Название: Intelligent Sensor Node-Based Systems: Applications in Engineering and ScienceАвтор: Anamika Ahirwar, Piyush Kumar Shukla, Prashant Kumar Shukla
Издательство: Apple Academic Press, CRC Press
Год: 2024
Страниц: 324
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB
This new volume covers the fusion of IoT and wireless communication technology for real-life applications. It discusses the current developments, trends, and latest usage of technology in the area of wireless sensor networks (WSNs) and IoT, which offer improvement in many areas, including in enabling smart homes, in agricultural systems, for security systems, for university monitoring systems, and more.
The volume also provides a theoretical analysis and discussion of the factors influencing smart sensing, exploring the state-of-the-art Internet of Things (IoT) elements that are designed to be analogous to WSNs. It looks at advancements in IoT systems along with a two-way usage with wireless sensor networks that span the gap between the physical and virtual worlds, leading to a hyperconnected society where devices are not only used to exchange data but also are smart devices with more capabilities.
This book presents a study on current developments, trends, and latest usage of the trending technology in the areas of wireless sensor networks (WSNs). The impending research work on some WSNs applications, like improvements in the agricultural system, security systems, and university monitoring systems, etc., shows the usefulness of sensor networks. These along with theoretical analysis and factors influencing smart sensing are highlighted in this book. The state-of-the-art Internet of Things (IoT) designed and established as analogous to WSNs is also explored in detail.
IoT doesn’t assume a specific communication technology, but clubbing it with wireless expertise makes it a major component useful in both engineering as well as businesses. It also makes a good research topic for young researchers. The collaborative usage with IoT is an addendum to WSN trends. This collaborative effort has resulted in the exponential development of mobile traffic in the last few years because an exceptionally large amount of data exists today, and this data is collected by the wireless network industry.
The chapters reveal how these technologies are used in smart homes, for intelligent sensor-based cognitive radio networks, for different techniques for data fusion, for the synthesis and fabrication of nanosensor devices for monitoring agricultural nutrient levels, and more. Furthermore, the fake user problems in WSNs are also investigated with a note on the current trends and the newer trends to come in near future.
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