Internet of things and big data analytics toward next generation intelligence

Studies in Big Data 30 Nilanjan Dey Aboul Ella Hassanien Chintan Bhatt Amira S Ashour Suresh Chandra Satapathy Editors Internet of Things and Big Data Analytics Toward Next-Generation Intelligence www.ebook3000.com Studies in Big Data Volume 30 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: kacprzyk@ibspan.waw.pl About this Series The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence incl neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output More information about this series at http://www.springer.com/series/11970 www.ebook3000.com Nilanjan Dey Aboul Ella Hassanien Chintan Bhatt Amira S Ashour Suresh Chandra Satapathy • • Editors Internet of Things and Big Data Analytics Toward Next-Generation Intelligence 123 Editors Nilanjan Dey Techno India College of Technology Kolkata, West Bengal India Suresh Chandra Satapathy Department of Computer Science and Engineering PVP Siddhartha Institute of Technology Vijayawada, Andhra Pradesh India Aboul Ella Hassanien Cairo University Cairo Egypt Chintan Bhatt Charotar University of Science and Technology Changa, Gujarat India ISSN 2197-6503 Studies in Big Data ISBN 978-3-319-60434-3 DOI 10.1007/978-3-319-60435-0 Amira S Ashour Tanta University Tanta Egypt ISSN 2197-6511 (electronic) ISBN 978-3-319-60435-0 (eBook) Library of Congress Control Number: 2017943116 © Springer International Publishing AG 2018 This work is subject to copyright All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed The use of general descriptive names, registered names, trademarks, service marks, etc in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made The publisher re-mains neutral with regard to jurisdictional claims in published maps and institutional affiliations Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland www.ebook3000.com 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 v vi Preface Pentaho and Jaspersoft, processing big data over six databases of diverse sizes is introduced Internet-of-Things-based smart life is an innovative research direction that attracts several authors; thus, 10 chapters are included to develop Industrial Internet of Things (IIoT) model using the devices which are already defined in open standard UPoS (Unified Point of Sale) devices in which they included all physical devices, such as sensors printer and scanner leading to advanced IIoT system In addition, smart manufacturing in the IoT era is introduced to visualize the impact of IoT methodologies, big data, and predictive analytics toward the ceramics production Another chapter is presented to introduce the home automation system using BASCOM including the components, flow of communication, implementation, and limitations, followed by another chapter that provided a prototype of IoT-based real-time smart street parking system for smart cities Afterward, three chapters are introduced related to smart irrigation and green cities, where data from the cloud is collected and irrigation-related graph report for future use for farmer can be made to take decision about which crop is to be sown Smart irrigation analysis as an IoT application is carried out for irrigation remote analysis, while the other chapter presented an analysis of the greening technologies’ processes in maintainable development, discovering the principles and roles of G-IoT in the progress of the society to improve the life quality, environment, and economic growth Then, cloud-based green IoT architecture is designed for smart cities This is followed by a survey chapter on the IoT toward smart cities and two chapters on big data analytics for smart cities and in Industrial IoT, respectively Moreover, this book contains another set of chapters that interested with IoT and other selected topics A proposed system for very high capacity and for secure medical image information embedding scheme to hide Electronic Patient Record imperceptibly of colored medical images as an IoT-driven healthcare setup is introduced including detailed experimentation that proved the efficiency of the proposed system, which is tested by attacks Thereafter, another practical technique for securing the IoT against side channel attacks is reported Three selected topics are then introduced to discuss the framework of temporal data stream mining by using incrementally optimized very fast decision forest, to address the problem classifying sentiments and develop the opinion system by combining theories of supervised learning and to introduce a comparative survey of Long-Term Evolution (LTE) technology with Wi-Max and TD-LTE with Wi-Max in 4G using Network Simulator (NS-2) in order to simulate the proposed structure This editing book is intended to present the state of the art in research on big data and IoT in several related areas and applications toward smart life based on intelligence techniques It introduces big data analysis approaches supported by the research efforts with highlighting the challenges as new opening for further research areas The main objective of this book is to prove the significant valuable role of the big data along with the IoT based on intelligence for smart life in several domains It embraces inclusive publications in the IoT and big data with security issues, challenges, and related selected topics Furthermore, this book discovers the technologies impact on home, street, and cities automation toward smart life www.ebook3000.com