Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems

The new and disruptive Internet of Things (IoT)-based technologies being used in smart homes have significantly bounded and dispersed communication components. To examine these technologies and provide researchers with a clear vision toward this area, we must be aware of the utilized approaches and the existing limitations in this line of research. To this end, an extensive search was conducted for articles dealing with (a) smart homes, (b) IoT, and (c) related applications were comprehensively reviewed and a coherent taxonomy for these articles was established. ScienceDirect, IEEE Xplore, and Web of Science databases were checked for articles on IoT-based smart home technologies. The retrieved articles were then filtered based on specified criteria “Communication components aspects”, and 82 articles were eventually selected and classified into four categories. The first category included articles that representing internet devices in a framework or model that follows the requirements of the stage in which any system is developed, the second category included analytical studies that monitor the possible changes in the variables used in a specific case study, the third category included evaluation, comparative studies, and assessing their worth or merit, and the fourth category included reviews and surveys a review and survey of the communication components of IoT-based smart home technologies. The motivation for using IoT-based technologies in smart homes, the issues related to application obstruction, and the development and utilization of smart homes are then examined based on the findings from the literature. With the exception of the 82 articles reviewed earlier, the telecommunication standards and concepts of this research were covering IoT solutions, communication protocols, IoT stack protocol, and quality of service for IoT based smart home technologies.

A survey on communication components for IoT-based technologies in smart homes

Internet of things (IoT) has been a noteworthy zone of research for empowering interconnection and joining the physical world through the Internet. At the beginning, it was used for single things but later advancements in different computing devices resulted in a new terminology called the internet of computing (IoC). In this paper, we review the latest progresses on IoT with IoC from a class review of published articles from 2009 to 2017. The review is classified alongside with (1) identification of users who are already in existence, (2) devices connected via various communication modes, (3) deterministic communication in IoT. The reviewed approaches are named as empirical, computing, innovative application and implementation approaches. The review shows that data stored in the cloud need to be mapped with geographic information system in order to fit with IoT and IoC. For IoT versus traditional communication approaches, it is found that reliable connection is one of the most emerging issues nowadays. It has been concluded that for the social consensus, IoC and IoT cooperating together are truly beneficial for upcoming years rather than just devices equipped with many sensor technologies. We hope to draw attention to this new topic with trends in the forthcoming era.

Collaborative handshaking approaches between internet of computing and internet of things towards a smart world: a review from 2009–2017

The emergence of Internet of Things (IoT) is empowered by the availability of the high volume of smart sensors, Radio Frequency Identification, a suitable communication technologies and protocols. In the near future, the Internet will be full of heterogeneous connected devices. In recent years, the IoT has drawn significant attention as it can solve difficult problems. However, the heterogeneity of devices and the large scale networks expose the IoT to many challenges that must be addressed; otherwise, the systems performance will deteriorate. As an attempt to identify these challenges, this paper comprehensibly cites the main IoT concepts, the serious IoT challenges and the quality of services presented in the recent literature. It also investigates the corresponding main research directions and the proposed solutions. This paper can increase the knowledge of the reader since it is the first IoT survey that presents load balancing algorithms utilized in solving the extreme data storage challenge.

Challenges and research directions for Internet of Things

The Internet of Things (IoT), with its smartness and intelligence, is gradually changing human life by allowing everyday objects to be connected to the Internet. With the prevalence of the IoT, wireless sensor networks (WSNs) are attracting worldwide attention, because they cover a wide range of IoT applications. The sensors collect data from the physical world and communicate with each other through wireless links. Ensuring the security and privacy of WSNs’ communication is challenging. Recently, a secure authentication and key management scheme was proposed to secure data transmission in WSNs. In this paper, we show that this scheme has various security flaws, such as replay attack, denial of service attack, impersonation attack, and lack of mutual authentication and session key agreement. Then, we propose an enhanced scheme to overcome the identified security weaknesses. The security of the enhanced scheme is formally verified using the Burrows-Abadi-Needham logic and the Automated Validation of Internet Security Protocols and Applications tool. Our proposed scheme is more secure, efficient, and suitable for WSN-based IoT applications than recent related methods.

