithsensing,computation,communication,andpower. Smart dust held the promise to bridge the physical and digital worlds in the most unobtrusive manner, blending together realms that were previously considered well separated. Applications involved scattering hundreds, or even thousands, of smart dust devices to monitor various environmental quantities in scenarios ranging from habitat monitoring to disaster management. The devices were envisioned to se- organize to accomplish their task in the most ef?cient way. As such, smart dust would become a powerful tool, assisting the daily activities of scientists and en- neers in a wide range of disparate disciplines. Wireless sensor networks (WSNs), as we know them today, are the most no- worthy attempt at implementing the smart dust vision. In the last decade, this ?eld has seen a fast-growing investment from both academia and industry. Signi?cant ?nancial resources and manpower have gone into making the smart dust vision a reality through WSNs. Yet, we still cannot claim complete success. At present, only specialist computerscientists or computerengineershave the necessary background to walk the road from conception to a ?nal, deployed, and running WSN system.
Author: Habib M. Ammari Publisher: Springer Science & Business Media ISBN: 3642400094 Category : Technology & Engineering Languages : en Pages : 826
Book Description
During the last one and a half decades, wireless sensor networks have witnessed significant growth and tremendous development in both academia and industry. “The Art of Wireless Sensor Networks: Volume 1: Fundamentals” focuses on the fundamentals concepts in the design, analysis, and implementation of wireless sensor networks. It covers the various layers of the lifecycle of this type of network from the physical layer up to the application layer. Its rationale is that the first volume covers contemporary design issues, tools, and protocols for radio-based two-dimensional terrestrial sensor networks. All the book chapters in this volume include up-to-date research work spanning various classic facets of the physical properties and functional behavior of wireless sensor networks, including physical layer, medium access control, data routing, topology management, mobility management, localization, task management, data management, data gathering, security, middleware, sensor technology, standards, and operating systems. This book will be an excellent source of information for both senior undergraduate and graduate students majoring in computer science, computer engineering, electrical engineering, or any related discipline. In addition, computer scientists, researchers, and practitioners in both academia and industry will find this book useful and interesting.
Author: Mao, Guoqiang Publisher: IGI Global ISBN: 1605663972 Category : Computers Languages : en Pages : 526
Book Description
Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.
Author: Rahul Khanna Publisher: ISBN: Category : Genetic algorithms Languages : en Pages : 240
Book Description
Advances in low-power digital integration and microelectro-mechanical systems (MEMS) have paved the way for micro-sensors. These sensors are equipped with data processing capabilities along with sensory circuits. Sensor data are processed on these individual sensors and transmitted to the target (sink). Lowcost integration and small sizes of these sensors have generated special interest in the area of disposable-sensors and large scale platform management. Queries to these sensors are addressed to nodes which have data satisfying the same condition. However, these sensors may be constrained in energy, bandwidth, storage, and processing capabilities. Large number of such sensors along with these constraints creates a sensor-management problem. At the network layer it amounts to setting up the efficient route that transmits the non-redundant data from source to the sink in order to maximize one or more sensor objectives (e.g. battery (and sensor's) life, Sensor-Data yield). This is done while adapting to changing connectivity due to failure of some nodes and new nodes powering up. First part of the thesis propose a reduced-complexity genetic algorithm (GA) for optimization of multi-hop battery-constrained sensor networks. The goal of the system is to generate optimal number of sensor-clusters with cluster-heads. It results in minimization of the power consumption of the sensor system while maximizing the sensor objectives (coverage and exposure). The genetic algorithm is used to adaptively create various components such as cluster-members, cluster-heads, and next-cluster. These components are then used to evaluate the average fitness of the system based on the sequence of communication links towards the sink. We then enhance the genetic algorithm (GA) approach for secure deployment of resource constrained multi-hop sensor networks. The goal in this case is to achieve secure coverage and improve battery life by dynamically optimizing security attributes (Like authentication and encryption). Further, we augment the GA approach for intrusion detection of resource constrained multi-hop sensor networks. Traditional intrusion detection mechanisms have limited applicability to the sensor networks due to scarce battery and processing resources. Therefore, we propose an effective scheme that would offer a power efficient and lightweight approach to identify malicious attacks. We evaluate sensor node attributes by measuring the perceived threat and its suitability to host local monitoring node (LMN) that acts as trusted proxy agent for the sink and capable of securely monitoring its neighbors. Security attributes in