Preface vii In essence, this outstanding volume cannot be without the innovative contributions of the promising authors to whom we estimate and appreciate their efforts Furthermore, it is unbelievable to realize this quality without the impact of the respected referees who supported us during the revision and acceptance process of the submitted chapters Our gratitude is extended to them for their diligence in chapters reviewing Special estimation is directed to our publisher, Springer, for the infinite prompt support and guidance We hope this book introduces capable concepts and outstanding research results to support further development of IoT and big data for smart life toward next-generation intelligence Kolkata, India Cairo, Egypt Changa, India Tanta, Egypt Vijayawada, India Nilanjan Dey Aboul Ella Hassanien Chintan Bhatt Amira S Ashour Suresh Chandra Satapathy Contents Part I Internet of Things Based Sensor Networks Internet of Things Based Wireless Body Area Network in Healthcare G Elhayatmy, Nilanjan Dey and Amira S Ashour Mobile Sensor Networks and Robotics K.P Udagepola Part II 21 Big Data Analytics Big Data Analytics with Machine Learning Tools T.P Fowdur, Y Beeharry, V Hurbungs, V Bassoo and V Ramnarain-Seetohul Real Time Big Data Analytics to Derive Actionable Intelligence in Enterprise Applications Subramanian Sabitha Malli, Soundararajan Vijayalakshmi and Venkataraman Balaji 49 99 Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability 123 Heru Susanto, Ching Kang Chen and Mohammed Nabil Almunawar Performance Evaluation of Big Data and Business Intelligence Open Source Tools: Pentaho and Jaspersoft 147 Victor M Parra and Malka N Halgamuge Part III Internet of Things Based Smart Life IoT Gateway for Smart Devices 179 Nirali Shah, Chintan Bhatt and Divyesh Patel ix www.ebook3000.com x Contents Smart Manufacturing in the Internet of Things Era 199 Th Ochs and U Riemann Home Automation Using IoT 219 Nidhi Barodawala, Barkha Makwana, Yash Punjabi and Chintan Bhatt A Prototype of IoT-Based Real Time Smart Street Parking System for Smart Cities 243 Pradeep Tomar, Gurjit Kaur and Prabhjot Singh Smart Irrigation: Towards Next Generation Agriculture 265 A Rabadiya Kinjal, B Shivangi Patel and C Chintan Bhatt Greening the Future: Green Internet of Things (G-IoT) as a Key Technological Enabler of Sustainable Development 283 M Maksimovic Design of Cloud-Based Green IoT Architecture for Smart Cities 315 Gurjit Kaur, Pradeep Tomar and Prabhjot Singh Internet of Things Shaping Smart Cities: A Survey 335 Arsalan Shahid, Bilal Khalid, Shahtaj Shaukat, Hashim Ali and Muhammad Yasir Qadri Big Data Analytics for Smart Cities 359 V Bassoo, V Ramnarain-Seetohul, V Hurbungs, T.P Fowdur and Y Beeharry Bigdata Analytics in Industrial IoT 381 Bhumi Chauhan and Chintan Bhatt Part IV Internet of Things Security and Selected Topics High Capacity and Secure Electronic Patient Record (EPR) Embedding in Color Images for IoT Driven Healthcare Systems 409 Shabir A Parah, Javaid A Sheikh, Farhana Ahad and G.M Bhat Practical Techniques for Securing the Internet of Things (IoT) Against Side Channel Attacks 439 Hippolyte Djonon Tsague and Bheki Twala Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest 483 Simon Fong, Wei Song, Raymond Wong, Chintan Bhatt and Dmitry Korzun Sentiment Analysis and Mining of Opinions 503 Surbhi Bhatia, Manisha Sharma and Komal Kumar Bhatia A Modified Hybrid Structure for Next Generation … 535 Fig Radio access network solution from GSM to LTE surplus of 100 Mbps It is responsible for the integration of the entire wireless network The use of high bandwidth offers a perfect mode for data transport Orthogonal frequency division multiple access (OFDMA) and Orthogonal frequency division multiplexing (OFDM) adequately allots network resources to wide number of users and offer them with superior audio and video Also, 4G have superior low latency data transmission and security It is a packet-switched network in which digital network elements are implemented It supports service portability and global mobility 3.5.2 Standards for LTE LTE Advanced is a standard mobile communication that was officially recognized as a 4G system candidate to the ITU-T LTE Advanced is accepted as a standard by the 3rd Generation Partnership Project (3GPP) as a primary enhancement to the LTE standard 3.5.3 Features of LTE LTE supports various features which deed the instant radio situations in a constructive way A power control mechanism is used in the uplink, to control interference and to provide high average signal quality www.ebook3000.com 536 3.5.4 P Yadav et al LTE Protocols The LTE protocols, including radio link control (RLC), Packet Data Convergence Protocol (PDCP) protocols, physical layer (PHY) protocols, and medium access control (MAC) are included Figure demonstrated a brief idea of the protocol stacks graphically The control plane stack consists of radio resource control (RRC) protocols The primary works in each layer are computed up below NAS (Non-Access Stratum): It establishes a connection between the user interface and the main network and governs sessions between them Validation and registration of processes is also performed Also, it has the capability of enabling/disabling Bearer context and position recording management RRC (Radio Resource Control): All the information related to the broadcasting system of the NAS and Access Layer (AS) is provided by RRC It is capable of establishing, releasing and maintaining