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"This book discusses the challenges in the convergence of technologies as the Internet of Things (IoT) evolves. These include sensing, computing, information processing, networking, and controlling intelligent technologies. The contributors first provide a survey of various assessment and evaluation approaches available for successful convergence. They then go on to cover several operational ideas to apply. The contributors then discuss the challenges involved bridging gaps in computation and the communication process, hidden networks, intelligent decision making, human-to-machine perception and large-scale IoT environments. The contributors aim to provide the reader an overview of trends in IoT in terms of performability and traffic modeling and efforts that can be spent in assessing the graceful degradation in IoT paradigms.- Provides a survey of IoT assessment and evaluation approaches;- Covers new and innovative operational ideas that apply to the IoT industry and the industries it affects;- Includes chapters from researchers and industry leaders in IoT from around the world."

"This book is a collection of papers from international experts presented at International Conference on NextGen Electronic Technologies (ICNETS2-2016). ICNETS2 encompassed six symposia covering all aspects of electronics and communications domains, including relevant nano/micro materials and devices. Presenting recent research on wireless communication networks and Internet of Things, the book will prove useful to researchers, professionals and students working in the core areas of electronics and their applications, especially in signal processing, embedded systems and networking."

"This book provides an overview of the most recent developments in Internet of Things (IoT) security and data protection. It presents the results of several international research projects addressing this topic from complementary angles. It starts by analyzing the main privacy and security threats on IoT, as well as the evolution of data protection norms, such as the European General Data Protection Regulation (GDPR), and their impact on IoT. Through a comprehensive and systematic approach, the contributors present new perspectives on IoT & Cloud Computing security requirements. They discuss the most recent approach to support trusted IoT, including new models of privacy risk assessment, labeling and certification, and contractual tools (such as Privacy PACT). Practical implementations, such as in the European Large Scale Pilots on IoT for Smart Cities (Synchronicity), are presented, explaining how they address security, privacy and data protection. Finally, innovative models to secure IoT systems are presented for the network and end-nodes security, including network threats analysis.Shares results from several international research projects on IoT, cybersecurity, and privacy;Combines complementary expertise from top experts in IoT, security, and data protection;Provides a comprehensive view on how to protect IoT deployments and make them comply with the GDPR."

"Kemudahan manusia dalam mengakses informasi kapan dan dimana saja adalah tujuan diciptakannya Internet of Things (IoT). Banyak teknologi yang dapat menyokong implementasi IoT berjalan mulus, salah satunya Low Power Wide Area Network (LPWAN). Bertujuan mengirim informasi dalam jarak jauh dan konsumsi energi rendah, LPWAN didukung oleh teknologi physical layer sebagai platform modulasi radio untuk Internet of Things contohnya seperti LoRa. Berbagai data yang diterima oleh sensor node, maka diperlukan sebuah protokol penjadwalan sebelum melakukan transmisi ke base station atau sink node. Dalam riset ini, model penjadwalan yang akan digunakan adalah First Come First Served pada Cluster Head (CH-FCFS) dengan desain topologi jaringan star of stars. Model diimplementasikan ke dalam dua jaringan dengan 25 sensor nodes dan 1 cluster head; 50 sensor nodes dan 2 cluster head. Pengujian sistem model ini menggunakan simulator CupCarbon U-One 4.2. Hasil analisa jaringan pertama dan kedua memiliki keberhasilan pengiriman data sebesar 100% hingga ke sink node. Konsumsi energi 5 tahun untuk sensor node, cluster head S100, dan cluster head S200 adalah 22.732,2 Joule, 1.121.280 Joule, dan 1.121.280 Joule. Konsumsi energi 10 tahun untuk sensor node, cluster head S100, dan cluster head S200 adalah 45.464,4 Joule, 2.242.560 Joule, dan 2.242.560 Joule. Pengaruh dari penggunaan model scheduling dan penyesuaian penggunaan sensor berbasis baterai dijelaskan lebih rinci sesuai komunikasi model konsumsi energi pada simulasi.

