Preface

Internet of Things and big data are two sides of the same coin. The advancement of Information Technology (IT) has increased daily leading to connecting the physical objects/devices to the Internet with the ability to identify themselves to other devices. This refers to the Internet of Things (IoT), which also may include other wireless technologies, sensor technologies, or QR codes resulting in massive datasets. This generated big data requires software computational intelligence techniques for data analysis and for keeping, retrieving, storing, and sending the information using a certain type of technology, such as computer, mobile phones, computer networks, and more. Thus, big data holds massive information generated by the IoT technology with the use of IT, which serves a wide range of applications in several domains. The use of big data analytics has grown tremendously in the past few years directing to next generation of intelligence for big data analytics and smart systems. At the same time, the Internet of Things (IoT) has entered the public consciousness, sparking people’s imaginations on what a fully connected world can offer. Separately the IoT and big data trends give plenty of reasons for excitement, and combining the two only multiplies the anticipation. The world is running on data now, and pretty soon, the world will become fully immersed in the IoT. This book involves 21 chapters, including an exhaustive introduction about the Internet-of-Things-based wireless body area network in health care with a brief overview of the IoT functionality and its connotation with the wireless and sensing techniques to implement the required healthcare applications. This is followed by another chapter that discussed the association between wireless sensor networks and the distributed robotics based on mobile sensor networks with reported applications of robotic sensor networks. Afterward, big data analytics was discussed in detail through four chapters. These chapters addressed an in-depth overview of the several commercial and open source tools being used for analyzing big data as well as the key roles of big data in a manufacturing industry, predominantly in the IoT environment. Furthermore, the big data Learning Management System (LMS) has been analyzed for student managing system, knowledge and information, documents, report, and administration purpose. Since business intelligence is considered one of the significant aspects, a chapter that examined open source applications, such as