the RRC connection It also look after security functions, which primarily include the mobility functions, key management, QoS management functions, and Direct transfer of NAS messages between NAS and UE PDCP (Packet Data Convergence Protocol): The essential job of PDC is compression of header; sequential retransmission and transmission of PDCP Session Data Units (SDUs) for acknowledgment mode radio carriers at the time of transfer It also caters for duplicate detection, encrypting data and integrity protection Fig LTE protocols stack A Modified Hybrid Structure for Next Generation … 537 RLC (Radio Link Control): Error amendment by automatic repetition demand (ARQ) and segmentation in consistent with the proportions of the re-selection and transport block if retransmission is required is provided by RLC The amalgamation of SDU for the alike Radio bearer, retrieval, protocol error identification and delivery in sequence is also executed by this MAC (Media Access Control): It executes de-multiplexing and multiplexing of RLC packets (PDUs) It also does information planning, developing report of HARQ hybrid error correction, hierarchy local chains and padding Proposed Methodology 4.1 3G (Third Generation) The 3G refers to wireless mobile telecommunications technology generation It is based on the fixed set of standards defined for mobile services and mobile telecommunication usage services, which are in accordance with the International Telecommunication Union’s (IMT-2000) International Telecommunications 2000 specifications The 3G has various applications in day to day life such as wireless voice and video calling, Internet access to mobile as well as fixed wireless equipment and mobile Television It offers a data transfer rate of 200 kBit/s or above The enhanced versions of 3G, generally indicated to as 3.5G and 3.75G, also offer multi-Mbit/s mobile broadband access to mobile modems in laptops and smartphones Thus, the 3G technology is applicable to wireless voice and video calls, mobile as well fixed wireless access to the internet, and mobile TV technologies 4.2 4G (Fourth Generation) The fourth generation of wireless mobile telecommunications technology, mainly indicated to as 4G is the enhanced replacement of 3G technology A particular set of standards have been defined by ITU in IMT Advanced for 4G technology Some extra potential and current applications includes modified access to high-definition mobile TV, gaming services, mobile web, IP telephony, videoconferencing and 3D television A 4G candidate system called the Long Term Evolution (LTE) has been commercially implemented in Oslo, Norway, and Stockholm, Sweden since 2009 A long debate took place to decide whether LTE should be considered as 4G or not www.ebook3000.com 538 P Yadav et al Fig Shows the proposed structure 4.3 TD-LTE In FDD, a carrier frequency is used both for the uplink of data and the downlink of data On the other hand, a single carrier frequency in utilized in TD-LTE for both the actions: downlink and uplink In TD-LTE, the radio frame is divided into sub-frames, which are then allocated to the uplink or downlink depending on the immediate requirements of the users This approach of random allocation of sub-frames is best suited to the editable data profile of today’s users, who for the most part download more than they download, but rarely transmit data like photos and videos The spectrum defined for mobile communications is valuable and the concept of usage of single frequency in TD-LTE rather than a spectrum pair is advantageous for any of the operator where the available spectrum is limited or where an operator has access to only one unpaired frequency as shown in Fig The proposed method or system is the combination of Wi-Max and LTE system For the improvement of bandwidth, data rate and frequency use this architecture The complete system of 4G communication system is dividing into the three parts The transmitter end algorithm is reported as follows A Modified Hybrid Structure for Next Generation … 539 Algorithm: Transmitter end Input Number of mobile nodes: Mobile sensor node = Nn Sender node = Sn representing a sub part of Nn Receiver Node = Dn representing a sub part of Nn Time of Simulation = t0/t0=100seconds Routing protocol for wireless communication = AODV; MAC Standard= 802.16 Mobile nodes radio range = RR, where the radio range for WiMAX =1000 meters same as consider for LTE RREQ_Pks_Broadcast (Sn, Dn, RR) { If ((RR0)) { Compute route { routing_table-> insert (routing_table -> routing_table _nexthop); // send RREQ to Next_hop routing_table 1->insert (routing_table1 -> routing_table); // send RREQ to destination If (Dn = = Available) { Send ACK with routing_table1; Data_packet_send (s_no, next_neighbour, type) } Else { Destination (Dn) is not Exist; } } Else { Dn un-reachable; } } End This algorithm shows the direct wired network It is implemented for the data rate improvisation with the help of OFDM In wired network the direct link is available communication of wired and wireless on the basis of 3G and 4G The total bandwidth feasible for frequency in wired network in Frequency division multiplexing (FDM) methodology maximum of 48 kHz The OFDM multipath interface utilized by WiMAX and LTE, where a signals from a Sender travels to a detector www.ebook3000.com 540 P Yadav et al through two or more than two paths and, under the correct condition frequency of GHz is used as compare to wired network If (Frequency < = 48 Khz && data rate