Wireless Sensor Networks and Energy Efficiency Protocols Routing and Management

"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--

Author: Zaman, Noor

Publisher: IGI Global

ISBN: 9781466601024

Category: Technology & Engineering

Page: 655

View: 145

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"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--
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Energy Efficient Wireless Sensor Networks

This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas.

Author: Vidushi Sharma

Publisher: CRC Press

ISBN: 9781498783354

Category: Computers

Page: 276

View: 970

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The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.
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Energy Conservation Methods for Use in Wireless Sensor Network Communications

Wireless Sensor Networks (WSNs) are composed of tiny sensor nodes, which are cable of sensing and processing data from inaccessible environments and communicating them to the end-user for further analysis.

Author: Sofiane Moad

Publisher:

ISBN: OCLC:800919443

Category:

Page: 370

View: 128

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Wireless Sensor Networks (WSNs) are composed of tiny sensor nodes, which are cable of sensing and processing data from inaccessible environments and communicating them to the end-user for further analysis. WSNs are characterized by the limited capacity of sensor node batteries, which makes energy-efficiency a critical issue. Once a WSN is deployed, sensor nodes must self-organize and live as long as possible, based only on their initial amount of energy. Consequently, techniques minimizing energy consumption are required to improve network lifetime. In such a way, this thesis deals with the development of various energy-saving mechanisms. Our research revolves around three main areas: 1) in-network processing, 2) clustering, and 3) radio diversity. Concerning in-network processing, we proposed a Smart AGgregation technique (SAG) that controls energy consumption, while adjusting user error. On the same subject, we integrate a compression mechanism within a cluster-based architecture to develop a Compression Cluster-based scheme in a Spatial Correlated Region protocol (CC\_SCR), to further decrease energy consumption. Moving on to clustering, our research leds to the development of an ADaptive Energy-Efficient Clustering protocol (ADEEC), resulting in better network organization and decreased in energy consumption. In the field of diversity direction, we explored how to minimize energy consumption when using multiple radios for routing in WSNs. We first proposed a novel metric that uses a minimum-energy radio when routing, then we proposed another metric that allows energy balancing inside a network in order to extend its lifetime, and finally we proposed a delay-sensitive metric that adapts routing packets with different priorities. The validation of our contributions were carried out with deep analytical analysis and simulation using TOSSIM.
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Certain Power Management Algorithms for Wireless Sensor Networks by Energy Efficient Data Transmission Security and Node Deployment

Doctoral Thesis / Dissertation from the year 2017 in the subject Electrotechnology, grade: PhD, , course: Doctor of Philosophy, language: English, abstract: Wireless Sensor Networks (WSNs) is fast emerging as prominent study area that ...

Author: Linoy A Tharakan

Publisher: GRIN Verlag

ISBN: 9783668635241

Category: Technology & Engineering

Page: 134

View: 553

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Doctoral Thesis / Dissertation from the year 2017 in the subject Electrotechnology, grade: PhD, , course: Doctor of Philosophy, language: English, abstract: Wireless Sensor Networks (WSNs) is fast emerging as prominent study area that attracting considerable research attention globally. The field has seen tremendous development in design and development of application related interfaces with sensor networks. Sensor network finds applications in several domains such as medical, military, home networks, space and so on. Many researchers strongly believe that WSNs can become as important as the internet in the near future. Just as the internet allows access to digital information anywhere, WSNs could easily provide remote interaction with the physical world. It is going to be the backbone of Ubiquitous Computing (UBICOMP).Through local collaboration among sensors, elimination of duplicate data, participation of relevant nodes in the given task etc. can produce a significant difference in energy conservation, thereby increasing the life time of the sensor network. As the number of nodes increases, data security becomes the most challenging part of the network. The intruders can hack the data any time during processing, transmission or at the receiver end. So, as a popular approach data encryption is the most commendable approach in today’s network. Asymmetric key encryption consumes more energy in processing and so not recommended for WSNs. Symmetric key encryption gives better performance with respect to asymmetric key encryption in WSN applications. It uses less computational power due to relatively effortless mathematical operations, and eventually spends less power. This thesis also proposes a symmetric data encryption through Tabulation method of Boolean function reductionfor the WSNs for secure data transmission. It also suggests a new secure approach, SEEMd, Security Enabled Energy Efficient Middleware algorithmfor the critical data sensing and gives a second chance to the nodes before it falls into to sleep mode for energy management. WSNs are designed for applications which range from small-size healthcare surveillance systems to large-scale agricultural monitoring or environmental monitoring. Thus, any WSN deployment, data aggregation, processing and communication have to assure minimum Quality of Service (QoS) in the network from application to application. In this circumstances, the proposed algorithms in this thesis proved to be efficient and reliable in energy saving and life time enhancement.
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Mobile Wireless and Sensor Networks

The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.

