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Internet of Things and big data analytics toward next-generation intelligence
Dey N., Hassanien A., Bhatt C., Ashour A., Satapathy S., Springer International Publishing, New York, NY, 2017. 549 pp. Type: Book (978-3-319604-34-3)
Date Reviewed: Feb 26 2018

The Internet of Things (IoT) began as a technological concept to bring computing power to inanimate objects, so that these--so-called dumb--objects could become smart objects instead, and so they could communicate with us and we with them over their own separate network, appropriately referred to as the radio-frequency identification (RFID) network, through the use of smart tags and RFID scanners or readers. However, its development over the years has proliferated the Internet that we all know and use on a daily basis, connecting these objects to other objects and producing massive amounts of data stored in various forms of databases requiring data warehousing experts and database analysts to sift through it in order to make sense of it in a practical way. The decision to share IoT data on the Internet, rather than separately in its own network, is proving to pay off, as we are now able to both monitor and control all sorts of smart devices in areas including the clothing industry, smart homes, smart appliances, smart cars, the medical field, and the utility industries, just to name a few. Technologists have estimated that there are about 4000 exabytes of data residing on the Internet apart from the expanding IoT data that comprises the collective knowledge of our mobile society. To begin to understand the amount of data this 4000 exabytes represents, if one stacked books on top of one another, this amount of data would stretch from planet Earth to Pluto and back roughly 80 times. It is estimated that if the IoT continues to grow at its present rate, this 4000 exabytes of cumulative knowledge data will be just a drop in a vast ocean of total data residing in the cloud within the next decade.

Internet of Things and big data analytics toward next-generation intelligence is 525 pages long consisting of extensive research writing, strictly targeting a scholarly audience. This work comprises some 21 chapters and 25 papers, including an exhaustive introduction of the IoT and its wireless-based application primarily in the medical field. It is structured into four parts: (1) “Internet of Things-based Sensor Networks” (two papers); (2) “Big Data Analytics” (four papers); (3) “Internet of Things-based Smart Life” (ten papers); and (4) “Internet of Things Security and Selected Topics” (five papers).

The main purpose of this book is to highlight the overall importance that big data plays as it relates to the IoT in shaping our modern mobile society in several related areas and applications in smart living based on intelligence techniques. The majority of the book pertains to the IoT as it relates to smart life, but there are at least five papers relating to the societal concerns of security and its related topics.

While this book is an extremely thorough scholarly--rather than technical--dissection of what IoT is, how it is shaping the world in which we live today, and how we will live in the future, I found it extremely difficult to read, especially in the first two or three papers that were presented, primarily as a result of many errors in the English language concerning spelling, grammar, verb-noun matching, and other areas. After attempting to read just the first couple of papers, I found myself exhausted having to continually correct the grammar in my mind as I was reading, and was forced to put the book down for a time to simply collect my thoughts. It was a very disappointing book to read.

In conclusion, as a result of the difficulty that I found in reading this book because of the grammatical errors I detected early on, I would not recommend it to the general public as I believe it would be disappointing to most readers as it currently stands. If the errors that I discovered that made the book difficult for me to follow and understand were contained in the original papers and were not edited before inclusion in the book, then I believe this was a grave mistake. Editing the papers would have improved the final product tremendously.

Reviewer:  Daniel Calloway Review #: CR145884 (1805-0206)
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Content Analysis And Indexing (H.3.1 )
 
 
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