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Mobile Wireless and Sensor Networks A Clustering Algorithm for Energy Efficiency and Safety

Mobile Wireless and Sensor Networks A Clustering Algorithm for Energy Efficiency and Safety

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. | Mobile Wireless and Sensor Networks A Clustering Algorithm for Energy Efficiency and Safety

GBP 82.99
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Intelligent Sensor Node-Based Systems Applications in Engineering and Science

Intelligent Sensor Node-Based Systems Applications in Engineering and Science

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 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 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. 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. | Intelligent Sensor Node-Based Systems Applications in Engineering and Science

GBP 139.00
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Internet of Things for Agriculture 4.0 Impact and Challenges

Internet of Things for Agriculture 4.0 Impact and Challenges

This new book provides an insightful look at the varied and exciting uses and applications of Wi-Fi and the Internet of Things in agriculture. With internet-enabled communications becoming more widely available farms and agricultural establishments can take advantage of these new technologies for a wide range of farm operations such as crop management farm vehicle tracking livestock monitoring storage monitoring and more. The collected data from these devices can be stored in the cloud system or server and accessed by the farmers via the internet or mobile phones. This book shows the many benefits to farmers from applying IoT including better utilizing information for monitoring crops optimizing water use planning effective fertilization strategies and saving time and reducing the operation expenses. Topics include using IoT for vertical farming IoT-based smart irrigation system landslide susceptibility assessment automated aeroponics systems crop survival analysis and more. The volume also considers the challenges of IoT in agriculture such as the requirements of applications of wireless sensor networks the threat of attacks and the detection of vulnerabilities in wireless sensor networks and more. Internet of Things for Agriculture 4. 0: Impact and Challenges provides a better understanding of the time- and resourcing-saving benefits of wireless sensors and remote monitoring devices in agriculture. The volume will be useful for those involved in agricultural operations as well as scientists and researchers and faculty and students in agriculture and computer and information science engineering. | Internet of Things for Agriculture 4. 0 Impact and Challenges

GBP 131.00
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Bioelectronics and Medical Devices Applications and Technology

Bioelectronics and Medical Devices Applications and Technology

This new volume provides an abundance of information on new biomedical applications being used today. The book covers a wide range of concepts and technologies discussing such modern technological methods as the Internet of Things e-pills biomedical sensors support vector machines wireless devices image and signal processing in e-health and machine learning. It also includes a discussion on software implementation for the devices used in biomedical applications. The different types of antennas including antennas using RF energy harvesting for biomedical applications are covered as well. | Bioelectronics and Medical Devices Applications and Technology

GBP 139.00
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Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques such as machine learning Internet of Things (IoT) and big data accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning digitized medical data acquisition wireless medical data communication and computing infrastructure AI approaches helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

GBP 82.99
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