Optimal Coverage In Wireless Sensor Networks


Optimal Coverage In Wireless Sensor Networks
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Optimal Coverage In Wireless Sensor Networks


Optimal Coverage In Wireless Sensor Networks
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Author : Weili Wu
language : en
Publisher: Springer Nature
Release Date : 2020-09-30

Optimal Coverage In Wireless Sensor Networks written by Weili Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Mathematics categories.


This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems. Readers will find it a useful tool for furthering developments on theory and applications of optimal coverage; much of the content can serve as material for advanced topics courses at the graduate level. The book is well versed with the hottest research topics such as Lifetime of Coverage, Weighted Sensor Cover, k-Coverage, Heterogeneous Sensors, Barrier, Sweep and Partial Coverage, Mobile Sensors, Camera Sensors and Energy-Harvesting Sensors, and more. Topics are introduced in a natural order from simple covers to connected covers, to the lifetime problem. Later, the book begins revisiting earlier problems ranging from the introduction of weights to coverage by k sensors and partial coverage, and from sensor heterogeneity to novel problems such as the barrier coverage problem. The book ends with coverage of mobile sensors, camera sensors, energy-harvesting sensors, underwater sensors, and crowdsensing.



Foundations Of Coverage For Wireless Sensor Networks


Foundations Of Coverage For Wireless Sensor Networks
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Author : Santosh Kumar
language : en
Publisher:
Release Date : 2006

Foundations Of Coverage For Wireless Sensor Networks written by Santosh Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Sensor networks categories.


Abstract: Wireless sensor networks (WSN) promise to revolutionize the way we monitor our surroundings by enhancing our senses. Prototype systems are already being demonstrated. Several fundamental research issues, however, remain unaddressed. Sensing events being the main task of a WSN, appropriately addressing the issue of coverage is critical. In this dissertation, we make a two fold contribution on establishing a strong foundation for the issue of coverage. First, we argue that a single concept of coverage such as k-full coverage (where every point in the deployment region needs to be within the monitoring range of at least k sensors) does not fit all applications. We propose a new concept of coverage called k-barrier coverage that is appropriate for intrusion detection applications. A WSN provides k-barrier coverage} if it guarantees that every penetrating object is detected by at least k sensors before crossing the barrier of sensors. Second, we address five foundational problems for the issue of k-barrier coverage: optimal deployment pattern, critical conditions, coverage status determination, coverage restoration, and optimal sleep wakeup. The problem of optimal deployment pattern is to determine a pattern of deployment that uses the minimum number of sensors. The problem of critical conditions is to derive conditions that can be used to determine the minimum number of sensors to deploy in probabilistic deployments. The problem of coverage status determination is to determine whether a deployed WSN provides a desired quality of monitoring. The problem of coverage restoration is to determine the minimum number of sensors to deploy, and their locations, such that a desired quality of monitoring can be restored in a deployed WSN. The problem of optimal sleep wakeup is to produce a sleeping schedule for sensors that maximizes the network lifetime. We comprehensively solve four of the five foundational problems. For the problem of critical conditions, we derive the conditions for a weaker notion of k-barrier coverage, called weak k-barrier coverage. In addition, we derive critical conditions for the case of k-full coverage.



Coverage Control In Sensor Networks


Coverage Control In Sensor Networks
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Author : Bang Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-11

Coverage Control In Sensor Networks written by Bang Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-11 with Computers categories.


The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase of higher spatial and temporal re- lution and accuracy. With the fast progress of sensors design and communications technique, sensor networks have also been quickly evolving in both research and practical domains in the last decade. More and more sensor networks have been - ployed in real-world to gather information for our daily life. Applications of sensor networks can be found in battle?eld surveillance, environmental monitoring, b- logical detection, smart spaces, industrial diagnostics, etc. Although the technique of sensor networks has a very promising future, many challenges are still deserving lots of research efforts for its successful applications. Thisbookisdevotedtocoveragecontrol,oneofthemostfundamentalandimportant research issues in sensor networks. The aim of the book is to provide tutorial-like and up-to-date reference resources on various coverage control problems in sensor networks, a hot topic that has been intensively researched in recent years. Due to some unique characteristics of sensor networks such as energy constraint and - hoc topology, the coverage problems in sensor networks have many new scenarios and features that entitle them an important research issue in recent years. I have done my best to include in the book the most recent advances, techniques, protocols, results, and ?ndings in this ?eld.



