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Author: Publisher: ISBN: Category : Languages : en Pages : 43
Book Description
Wireless sensor networks constitute an emerging technology that has received recently significant attention both from industry and academia. On the one hand, there is an ever-widening range of attractive applications (e.g., disaster and environmental monitoring, wildlife habitat monitoring, target tracking, intrusion detection, security surveillance) sensor networks can be used for. On the other hand, sensor networks are self-organizing ad-hoc systems where optimized energy consumption is of paramount importance; therefore, relaying information between sensors and a sink node, possibly over multiple wireless hops, in an energy-efficient manner is a challenging task that preoccupies the research community for some time now. Optimizing energy consumption in wireless sensor networks is of paramount importance. Sensors are tiny devices with sensing, processing, and transmitting capabilities; they are of low cost, but have a consequently low storage and computational capacity, and a limited energy supply. It is usually considered impossible or impractical (from a technical or economical point of view) to recharge their batteries; thus, they should be managed in such a way to ensure the unattended operation of the network for a long enough time period (e.g., several months). There is a recent trend to deal with this problem by introducing mobile elements (sensors or sink nodes) in the network. The majority of these approaches assume time-driven scenarios. However, there are several real-life applications for which an event-based is more appropriate. In this paper we propose to adaptively move the sink node inside the covered region, according to the evolution of current events, so as to minimize the energy consumption of the dissemination of the event-related data. Both analytical and simulation results are given.
Author: Publisher: ISBN: Category : Languages : en Pages : 43
Book Description
Wireless sensor networks constitute an emerging technology that has received recently significant attention both from industry and academia. On the one hand, there is an ever-widening range of attractive applications (e.g., disaster and environmental monitoring, wildlife habitat monitoring, target tracking, intrusion detection, security surveillance) sensor networks can be used for. On the other hand, sensor networks are self-organizing ad-hoc systems where optimized energy consumption is of paramount importance; therefore, relaying information between sensors and a sink node, possibly over multiple wireless hops, in an energy-efficient manner is a challenging task that preoccupies the research community for some time now. Optimizing energy consumption in wireless sensor networks is of paramount importance. Sensors are tiny devices with sensing, processing, and transmitting capabilities; they are of low cost, but have a consequently low storage and computational capacity, and a limited energy supply. It is usually considered impossible or impractical (from a technical or economical point of view) to recharge their batteries; thus, they should be managed in such a way to ensure the unattended operation of the network for a long enough time period (e.g., several months). There is a recent trend to deal with this problem by introducing mobile elements (sensors or sink nodes) in the network. The majority of these approaches assume time-driven scenarios. However, there are several real-life applications for which an event-based is more appropriate. In this paper we propose to adaptively move the sink node inside the covered region, according to the evolution of current events, so as to minimize the energy consumption of the dissemination of the event-related data. Both analytical and simulation results are given.
Author: Ajith Abraham Publisher: Springer Science & Business Media ISBN: 3642227252 Category : Computers Languages : en Pages : 656
Book Description
This volume is the fourth part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 62 revised full papers presented in this volume were carefully reviewed and selected from a large number of submissions. The papers are the papers of the Workshop on Cloud Computing: Architecture, Algorithms and Applications (CloudComp2011), of the Workshop on Multimedia Streaming (MultiStreams2011), and of the Workshop on Trust Management in P2P Systems (IWTMP2PS2011).
Author: Anna Förster Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG ISBN: 9783838109367 Category : Languages : de Pages : 236
Book Description
Routing and clustering for wireless sensor networks (WSN) play a significant role for reliable and energy efficient data dissemination. Although these research areas attract a lot of interest lately, there is still no holistic approach that is able to meet the requirements and challenges of many different applications and network scenarios, like various network sizes and topologies, multiple mobile data sinks, or node failures. The main goal of this work is to demonstrate that machine learning is a practical approach to a range of complex distributed problems in WSNs. Showing this will open up new paths for development at all levels of the communication stack. To achieve this goal we present a robust, energy-efficient, and flexible data dissemination framework consisting of the routing protocol FROMS and the clustering protocol Clique. Both are based on reinforcement learning, and exhibit vital properties such as robustness against mobility, node and link failures, fast recovery after failures, very low control overhead and a wide variety of supported network scenarios and applications. Both protocols are fully distributed and have minimal communication overhead.
