scholarly journals Energy-Aware Security Adaptation for Low-Power IoT Applications

Network ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 36-52
Author(s):  
Miguel Rosendo ◽  
Jorge Granjal
Keyword(s):  
Low Power ◽  
Communication Technologies ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Energy Aware ◽  
Iot Applications ◽  
Communication Environments ◽  
Iot Devices ◽  
The One

The constant evolution in communication infrastructures will enable new Internet of Things (IoT) applications, particularly in areas that, up to today, have been mostly enabled by closed or proprietary technologies. Such applications will be enabled by a myriad of wireless communication technologies designed for all types of IoT devices, among which are the Long-Range Wide-Area Network (LoRaWAN) or other Low-power and Wide-Area Networks (LPWAN) communication technologies. This applies to many critical environments, such as industrial control and healthcare, where wireless communications are yet to be broadly adopted. Two fundamental requirements to effectively support upcoming critical IoT applications are those of energy management and security. We may note that those are, in fact, contradictory goals. On the one hand, many IoT devices depend on the usage of batteries while, on the other hand, adequate security mechanisms need to be in place to protect devices and communications from threats against their stability and security. With thismotivation in mind, we propose a solution to address the management, in tandem, of security and energy in LoRaWAN IoT communication environments. We propose and evaluate an architecture in the context of which adaptation logic is used to manage security and energy dynamically, with the goal of guaranteeing appropriate security, while promoting the lifetime of constrained sensing devices. The proposed solution was implemented and experimentally evaluated and was observed to successfully manage security and energy. Security and energy are managed in line with the requirements of the application at hand, the characteristics of the constrained sensing devices employed and the detection, as well as the threat, of particular types of attacks.

Principles and Applications of Narrowband IoT

2021 ◽  
pp. 46-85
Author(s):  
Eisha Akanksha
Keyword(s):  
Low Power ◽  
Communication Technologies ◽  
Wide Area ◽  
The Internet ◽  
Battery Life ◽  
Area Network ◽  
Wide Area Network ◽  
Radio Communication ◽  
Processing Power ◽  
Living Things

The internet of things (IoT) brings ‘life' to non-living things. In the IoT frameworks, the devices become smarter, more intelligent, become able to make decisions, and can communicate with other entities, applications, as well as human beings. According to a Gartner report, by 2020 more than 25 billion devices will be connected to the internet. Low power wireless wide area network (LPWAN) is a group of various low power, wide-area technologies such as LoRa, Sigfox, NB-IoT, DASH7, RPMA, LTE-M, designed to interconnect low bandwidth, battery-operated devices having limited processing power, limited memory, transmission speed with low bit rates at long-range using radio communication technologies. Most of these technologies provide a long battery life, low deployment cost, large capacity, and generates deeper insights of businesses. However, each technology differs in latency, data rate, handover mechanisms, quality of services, applications, and use cases. In this chapter, the authors provide the basic principles of these LPWANs and present their applications in different domains.

scholarly journals A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

2021 ◽  
Vol 13 (1) ◽  
pp. 338
Author(s):  
Nahla Nurelmadina ◽  
Mohammad Kamrul Hasan ◽  
Imran Memon ◽  
Rashid A. Saeed ◽  
Khairul Akram Zainol Ariffin ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Low Power ◽  
Success Factors ◽  
Low Cost ◽  
Network Connectivity ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Iot Applications ◽  
Industrial Iot

The Industrial Internet of things (IIoT) helps several applications that require power control and low cost to achieve long life. The progress of IIoT communications, mainly based on cognitive radio (CR), has been guided to the robust network connectivity. The low power communication is achieved for IIoT sensors applying the Low Power Wide Area Network (LPWAN) with the Sigfox, NBIoT, and LoRaWAN technologies. This paper aims to review the various technologies and protocols for industrial IoT applications. A depth of assessment has been achieved by comparing various technologies considering the key terms such as frequency, data rate, power, coverage, mobility, costing, and QoS. This paper provides an assessment of 64 articles published on electricity control problems of IIoT between 2007 and 2020. That prepares a qualitative technique of answering the research questions (RQ): RQ1: “How cognitive radio engage with the industrial IoT?”, RQ2: “What are the Proposed architectures that Support Cognitive Radio LPWAN based IIOT?”, and RQ3: What key success factors need to comply for reliable CIIoT support in the industry?”. With the systematic literature assessment approach, the effects displayed on the cognitive radio in LPWAN can significantly revolute the commercial IIoT. Thus, researchers are more focused in this regard. The study suggests that the essential factors of design need to be considered to conquer the critical research gaps of the existing LPWAN cognitive-enabled IIoT. A cognitive low energy architecture is brought to ensure efficient and stable communications in a heterogeneous IIoT. It will protect the network layer from offering the customers an efficient platform to rent AI, and various LPWAN technology were explored and investigated.