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The ease with which humans access information anytime and anywhere is the purpose of the creation of the Internet of Things (IoT). Many technologies can support the implementation of IoT running smoothly, one of which is the Low Power Wide Area Network (LPWAN). Aiming at sending information over long distances and low energy consumption, LPWAN is supported by physical layer technology as a radio modulation platform for the Internet of Things for example like LoRa. Various data received by the sensor node, it requires a scheduling protocol before transmitting to the base station or sink node. In this research, the scheduling model that will be used is First Come First Served on Cluster Head (CH-FCFS) with a star of stars network topology design. The model is implemented in two networks with 25 sensor nodes and 1 cluster head; 50 sensor nodes and 2 cluster heads. The system testing of this model uses the CupCarbon U-One 4.2 simulator. The results of the first and second network analysis have the success of sending data by 100% to the sink node. The 5 year energy consumption for sensor nodes, S100 cluster head, and S200 cluster head are 22,732.2 Joules, 1,121,280 Joules, and 1,121,280 Joules. The 10 year energy consumption for sensor nodes, S100 cluster head, and S200 cluster head is 45,464.4 Joules, 2,242,560 Joules, and 2,242,560 Joules. The impact of the use of a scheduling model and adjustments to the use of battery based sensors are explained in more detail according to the communication model of energy consumption in simulations."

"Peningkatan trafik mobile data di Indonesia diprediksi oleh CISCO akan meningkat sebesar 12 kali lipat pada tahun 2020. Trafik tersebut diprediksi akan terus bertambah dengan meluasnya pemanfaatan teknologi IoT secara masif sebagai salah satu tren teknologi masa depan. Pemanfaatan teknologi IoT di Indonesia digunakan untuk mendukung program smart city di berbagai kota dan diperkirakan akan berimplikasi pada kenaikan trafik. Sementara itu, Indonesia diperkirakan akan kekurangan spektrum mobile broadband sebesar 500 MHz pada tahun 2020. Implementasi teknologi IoT untuk mendukung smart city diperkirakan akan memperbesar defisiensi spektrum tersebut. Hingga saat ini belum ada penelitian yang menghitung prediksi jumlah kebutuhan spektrum untuk layanan IoT di Indonesia. Forum bersama industri elektronik di India IESA TIE IoT Forum telah melakukan prediksi jumlah kebutuhan spektrum untuk layanan IoT. Dalam rangka mendukung program pengembangan smart city di India, IESA TIE IoT Forum merekomendasikan alokasi spektrum tambahan sebesar 10 ndash; 20 MHz spesifik untuk layanan IoT. Penelitian ini bertujuan untuk menghitung prediksi kebutuhan spektrum untuk layanan IoT dengan studi kasus Jakarta Smart City menggunakan metode perhitungan yang digunakan oleh IESA TIE IoT Forum. Hasil penelitian ini adalah kebutuhan spektrum untuk layanan IoT meningkat 17,27 dalam kurun waktu 2016-2021 dengan kebutuhan spektrum sebesar 18,67 MHz untuk skenario 1 dan 19,91 MHz untuk skenario 2. Kebutuhan spektrum tersebut dapat diantisipasi oleh regulator dengan memperhatikan ketersediaan alternatif spektrum saat ini, peluang industri dan inovasi IoT dalam negeri serta kebutuhan regulasi terkait IoT seperti standarisasi perangkat, harmonisasi spektrum dan sistem keamanan data.