Enhanced Authentication and Key Management Scheme for Securing Data Transmission in the Internet of Things

On the Internet of the future, billions of physical objects will collect and exchange data that will be stored in the Cloud Computing. A bad storage structure of big data has a negative influence on the latency time during the client's requests. To solve this problem, we have proposed an Infrastructure as a Service (IaaS) for the input and the output of different files on servers' clusters. We have proposed a specialization based architecture and used a multi-agents system paradigm. Some proposed agents collaborate to realize the load balancing, while others work in a parallel way to achieve their tasks rapidly and minimize the latency time. We implemented our solution using the JADE platform. We measured the execution time and the response time for each request type (input/output) and for the file type (text, image, and video). By comparing the execution time and the response time using our architecture and the classic one, our architecture has given better results.

Load balancing in the cloud using specialization

The Internet of Things (IoT) enables the smart devices to be inter-connected They share information with each other, with us and cloud based applications These devices combine the physical and digital world and produce a huge amount of data to enhance the productivity of life, industries and society by providing smart services IoT applications based on smart sensors open a new challenge which is the need of big data storage and huge computation power to provide real time data processing IoT-Cloud solves such a problem since it provides a huge storage capacity It also provides users on-demand access to resources at any place and any timeThis work is designed to support any system where a huge data is generated and processed in real time such as a traffic monitoring system, a health system for obesity management using sensory and social data We propose in this paper a new Infrastructure as a Service (IaaS) that provides an intelligent data storage to minimize the latency of any input and output data requests in a massive data storage and a huge number of servers To ensure a high critical data availability, our IaaS supplies Cloud servers with high monitoring, backup and recovery services in case of a server failure The proposed approach is termed Reliable lOad Balancing Using Specialization for ioT critical application (ROBUST) We compared the latency of an output file request and the complexity of searching the replicated version of a critical data of ROBUST to a recent IaaS architecture called Load Balancing in the Cloud Using Specialization (LBCS) and the classic one The results shows a remarkable enhancement in terms of the complexity and the latency of an output file request

A new Infrastructure as a Service for IoT-Cloud

Time slotted channel hopping (TSCH) mode proposed by the IEEE 802.15.4e-2015 standard enhances the reliability of low-power networks. TSCH supports the critical applications embedded in harsh environments with high-efficiency. Multi-channel hopping and time slotted access nature of this mode provides deterministic latency for applications and achieves a greater throughput capacity. The shared links nature of this mode risks the packets transmission to fail when the participating nodes are colliding nodes. Retransmitting the packets randomly risks it to fail several times, influencing the sensor energy and packet latency. To ensure collision avoidance in the presence of hidden nodes, we provide: time slotted channel hopping with correct collision avoidance backoff algorithm (TSCH-CCA) and Enhanced priority channel access backoff algorithm (E-PCA)) applied respectively to both normal packets and critical events packets. Our solution shows significant improvements in terms of latency, network congestion, network lifetime, critical event packets lifetime, and collision avoidance.

Time slotted channel hopping with collision avoidance

Sensors play a vital role in Internet of Things (IoT) monitoring applications. However, the harsh nature of the environment influences negatively on the sensors reliability. They may occasionally generate inaccurate measurements when they are exposed to high level of humidity, temperature, etc. Forwarding incorrect data to the base station may cause disastrous decision-making in critical applications. To address this problem, we proposed a new fault-tolerant mechanism based on Bayesian Networks that carefully solve such a problem. The mechanism is called Reliability of Captured Data (RCD); it enables sensors to both detect and recover faulty data. To show the performance of our algorithm, we compared this latter with another recent algorithm called Fault Detection Scheme (FDS) using Network Simulator 2 (NS2). The results showed that our strategy gives remarkable enhancements in terms of fault detection accuracy and fault alarm rate.

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Sarra Hammoudi

Papers

Challenges and research directions for Internet of Things

Load balancing in the cloud using specialization

A new Infrastructure as a Service for IoT-Cloud

Time slotted channel hopping with collision avoidance

Enhancement of IoT Applications Dependability Using Bayesian Networks