A Study of Low Power Wide Area Network Solutions for IoT Applications

2021 ◽  
Author(s):  
Raghav Khandelwal ◽  
Arsh Makhdumi ◽  
Gagandeep Kaur ◽  
Samarth Singh
Keyword(s):  
Low Power ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Iot Applications

scholarly journals Exploratory approach for network behavior clustering in LoRaWAN

2021 ◽  
Author(s):  
Domenico Garlisi ◽  
Alessio Martino ◽  
Jad Zouwayhed ◽  
Reza Pourrahim ◽  
Francesca Cuomo
Keyword(s):  
Smart Cities ◽  
Wide Area ◽  
Area Network ◽  
Network Behavior ◽  
Wide Area Network ◽  
Network Efficiency ◽  
Exploratory Approach ◽  
Wireless Interface ◽  
Iot Devices ◽  
Set Up

AbstractThe interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the behavior of such systems in order to characterize and improve their functionality. In these IoT systems, many data related to device and human interactions are stored in databases, as well as IoT information related to the network level (wireless or wired) is gathered by the network operators. In this paper, we provide a systematic approach to process network data gathered from a wide area IoT wireless platform based on LoRaWAN (Long Range Wide Area Network). Our study can be used for profiling IoT devices, in order to group them according to their characteristics, as well as detecting network anomalies. Specifically, we use the k-means algorithm to group LoRaWAN packets according to their radio and network behavior. We tested our approach on a real LoRaWAN network where the entire captured traffic is stored in a proprietary database. Quite important is the fact that LoRaWAN captures, via the wireless interface, packets of multiple operators. Indeed our analysis was performed on 997, 183 packets with 2169 devices involved and only a subset of them were known by the considered operator, meaning that an operator cannot control the whole behavior of the system but on the contrary has to observe it. We were able to analyze clusters’ contents, revealing results both in line with the current network behavior and alerts on malfunctioning devices, remarking the reliability of the proposed approach.

scholarly journals Worldwide Connectivity for the Internet of Things Through LoRaWAN

2019 ◽  
Vol 11 (3) ◽  
pp. 57 ◽  
Author(s):  
Lorenzo Vangelista ◽  
Marco Centenaro
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Cellular Network ◽  
Wide Area ◽  
The Internet ◽  
Area Network ◽  
Wide Area Network ◽  
Frequency Bands ◽  
The Moment ◽  
The Internet Of Things

The low-power wide-area network (LPWAN) paradigm is gradually gaining market acceptance. In particular, three prominent LPWAN technologies are emerging at the moment: LoRaWAN™ and SigFox™, which operate on unlicensed frequency bands, and NB-IoT, operating on licensed frequency bands. This paper deals with LoRaWAN™, and has the aim of describing a particularly interesting feature provided by the latest LoRaWAN™ specification—often neglected in the literature—i.e., the roaming capability between different operators of LoRaWAN™ networks, across the same country or even different countries. Recalling that LoRaWAN™ devices do not have a subscriber identification module (SIM) like cellular network terminals, at a first glance the implementation of roaming in LoRaWAN™ networks could seem intricate. The contribution of this paper consists in explaining the principles behind the implementation of a global LoRaWAN network, with particular focus on how to cope with the lack of the SIM in the architecture and how to realize roaming.

scholarly journals TECNOLOGIA DE LOW POWER WIDE AREA NETWORK (LPWAN) PARA MONITORAMENTO DE FROTAS: UMA REVISÃO DE LITERATURA

2019 ◽  
pp. 47-54
Author(s):  
Paulo Renato Câmera da Silva ◽  
Herman Augusto Lepikson ◽  
Marcus Vinícius Ivo da Silva ◽  
Rafael Barbosa Mendes
Keyword(s):  
Low Power ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network
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