conjunction with genetic algorithm jointly optimizes the selection of monitoring nodes (i.e., LMN) by dynamically evaluating node fitness by profiling workloads patterns, packet statistics, utilization data, battery status, and quality-of-service compliance. Second part of the thesis delves into application of Information Technology (and Industrial) Systems and devices where the use of sensor networks can deliver non-intrusive and effective telemetry for group-based server management. These systems (Like Data Centers or Shipment tracking) face major challenges in seamless integration of telemetry and control data that is essential to various autonomic management functions related to power, thermal, reliability, predictability, survivability, locality and adaptability. Such systems that are supported by a dense network of sense-points operating in noisy environment (Metals, Cables) are required to deliver reliable trends, measurements and analysis in a timely fashion. The traditional approaches to provide distributed observability and control using wired solutions are static, expensive, and nonscalable. We apply the proposed GA approach for this unique environment that replaces static wired sensors with dynamically reconfigurable battery-powered wireless sensors. The proposed technique employs machine learning approach to optimize sensor node function assignment, clustering decisions, route establishment and data collection trees for improved throughput that results in effective controls.
Author: V. Çağrı Güngör Publisher: CRC Press ISBN: 1466500522 Category : Computers Languages : en Pages : 406
Book Description
The collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent processing. In this regard, IWSNs play a vital role in creating more reliable, efficient, and productive industrial systems, thus improving companies’ competitiveness in the marketplace. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards examines the current state of the art in industrial wireless sensor networks and outlines future directions for research. What Are the Main Challenges in Developing IWSN Systems? Featuring contributions by researchers around the world, this book explores the software and hardware platforms, protocols, and standards that are needed to address the unique challenges posed by IWSN systems. It offers an in-depth review of emerging and already deployed IWSN applications and technologies, and outlines technical issues and design objectives. In particular, the book covers radio technologies, energy harvesting techniques, and network and resource management. It also discusses issues critical to industrial applications, such as latency, fault tolerance, synchronization, real-time constraints, network security, and cross-layer design. A chapter on standards highlights the need for specific wireless communication standards for industrial applications. A Starting Point for Further Research Delving into wireless sensor networks from an industrial perspective, this comprehensive work provides readers with a better understanding of the potential advantages and research challenges of IWSN applications. A contemporary reference for anyone working at the cutting edge of industrial automation, communication systems, and networks, it will inspire further exploration in this promising research area.
Author: Sandip Shriram Bapat Publisher: ISBN: Category : Computer networks Languages : en Pages : 170
Book Description
Abstract: Wireless sensor networks have shown great potential as the technology that will change the way we interact with the physical world around us and have forced researchers to reconsider the way they think about distributed systems. However, these networks have to deal with a great deal of uncertainty arising out of the unique differences in their computational model such as unreliable communication, severely resource constrained devices and vulnerability to different types of faults. To meet these challenges, we must first understand the different reliability issues related to wireless sensor networks and then design appropriate mechanisms to deal with them. We believe network management to be a key enabler for such networks to deal with these challenges. In this dissertation, we first present a comprehensive study of different types of node and network faults that occur in wireless sensor networks and propose a fault model for these networks. Based on this fault model, we identify key elements of a network management architecture for wireless sensor networks. We then present MASE, a Management Architecture for SEnsor networks, that addresses management issues at all levels in a sensor network: at individual nodes, in the network, and also at the base station. We emphasize self-stabilizing designs for MASE components to deal with anticipated and unanticipated faults. We present key network management services such as the Stabilizing Reconfiguration service, the Chowkidar health monitoring service and the Reporter termination detection service that we have designed and implemented as part of MASE. We also present our network-based experiment orchestration framework which closes the loop in sensor network management by automating common execution and experimentation patterns. The different architectural components presented in this dissertation have been validated not only through experiments, but also in field deployments for managing large scale sensor network systems such as "A Line In The Sand" and "ExScal". Implementations for existing services and tools developed as part of the MASE architecture, for mote, Stargate and server platforms, are also publicly available in the form of a MASE toolkit.