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In Indonesia, mobile data traffic is predicted by CISCO will increase significantly by 12 times in the period of 2015 ndash 2020. The traffic is predicted will grow continuously by widespread utilization of IoT technologies on a massive scale as one of the future technology. IoT is used to support the smart city program in various cities in Indonesia and expected to have implications in traffic growth. Meanwhile, Indonesia is expected to experience deficiency of 500 MHz spectrum for mobile broadband services in 2020. IoT implementation to support smart city is predicted to enlarge spectrum deficiency. There has been no study which calculates spectrum needs for IoT services in Indonesia. Electronics industrial collaboration forum in India IESA TIE IOT Forum has made predictions of spectrum need for IoT services. In order to support smart city in India, IESA TIE IoT forum proposed to allocate additional spectrum of 10 ndash 20 MHz specific for IoT services. This research aims to calculate spectrum need for IoT services in case of Jakarta Smart City. The results are spectrum need for IoT services increase by 17.27 in the period of 2016 ndash 2021 with the spectrum needs of 18.67 MHz for scenarios 1 and 19.91 MHz for scenarios 2. The spectrum needs should be anticipated by regulator to consider the availability alternative spectrum, opportunity and innovation IoT industry in Indonesia and the needs of regulations related to IoT for instance standardization of devices, spectrum harmonization and data security systems."

"This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etc."

"This textbook presents an end-to-end Internet of Things (IoT) architecture that comprises of devices, network, compute, storage, platform, applications along with management and security components with focus on the missing functionality in the current state of the art. As with the first edition, it is organized into six main parts: an IoT reference model; Fog computing and the drivers; IoT management and applications ranging from smart homes to manufacturing and energy conservation solutions; Smart Services in IoT; IoT standards; and case studies. The textbook edition features a new chapter entitled The Blockchain in IoT, updates based on latest standards and technologies, and new slide ware for professors. It features a full suite of classroom material for easy adoption."

"Internet of Things adalah seperangkat aplikasi yang melengkapi perangkat dan lokasi untuk menghasilkan informasi dan menghubungkannya untuk analisis data. IoT telah merevolusi cara industri bertindak. Ini memiliki peluang baru yang cukup besar untuk menghasilkan solusi menarik tentang bagaimana perusahaan dapat mengumpulkan dan menganalisis data berbeda yang mungkin mengubah bisnis secara real-time dan lintas waktu. IoT memiliki implementasi yang luas dalam bisnis, termasuk di industri semen, khususnya pada sistem manajemen paletnya. Sistem manajemen palet yang baik diperlukan untuk memastikan kualitas palet yang baik yang digunakan dalam mengangkut produk. Di perusahaan semen, palet diangkut ke gudang dan ritel menggunakan truk. Manual standar untuk menangani palet diperlukan untuk memastikan bahwa palet tidak pecah atau hilang karena penanganan yang buruk. Penelitian ini bertujuan untuk mengkaji alternatif Internet of Things terbaik yang dapat digunakan untuk mempermudah sistem pengelolaan pallet di sebuah perusahaan semen. Dengan menggunakan Best Worst Method (BWM), prioritas kriteria diputuskan. Alternatif terbaik dari teknologi auto-identification dipilih menggunakan Additive Ratio Assessment (ARAS). Hasil dari penelitian ini menunjukkan bahwa RFID merupakan alternatif terbaik dengan nilai utilitas dari RFID, yaitu nilai utilitas 0,9854 indeks kinerja 0,3452.

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Internet of Things is a set of applications that equip devices and locations to generate information and correlate it for data analysis. IoT has revolutionized how industries to act. It has a considerably new opportunity to generate compelling solutions exploring how a company can collect and analyze disparate data that might transform the business in real-time and across time. IoT has a broad implementation in the business, including in the cement industry, particularly on its pallet management system. A good pallet management system is required to ensure the good quality of pallet used in transporting products. In a cement company, pallets are transported to warehouses and retails using trucks. A standardized manual to handle pallets is required to make sure that it does not break or lost due to poor handling. This study’s main objective is to assess the best alternative of IoT that used to ease pallet management system in a cement company. Using Best Worst Method (BWM), the priority of criteria was decided. The best alternative of auto-identification technology was selected using Additive Ratio Assessment (ARAS). Result of this research shows that RFID is the best alternative with utility score of 0,9854 performance rating index of 0,3452."