Advanced Intelligent Computing Theories And Applications


Advanced Intelligent Computing Theories And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-03

Advanced Intelligent Computing Theories And Applications written by De-Shuang Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-03 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in pattern recognition; intelligent computing in image processing; intelligent computing in computer vision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.



Glowworm Swarm Optimization


Glowworm Swarm Optimization
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Author : Krishnanand N. Kaipa
language : en
Publisher: Springer
Release Date : 2017-01-10

Glowworm Swarm Optimization written by Krishnanand N. Kaipa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-10 with Technology & Engineering categories.


This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.



Smart Wireless Sensor Networks


Smart Wireless Sensor Networks
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Author : Yen Kheng Tan
language : en
Publisher: IntechOpen
Release Date : 2010-12-14

Smart Wireless Sensor Networks written by Yen Kheng Tan and has been published by IntechOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-14 with Technology & Engineering categories.


The recent development of communication and sensor technology results in the growth of a new attractive and challenging area - wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors which do not only perceive ambient physical parameters but also be able to process information, cooperate with each other and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption. Special purposes of the applications require design and operation of WSNs different from conventional networks such as the internet. The network design must take into account of the objectives of specific applications. The nature of deployed environment must be considered. The limited of sensor nodes resources such as memory, computational ability, communication bandwidth and energy source are the challenges in network design. A smart wireless sensor network must be able to deal with these constraints as well as to guarantee the connectivity, coverage, reliability and security of network's operation for a maximized lifetime. This book discusses various aspects of designing such smart wireless sensor networks. Main topics includes: design methodologies, network protocols and algorithms, quality of service management, coverage optimization, time synchronization and security techniques for sensor networks.



Simulated Evolution And Learning


Simulated Evolution And Learning
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Author : Kalyanmoy Deb
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-16

Simulated Evolution And Learning written by Kalyanmoy Deb and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-16 with Computers categories.


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Smart Wireless Sensor Networks


Smart Wireless Sensor Networks
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Author : Yen Kheng Tan
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-12-14

Smart Wireless Sensor Networks written by Yen Kheng Tan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-14 with Technology & Engineering categories.


The recent development of communication and sensor technology results in the growth of a new attractive and challenging area - wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors which do not only perceive ambient physical parameters but also be able to process information, cooperate with each other and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption. Special purposes of the applications require design and operation of WSNs different from conventional networks such as the internet. The network design must take into account of the objectives of specific applications. The nature of deployed environment must be considered. The limited of sensor nodes resources such as memory, computational ability, communication bandwidth and energy source are the challenges in network design. A smart wireless sensor network must be able to deal with these constraints as well as to guarantee the connectivity, coverage, reliability and security of network's operation for a maximized lifetime. This book discusses various aspects of designing such smart wireless sensor networks. Main topics includes: design methodologies, network protocols and algorithms, quality of service management, coverage optimization, time synchronization and security techniques for sensor networks.



A Complete Guide To Wireless Sensor Networks


A Complete Guide To Wireless Sensor Networks
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Author : Ankur Dumka
language : en
Publisher: CRC Press
Release Date : 2019-05-31

A Complete Guide To Wireless Sensor Networks written by Ankur Dumka and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Technology & Engineering categories.


This book provides comprehensive coverage of the major aspects in designing, implementing, and deploying wireless sensor networks by discussing present research on WSNs and their applications in various disciplines. It familiarizes readers with the current state of WSNs and how such networks can be improved to achieve effectiveness and efficiency. It starts with a detailed introduction of wireless sensor networks and their applications and proceeds with layered architecture of WSNs. It also addresses prominent issues such as mobility, heterogeneity, fault-tolerance, intermittent connectivity, and cross layer optimization along with a number of existing solutions to stimulate future research.



Randomly Deployed Wireless Sensor Networks


Randomly Deployed Wireless Sensor Networks
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Author : Xi Chen
language : en
Publisher: Elsevier
Release Date : 2020-06-18

Randomly Deployed Wireless Sensor Networks written by Xi Chen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Technology & Engineering categories.


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