Author: Amiya Nayak Publisher: John Wiley & Sons ISBN: 0470170824 Category : Technology & Engineering Languages : en Pages : 316
Book Description
This timely book offers a mixture of theory, experiments, and simulations that provides qualitative and quantitative insights in the field of sensor and actuator networking. The chapters are selected in a way that makes the book comprehensive and self-contained. It covers a wide range of recognized problems in sensor networks, striking a balance between theoretical and practical coverage. The book is appropriate for graduate students and practitioners working as engineers, programmers, and technologists.
Author: Jian Chen Publisher: ISBN: Category : Languages : en Pages :
Book Description
A large-scale distributed wireless sensor network is composed of a large collection of small low-power, unattended sensing devices equipped with limited memory, processors, and short-range wireless communication. The network is capable of controlling and monitoring ambient conditions, such as temperature, movement, sound, light and others, and thus enable smart environments. Energy efficient data disseminationis one of the fundamental services in large-scale wireless sensor networks. Based on the study of the data dissemination problem, we propose two efficient data dissemination schemes for two categories of applications in large-scale wireless sensor networks. In addition, our schemes provide spatial-based multi-resolution data dissemination for some applications to achieve further energy efficiency. Analysis and simulation results are given to show the performance of our schemes in comparison with current techniques.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Wireless sensor networks (WSNs) are a fast developing research area with many new exciting applications arising, ranging from micro climate and environmental monitoring through health and structural monitoring to interplanetary communications. At the same time researchers have invested a lot of time and effort into developing high performance energy efficient and reliable communication protocols to meet the growing challenges of WSN applications and deployments. However, some major problems still remain: for example programming, planning and deploying sensor networks, energy efficient communication, and dependability under harsh environmental conditions. Routing and clustering for wireless sensor networks play a significant role for reliable and energy efficient data dissemination. Although these research areas have attracted a lot of interest lately, there is still no general holistic approach that is able to meet the requirements and challenges of many different applications and network scenarios, like various network sizes and topologies, multiple mobile data sinks, or node failures. The current state-of-the-art is rich in specialized routing and clustering protocols, which concentrate on one or a few of the above problems, but perform poorly under slightly different network conditions. The main goal of this thesis is to demonstrate that machine learning is a practical approach to a range of complex distributed problems in WSNs. Showing this will open up new paths for development at all levels of the communication stack. To achieve our goal we contribute a robust, energy-efficient, and flexible data dissemination framework consisting of a routing protocol called \froms and a clustering protocol called Clique. Both protocols are based on Q-Learning, a reinforcement learning technique, and exhibit vital properties such as robustness against mobility, node and link failures, fast recovery after failures, very low control overhead and a wide variety of supported netw.
Author: Jun Zheng Publisher: John Wiley & Sons ISBN: 0470443510 Category : Technology & Engineering Languages : en Pages : 521
Book Description
Learn the fundamental concepts, major challenges, and effective solutions in wireless sensor networking This book provides a comprehensive and systematic introduction to the fundamental concepts, major challenges, and effective solutions in wireless sensor networking (WSN). Distinguished from other books, it focuses on the networking aspects of WSNs and covers the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, network security, and sensor network standards. With contributions from internationally renowned researchers, Wireless Sensor Networks expertly strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academic researchers, research engineers, and practitioners in industry. It is also suitable as a textbook or supplementary reading for electrical engineering, computer engineering, and computer science courses at the graduate level.
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Author: Dipu Zhang
Author: Ajith Abraham
Author: Anna Förster
Author: Louisa Harutyunyan
Author: Amiya Nayak
Author: Jian Chen
Author: 
Author: Carlos F. Bernal Velazquez
Author: Jun Zheng