Application Of Wireless Sensor Networks For Environmental Monitoring And Development Of An Energy Efficient Cluster Based Routing
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Wireless Sensor Networks (WSNs) have attracted the attention of many researchers. Wireless Sensor Networks (WSNs) are used for various applications such as habitat monitoring, automation, agriculture, and security. Since numerous sensors are usually deployed on remote and inaccessible places, the deployment and maintenance should be easy and scalable. Wireless sensor network consists of large number of small nodes. The nodes then sense environmental changes and report them to other nodes over flexible network architecture. Sensor nodes are great for deployment in hostile environments or over large geographical areas. The measurement of temperature & light by the use of Crossbow sensor kit in which there are different nodes/motes placed at different locations. These nodes are having different node identification & they will sense the temperature & light of there surrounding location and send it to the base station node which is connected through USB port to the computer by the use of MoteView & MoteConfig environment. The data acquisition board that we have used is MDA100CB (Mote Data Acquisition). The programming of the sensor nodes is done by MoteConfig & live data is viewed through MoteView environment. The nodes that we have used are MicaZ, the MDA100CB board is fixed over these nodes by means of 51 Input/output pins. An energy efficient hierarchical cluster-based routing protocol for continuous stream queries in WSN. We introduce a set of cluster heads, head-set, for cluster-based routing. The head-set members are responsible for control and management of the network. On rotation basis, a head-set member receives data from the neighboring nodes and transmits the aggregated results to the distant base station. For a given number of data collecting sensor nodes, the number of control and management nodes can be systematically adjusted to reduce the energy consumption, which increases the network life. Nodes in a sensor network are severely constrained by energy, s.
| Author | : Pratyay Kuila |
| Publisher | : CRC Press |
| Total Pages | : 273 |
| Release | : 2017-09-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1351648705 |
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.
| Author | : Zaman, Noor |
| Publisher | : IGI Global |
| Total Pages | : 656 |
| Release | : 2012-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1466601027 |
"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--
| Author | : Mahalle, Parikshit N. |
| Publisher | : IGI Global |
| Total Pages | : 496 |
| Release | : 2024-09-23 |
| Genre | : Technology & Engineering |
| ISBN | : |
Today, data fuels everything we do in a highly connected world. However, traditional environmental monitoring methods often fail to provide timely and accurate data for effective decision-making in today's rapidly changing ecosystems. The reliance on manual data collection and outdated technologies results in gaps in data coverage, making it challenging to detect and respond to environmental changes in real time. Additionally, integration between monitoring systems and advanced data analysis tools is necessary to derive actionable insights from collected data. As a result, environmental managers and policymakers face significant challenges in effectively monitoring, managing, and conserving natural resources in a rapidly evolving environment. Machine Learning for Environmental Monitoring in Wireless Sensor Networks offers a comprehensive solution to the limitations of traditional environmental monitoring methods. By harnessing the power of Wireless Sensor Networks (WSNs) and advanced machine learning algorithms, this book presents a novel approach to ecological monitoring that enables real-time, high-resolution data collection and analysis. By integrating WSNs and machine learning, environmental stakeholders can gain deeper insights into complex ecological processes, allowing for more informed decision-making and proactive management of natural resources.
| Author | : Philip John Sallis |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 209 |
| Release | : 2017-10-04 |
| Genre | : Computers |
| ISBN | : 9535135619 |
Wireless sensor networks (WSNs) have emerged as a phenomenon of the twenty-first century with numerous kinds of sensor being developed for specific applications. The origins of WSNs can, however, be traced back to the early days of connectivity between computers and their peripherals. Work with distributed sensor networks is evidenced in the literature during the latter part of the 1970s, continuing in functionality increases in the 1980s and 1990s. As a configuration of independent devices in a data communications network, WSNs are now pre-eminent as working solutions to numerous precision data collection situations where software control of instruments and routing protocols are needed. In this book, the authors have chosen a selection of specific topics relating to WSNs: their design, development, implementation and function. Some operating topics are addressed such as power management, data interchange protocols, instrument reliability and system security. Other topics are more application oriented, where particular hardware and software configurations are described to deliver system solutions for specific needs. All are clearly written with considerable detail relating to each of the issues addressed by the authors. Each of the chapters provides a rationale for the topic being covered and some general WSN details where appropriate. The citations used in the chapters are comprehensively referred to, which adds depth to the information being presented.
| Author | : Sanyog Rawat |
| Publisher | : Springer Nature |
| Total Pages | : 679 |
| Release | : 2022-01-03 |
| Genre | : Technology & Engineering |
| ISBN | : 9811662460 |
This book includes high-quality papers presented at Proceedings of First International Conference on Computational Electronics for Wireless Communications (ICCWC 2021), held at National Institute of Technology, Kurukshetra, Haryana, India, during June 11–12, 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in computational electronics with an emphasis on wireless communications. The topics covered in the book are radio frequency and microwave, signal processing, microelectronics and wireless networks.
| Author | : Tarek Sobh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 597 |
| Release | : 2008-08-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1402087373 |
Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology and Automation, Telecommunications and Networking. Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes selected papers form the conference proceedings of the International Conference on Industrial Electronics, Technology and Automation (IETA 2007) and International Conference on Telecommunications and Networking (TeNe 07) which were part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
| Author | : Vidushi Sharma |
| Publisher | : CRC Press |
| Total Pages | : 297 |
| Release | : 2017-07-28 |
| Genre | : Computers |
| ISBN | : 149878335X |
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.
| Author | : Suman Lata Tripathi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 384 |
| Release | : 2021-03-26 |
| Genre | : Computers |
| ISBN | : 1119761794 |
There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.
| Author | : Pandian Vasant |
| Publisher | : Springer Nature |
| Total Pages | : 1020 |
| Release | : 2021-12-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3030932478 |
This book includes the scientific results of the fourth edition of the International Conference on Intelligent Computing and Optimization which took place at December 30–31, 2021, via ZOOM. The conference objective was to celebrate “Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation—marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings encloses the original and innovative scientific fields of optimization and optimal control, renewable energy and sustainability, artificial intelligence and operational research, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine.