"Dimasa Mendatang, diprediksi akan banyak perangkat yang terhubung pada jaringan komunikasi, selain itu jaringan komunikasi masa depan juga membutuhkan nilai packet loss rate (PLR) yang rendah serta sistem pemrosesan yang sangat cepat. Pada penelitian ini diusulkan sebuah skema akses jamak atau multiple access yang mampu melayani lalulintas komunikasi dengan jumlah perangkat yang sangat banyak  serta nilai PLR yang kecil. Skema akses jamak berupa coded random access (CRA) dipilih dalam penelitian ini karena mampu melayani lalulintas komunikasi dengan jumlah perangkat yang terhubung sangat banyak (throughput yang tinggi. Untuk mendapatkan PLR yang rendah pada CRA, digunakan degree distribusi  yang menghasilkan stopping set sedikit. Sehingga pada penelitian ini dilakukan optimasi pada CRA dengan mencari degree distribusi yang menghasilkan stopping set paling rendah pada throughput yang masih dapat diterima. Optimasi dilakukan dengan menggunakan theory probability stopping set dan simulasi komputer. Untuk memvalidasi ketercapaian throughput, pada penelitian ini dilakukan evaluasi dengan menggunakan metode Extrinsic Information transfer(EXIT) chart analisis. Dalam penelitian ini juga dilakukan validasi antara theory probability stopping set dengan hasil yang didapat dari simulasi komputer. Dari hasil validasi tersebut menunjukan theory probability stopping set sesuai dengan hasil dari simulasi komputer. Sehingga penggunaan theory probability stopping set cukup valid untuk dipakai pada optimasi degree distribusi dengan meminimalkan stopping set. Dari serangkaian penelitian yang dilakukan, didapatkan CRA dengan degree distribusi yang mempunyai stopping set paling minimal sebanyak 48 kali dalam 10.000 sample yang ditandai dengan PLR yang cukup rendah yaitu 10^-3 pada G=0.65 packet per slot (yang artinya 1 paket rusak dalam 1000 sampel dengan mode pengiriman 65% aktif dari seluruh user dan throughput yang masih dapat diterima yaitu G=0.7 packet per slot. Usulan CRA dengan degree distribution optimal dengan minimal stopping set hasil dari penelitian ini diharapkan dapat diterapkan dan bermanfaat pada komunikasi aplikasi krusial dengan nilai kegagalan mendekati nol.

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The Future networks predicted with massive number of devices connected to communication networks, beside that the future communication network also requires a low value of packet loss rate (PLR) and a very fast processing system. In this paper, a multiple access scheme is proposed which is capable of serving communication traffic with a very large number of devices and a small PLR value. Multiple access scheme such as coded random access (CRA) were in this paper, because of ability of serving communication traffic with a large number of connected devices(or we can call high throughput needed). To obtain a low PLR in CRA, we use a degree distribution which resulted in a small number of stopping set. This paper was optimized on CRA by looking for a degree distribution that produced the lowest number of stopping set at acceptable throughput. Optimization was done by using probability of stopping set theory and computer simulation. To validate the achievement of throughput, this paper was evaluated using the Extrinsic Information Transfer (EXIT) chart analysis. In this paper, we validate between probability stopping set theory and the results obtained from computer simulations, the result shows that the probability stopping set theory is in accordance with the result of computer simulations. Therefore the use of probability stopping set theory is valid to be used in degree distribution optimization by minimizing stopping sets. In this paper, it was obtained CRA with a degree distribution which has a stopping set of at least 48 times in 10000 samples which is marked by PLR which is quite low at 10-3 at offered traffic 0.65 packet per slot (which means 1 packet is damaged in 1000 samples with delivery mode 65% active of all users) and acceptable throughput in 0.7 packet per slot. The proposed CRA with optimal degree distribution having minimum stopping set results from this paper is expected to be applicable and useful in crucial application communication with asymptotically zero failure."

"In summary, this text provides a very compelling study of the IoT space and achieves a very good balance between engineering/technology focus and business context. As such, it is highly recommended for anyone interested in this rapidly expanding field and will have broad appeal to a wide cross section of readers, i.e., including engineering professionals, business analysts, university students, and professors."