Author: Amine Dahane

Publisher: CRC Press

ISBN: 9781351190749

Category: Computers

Page: 218

View: 142

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Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach, the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. In Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, the authors use an approach based on computing of the weight of each node in the network as the proposed technique to deal with this problem. They present a virtual laboratory platform (VLP) of baptized mercury, allowing students and researchers to make practical work (PW) on different aspects of mobile wireless sensor networks. The authors’ choice of WSNs is motivated mainly by the use of real experiments needed in most college courses on WSNs. These usual experiments, however, require an expensive investment and many nodes in the classroom. The platform presented here aims at showing the feasibility, the flexibility, and the reduced cost using the authors’ approach. The authors demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs. The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.
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Energy efficient Communication Strategies for Wireless Sensor Networks

Hence, energy efficiency is an important issue in system design and operation of WSNs. In this work we focus on solving the energy efficiency problems of data gathering processes in WSNs.

Author: Yujie Zhu

Publisher:

ISBN: OCLC:173360385

Category: Electric network topology

Page:

View: 939

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Wireless sensor networks (WSNs) are characterized by limited amount of energy supply at sensor nodes. Hence, energy efficiency is an important issue in system design and operation of WSNs. In this work we focus on solving the energy efficiency problems of data gathering processes in WSNs. We first address this problem on a macroscopic level by investigating the efficiency of data gathering trees when data sent by different sensors are correlated. Such correlation aware data gathering strategies typically shift the aggregation structure from a default shortest-path tree (SPT) to a steiner minimum tree (SMT) in order to achieve the required efficiency. We study the energy efficiency of correlation aware data aggregation trees under various sensor network conditions and the tradeoffs involved in using them. Comprehensive simulation results as well as inferences and theoretical analysis of those results are presented in the thesis. Based on the insights gained through the investigation, we propose a simple, scalable and distributed correlation aware aggregation structure that achieves good energy performance across a wide range of sensor network configurations, and at the same time addresses the practical challenges of establishing a correlation aware data aggregation structure in resource-constrained WSNs. On a microscopic level, we propose a novel communication strategy called Communication through Silence (CtS) to achieve energy-efficient data gathering without significant degradation on overall throughput in WSNs. The proposed scheme primarily uses time, along with a minimal amount of energy to deliver information among sensors. CtS can be used to replace the conventional energy-based transmissions between each pair of sensor nodes during a data gathering process. We analyze in detail the primary energy-throughput tradeoff inherent in this approach as well as other challenges related to the realization of the proposed communication strategy. Finally, we propose a practical realization of CtS strategy that includes radio technology, MAC layer, and higher layer solutions. Performance evaluation results prove that this solution effectively realizes the CtS strategy in a WSN setting, at the same time achieves considerable energy savings compared to conventional communication strategies.
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Energy Efficient Wireless Sensor Networks

8.11.1.1 Scheme Defending Against One Compromised Node

Author: Vidushi Sharma

Publisher: CRC Press

ISBN: 1498783341

Category: Wireless sensor networks

Page: 296

View: 562

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The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.
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Clustering and Routing Algorithms for Wireless Sensor Networks

Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches.

Author: Pratyay Kuila

Publisher: CRC Press

ISBN: 9781498753838

Category: Technology & Engineering

Page: 194

View: 358

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Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.
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Energy Efficient Data Aggregation in Wireless Sensor Networks

Wireless sensor networks (WSNs) form a critical interface between physical and digital worlds by converting physical qualities into measurements which can be used for a wide-ranging spectrum of applications.

Author: Jinseok Yang

Publisher:

ISBN: OCLC:933260184

Category:

Page: 115

View: 471

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Wireless sensor networks (WSNs) form a critical interface between physical and digital worlds by converting physical qualities into measurements which can be used for a wide-ranging spectrum of applications. In the past, these WSNs have been application-specific and exposed only to a limited set of users. Going forward, WSNs will no longer be specialized networks. The new emerging IoT will run multiple applications that have diverse delay requirements for generated and received measurements. In this thesis, we propose a power management framework that operates on the sensing platforms which have multiple power managers. For example, sensors are controlled by sensor controller and battery is managed by battery manager in order to minimize the unnecessary energy consumption. The proposed framework integrates these different power management approaches and optimizes their interactions to achieve optimality in terms of energy efficiency. Proposed approach saves 20\% to 60\% of energy consumption compared to the state of art approaches. In addition, we propose an optimal transmission manager that supports multiple applications in single-hop wireless sensor networks. We formulate the problem with Markov decision process model and dynamically adjust transmission instances based on random delay requirements of buffered measurements. Then, we propose a distributed transmission manager that leverages the optimal transmission manager to operate in multi-hop WSNs. We implement both transmission managers in ns3 simulator and compare with other state of the art designs. The results show that the proposed transmission manager consumes on average 148.3% less energy than the state of the art approaches while on average having 14.1% fewer measurements that expire. Lastly, we propose adaptive information dissemination protocol in order to provide information to users in vicinity. Sensors estimate users moving speed and adjust information provision interval in order to save energy. The results show that our proposed approach decrease in power consumption by a factor of 2x to 8x in a single sensor, and 2x to 16x in 10 node sensor network, when compared to the state of art approaches.
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Clustering and Routing Algorithms for Wireless Sensor Networks

Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches.

