Some of us may get distracted by notification or anything else on the electronic devices. In those cases, you can find out your thoughts are not in your control.
So, I recommend you, to purchase the hard copy of this book from the publishers and learn from it. Senthamilselvan July 02, Komentar. Related Posts. Prev Next Home. Subscribe to: Post Comments Atom. All books of 3rd standard CBSE books are available here. Downloadable file is in PDF format you can CBSE books of 1st Standard. All books of 1st standard CBSE books are available here. CBSE books of 4th Standard.
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? 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? Recently, a number of efforts, both from industry and academia have been made for the purpose of effectively deploying WSN for a variety of applications e.
The power constraints of sensor devices pose many fundamental design issues in WSNs, such as coverage, connectivity and lifetime. For example, design of an environmental monitoring WSN needs to target maintaining a satisfactory sensing coverage and transmit the required sensor data e.
However, multihop transmission makes the sensors close to the BS consume more energy than other far away nodes because of packets to be relayed to the BS. Once closeby nodes use up their energy, data from far away nodes can not be transmitted to the BS directly and the network performance is heavily affected.
In this dissertation, we study different deployment strategies for WSNs. We introduce the use of some redundant nodes so that the lifetime of WSNs could be prolonged.
Nonuniform deployment of WSNs is also discussed. The main idea is to deploy more nodes close to the BS so as to balance the energy consumption among all sensors. Three kinds of deployment strategies deterministic deployment, partially controlled deployment and distribution controlled deployment are studied.
We also provide a data collection protocol design to support the nonuniform deployment architecture. We also explore the future research directions related with WSN deployment strategies.
Whether it? As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future. Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications.
It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.
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.
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.
These sensors can only be supported, if sufficient energy efficiency and flexible solutions are developed for energy-aware wireless sensor nodes. In the last years, different possibilities for energy harvesting have been investigated showing a high level of maturity. This book gives therefore an overview on fundamentals and techniques for energy harvesting and energy transfer from different points of view.
Different techniques and methods for energy transfer, management and energy saving on network level are reported together with selected interesting applications. The book is interesting for researchers, developers and students in the field of sensors, wireless sensors, WSNs, IoT and manifold application fields using related technologies. The book is organized in four major parts. The first part of the book introduces essential fundamentals and methods, while the second part focusses on vibration converters and hybridization.
The third part is dedicated to wireless energy transfer, including both RF and inductive energy transfer. Finally, the fourth part of the book treats energy saving and management strategies.
The main contents are: Essential fundamentals and methods of wireless sensors Energy harvesting from vibration Hybrid vibration energy converters Electromagnetic transducers Piezoelectric transducers Magneto-electric transducers Non-linear broadband converters Energy transfer via magnetic fields RF energy transfer Energy saving techniques Energy management strategies Energy management on network level Applications in agriculture Applications in structural health monitoring Application in power grids Prof.
Olfa Kan. 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.
To guarantee efficiency and durability in a network, the science must go beyond hardware solutions and seek alternative software solutions that allow for better data control from the source to delivery. Data transfer must obey different routing protocols, depending on the application type and network architecture. The correct protocol should allow for fluid information flow, as well as optimizing power consumption and resources — a challenge faced by dense networks.
The topics covered in this book provide answers to these needs by introducing and exploring computer-based tools and protocol strategies for low power consumption and the implementation of routing mechanisms which include several levels of intervention, ranging from deployment to network operation.
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