Recent advances in industrial wireless sensor networks towards efficient management in IoT

With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service

A Collaborative Mobile Crowdsensing System for Smart Cities

Nowadays words like Smart City, Internet of Things, Environmental Awareness surround us with the growing interest of Computer Science and Engineering communities. Services supporting these paradigms are definitely based on large amounts of sensed data, which, once obtained and gathered, need to be analyzed in order to build maps, infer patterns, extract useful information. Everything is done in order to achieve a better quality of life. Traditional sensing techniques, like Wired or Wireless Sensor Network, need an intensive usage of distributed sensors to acquire real-world conditions. We propose SenSquare, a Crowdsensing approach based on smartphones and a central coordination server for time-and-space homogeneous data collecting. SenSquare relies on technologies such as CoAP lightweight protocol, Geofencing and the Military Grid Reference System

Integration of a cellular Internet-of-Things transceiver into 6G test network and evaluation of its performance

Abstract. This thesis focuses on the integration and deployment of an aftermarket cellular IoT transceiver on a 6G/5G test network for the purpose of evaluating the feasibility of such device for monitoring the network performance. The cellular technology employed was NB-IoT paired with a Raspberry Pi device as the microprocessor that collects network telemetry and uses MQTT protocol to provide constant data feed. The system was first tested in a public cellular network through a local service provider and was successfully connected to the network, establishing TCP/IP connections, and allowing internet connectivity. To monitor network information and gathering basic telemetry data, a network monitoring utility was developed. It collected data such as network identifiers, module registration status, band/channel, signal strength and GPS position. This data was then published to a MQTT broker. The Adafruit IO platform served as the MQTT broker, providing an interface to visualize the collected data. Furthermore, the system was configured for and deployed on a 6G/5G test network successfully. The device functionality that was developed and tested in the public network remained intact, enabling continuous monitoring and analysis of network data. Through this study, valuable insights into the integration and deployment of cellular IoT transceivers into cellular networks that employ the latest IoT technology were gained. The findings highlight the feasibility of utilizing such a system for network monitoring and demonstrate the potential for IoT applications in cellular networks

Vehicle Talks to IoT for Better Driving Experience

Internet of vehicles (IoV), or vehicles to everything (V2X), is a relatively new concept for all vehicles connected to the internet. In this paper, we propose a solution to the problems of traffic congestion. Road traffic congestion has continued to be a major problem in many developed countries. This concept shows the place or location traffic congestion occurs at the time of rainfall, the position of the data based on GPS, and the sensors in the vehicle. The sensors in vehicles are used to collect information for the purpose of evaluating traffic congestion through cloud server via protocols such as CoAP and MQTT. At the beginning of the study, the authors introduced the problems and then proposed a solution

An architecture for the future business of things

A brave new world made of interconnected smart devices will soon revolutionize the world. The application of the Internet of Things vision will foster the creation of new businesses across different industrial sectors. Communication Service Providers need to set the pace of this change if they want to lead this transformation. They need to both leverage and evolve their architectures in order to support a flexible creation of innovative services over distributed networks, linking heterogeneous sensors and actuators. This paper presents the roles of the telecoms on the upcoming machine-to-machine markets and devises an advanced architecture able to withstand the demands of a new plethora of evermore clever and useful services

Exploring Data Security and Privacy Issues in Internet of Things Based on Five-Layer Architecture

Data Security and privacy is one of the serious issues in internet-based computing like cloud computing, mobile computing and Internet of Things (IoT). This security and privacy become manifolded in IoT because of diversified technologies and the interaction of Cyber Physical Systems (CPS) used in IoT. IoTs are being adapted in academics and in many organizations without fully protecting their assets and also without realizing that the traditional security solutions cannot be applied to IoT environment. This paper explores a comprehensive survey of IoT architectures, communication technologies and the security and privacy issues of them for a new researcher in IoT. This paper also suggests methods to thwart the security and privacy issues in the different layers of IoT architecture

Investigate Communication Protocols for IoT Application: Sensor Based Review

Internet of Things (IoT) is the hot topic in the field of technology nowadays. We want everything to be automated in our daily life. A huge revolution has been brought by IoT in the history of Internet. IoT enables smart devices to collect specific data and exchange data among them. Exchanging data between smart devices usually occurs through some IoT communication protocol. Efficiency of a protocol depends in so many things such as Data Packet Rate, Security, Bandwidth, Communication overhead, Support of Quality of Service (QoS) level. In this research, some IoT protocols will be compared based on their efficiency and the protocols can be MQTT (Message Queue Telemetry Transport), CoAP (Constrained Application Protocol), AMQP (Advanced Message Queuing Protocol). RuuviTag sensor (a wireless BLE device) will be connected to a mobile app though BLE (Bluetooth Low Ener-gy). Though these protocols data from RuuviTag sensor will be transmitted among clients. These protocols will be compared based on their implementation complexity, data accuracy, application scalability, security. These comparison metrices among protocols will reveal the efficient protocol. The findings of this research will facilitate to a better understanding of the efficiency elements that are involved with IoT communication protocol by illuminating their performance traits and potential drawbacks. This research aims to identify the most suitable protocol based on the specific requirements of the endeavor. By carefully evaluating and analyzing the needs of the investigation, this study will contribute to the selection of an ap-propriate communication protocol. This research analyses the gaps and barriers of selecting an efficient protocol, and in order to improve the process this research will propose potential directions for future research

Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)

In metropolitan areas, the exponential growth in quantity of vehicles has instigated gridlock, pollution, and delays in the transportation of freight. IoT is the modern revolution which pushes the world towards intelligent management systems and automated procedures. This makes a significant contribution to automation and intelligent societies. Traffic regulation and effective congestion management assist conserve many priceless resources. In order to recognize, collect and send data, autonomous vehicles are furnished with IoT powered Intelligent Traffic Management System (ITMS) having a set of sensors.  Moreover, machine learning (ML) algorithms can also be employed to enhance the transportation system.  Traffic jams, delays, and a high death rate are the results of the problems that the current transport management systems face.  In this paper, an active traffic control for VANET is proposed which merges Roaming Agents (RA) with deep neural networks (DNN). The effectiveness of the DNN with RA (RAD2N) routing method in VANETs is evaluated experimentally and compared with the traditional ML and other DL routing algorithms. Several traffic congestion indicators, including delay, packet delivery ratio (PDR) and throughput are used to validate RAD2N. The outcomes demonstrate that the proposed approach delivers lower latency and energy consumption

IoT for 5G/B5G applications in smart homes, smart cities, wearables and connected cars

Internet of things (IoT) is referred to as smart devices connected to the internet. A smart device is an electronic device, which may connect to other devices or are part of a network such as Wi-Fi. The increase of IoT devices has helped with advancing technology in many areas of society. Application of IoT in 5G/B5G devices has provided many benefits such as providing new ideas that can become projects for tech companies, generating big data (large volume of data which can be used to reveal trends, patterns and associations) and providing various ways of communicating. This has also had an impact on how companies improve their business with the use of advanced technology. However, the rapid growth of IoT has introduced a new platform for cybercriminals to attack. There has been published security measures on IoT to help deal with such risks and vulnerabilities. This survey paper will explore IoT in relation to smart homes, smart cities, wearables and connected cars. The benefits, risks and vulnerabilities will be discussed that comes along with using such devices connected to the internet