Author: Pratyay Kuila

Publisher:

ISBN: 1315152665

Category: COMPUTERS

Page: 194

View: 768

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"Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions."--Provided by publisher.
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Mobile Wireless and Sensor Networks

The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.

Author: Amine Dahane

Publisher: CRC Press

ISBN: 9781351190732

Category: Science

Page: 218

View: 148

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Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach, the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. In Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, the authors use an approach based on computing of the weight of each node in the network as the proposed technique to deal with this problem. They present a virtual laboratory platform (VLP) of baptized mercury, allowing students and researchers to make practical work (PW) on different aspects of mobile wireless sensor networks. The authors’ choice of WSNs is motivated mainly by the use of real experiments needed in most college courses on WSNs. These usual experiments, however, require an expensive investment and many nodes in the classroom. The platform presented here aims at showing the feasibility, the flexibility, and the reduced cost using the authors’ approach. The authors demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs. The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.
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SRAM Design for Wireless Sensor Networks

This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications.

Author: Vibhu Sharma

Publisher: Springer Science & Business Media

ISBN: 9781461440390

Category: Technology & Engineering

Page: 172

View: 611

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This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications. Conventional SRAM design targets area efficiency and high performance at the increased cost of energy consumption, making it unsuitable for computation-intensive sensor node applications. This book, therefore, guides the reader through different techniques at the circuit level for reducing energy consumption and increasing the variability resilience. It includes a detailed review of the most efficient circuit design techniques and trade-offs, introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability for the advanced technology nodes.
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Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks WSN Energy Efficiency of S Web and LEACH

Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: -, , course: Master of Technology, language: English, abstract: Wireless Sensor Networks (WSNs) are highly integrated technologies applying sensors, ...

Author: Sahil Sholla

Publisher: GRIN Verlag

ISBN: 9783656930006

Category: Computers

Page: 35

View: 816

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Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: -, , course: Master of Technology, language: English, abstract: Wireless Sensor Networks (WSNs) are highly integrated technologies applying sensors, microcontrollers and wireless networks technologies. Wireless sensor networks (WSNs) is a promising technology that has a large spectrum of applications such as, battlefield reconnaissance, border protection and security surveillance, preparing forecasts, severe environment detection, volcano monitoring, disaster management. WSNs operate unattended in harsh environments with limited energy supplies that can’t be practically changed or recharged. Thus energy efficiency is a critical design issue which must be addressed. Clustering plays an effective role in judicious use of dwindling energy resources of the deployed sensor nodes. Nodes are grouped into clusters and a specific designated node, called the cluster head is responsible for collecting data from the nodes in its cluster, aggregating them and sending to the BS, where data can be retrieved later. Besides energy efficiency, clustering has many other advantages like reduced routing overhead, conservation of communication bandwidth, stabilized network topology, network stability etc In this research, we study the energy efficiency of two clustering algorithms, S-Web and LEACH and compare them for network lifetime. Simulation results show that the S-Web clustering mechanism achieves a noticeable improvement in the network lifetime.
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Ultra Low Energy Wireless Sensor Networks in Practice

Finally a book on Wireless Sensor Networks that covers real world applications and contains practical advice! Kuorilehto et al. have written the first practical guide to wireless sensor networks.

Author: Mauri Kuorilehto

Publisher: Wiley

ISBN: 9780470516799

Category: Technology & Engineering

Page: 396

View: 538

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Finally a book on Wireless Sensor Networks that covers real world applications and contains practical advice! Kuorilehto et al. have written the first practical guide to wireless sensor networks. The authors draw on their experience in the development and field-testing of autonomous wireless sensor networks (WSNs) to offer a comprehensive reference on fundamentals, practical matters, limitations and solutions of this fast moving research area. Ultra Low Energy Wireless Sensor Networks in Practice: Explains the essential problems and issues in real wireless sensor networks, and analyzes the most promising solutions. Provides a comprehensive guide to applications, functionality, protocols, and algorithms for WSNs. Offers practical experiences from new applications and their field-testing, including several deployed networks. Includes simulations and physical measurements for energy consumption, bit rate, latency, memory, and lifetime. Covers embedded resource-limited operating systems, middleware and application software. Ultra Low Energy Wireless Sensor Networks in Practice will prove essential reading for Research Scientists, advanced students in Networking, Electrical Engineering and Computer Science as well as Product Managers and Design Engineers.
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