Technology Selection for IoT-Based Smart Transportation Systems

Ayoub, Wael; Samhat, Abed Ellatif; Mroué, Mohamad; Joumaa, Hussein; Nouvel, Fabienne; Prévotet, Jean-Christophe

doi:10.1007/978-981-15-3750-9_2

Cited by 10 publications

(7 citation statements)

References 9 publications

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“…Several papers have tackled the issue of selecting the most adequate network technology for an IoT application. For instance, [13] compares between LoRaWAN, NB-IoT, Wi-Fi HaLow [5] and Sigfox on the following metrics: data rate, loss, cost, power consumption, bandwidth, coverage and SNR. However, the performance of each technology in terms of these metrics does not take into account the targeted scenario the network technology is used for.…”

Section: Related Workmentioning

confidence: 99%

ADIperf: A Framework for Application-driven IoT Network Performance Evaluation

Si-Mohammed

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Guérin-Lassous

et al. 2022

2022 International Conference on Computer Communications and Networks (ICCCN)

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The Internet of Things (IoT) is the convergence of the physical and the digital worlds. It enables a large spectrum of applications such as smart building, smart tracking, smart metering, predictive maintenance, remote control, augmented reality or video surveillance. The diversity of these applications has caused a profusion of the IoT communication technologies offerings for exchanging data between IoT devices and applications. The latter technologies come with different features in terms of range, throughput, latency, scalability, energy, etc. Each technology can fit several use cases and a use case can leverage several technologies. It is complex, yet critical, for an IoT architect to evaluate the adequacy and the limits of a network technology for a targeted application and to continuously optimize its configuration as the deployment evolves. This paper introduces ADIperf, a framework to simplify and systematize the evaluation of the performance of an IoT communication technology for a given IoT use case and context. The ADIperf approach pays special attention to the energy efficiency as well as to the ability of an IoT communication technology to properly scale up with the number of end-devices, with the ultimate goal of giving guidelines and tools for IoT architects to select the technology and configure the network that fulfill their application's needs over time.

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Section: Related Workmentioning

confidence: 99%

ADIperf: A Framework for Application-driven IoT Network Performance Evaluation

Si-Mohammed

Begin

Guérin-Lassous

et al. 2022

2022 International Conference on Computer Communications and Networks (ICCCN)

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“…The proposed algorithm is shown in Listing 2. //TIMER timer = timerBegin(0, 80, true); timerAttachInterrupt(timer, &onTimer, true); timerAlarmWrite(timer, 4000, true); //timer every 4ms timerAlarmEnable(timer); void IRAM_ATTR onTimer() { //every 4ms portENTER_CRITICAL_ISR(&timerMux); pulse_number[0]=digitalRead(V1); pulse_number [1]=digitalRead(V2); pulse_number [2]=digitalRead(V3); pulse_number [3]=digitalRead(V4); pulse_number [4]=digitalRead(V5); pulse_number [5] The timer is set to 4ms, as this was calculated to be the shortest signal period on the 526 fastest tap, according to the flow meter specifications from datasheet [40]. Interrupt The timer is set to 4 ms, which was calculated be the shortest signal period on the fastest tap, according to the flow meter specifications from the datasheet [40].…”

Section: Improving the Hardware Layermentioning

confidence: 99%

“…Smart devices and the presence of the Internet provide innovative solutions to various challenges, such as in business, government, public and private industries, and quality of life in general [1]. The IoT is multidisciplinary in a variety of applications such as smart surveillance systems, smart agriculture, smart monitoring and security, smart energy consumption, and smart cities and homes [2][3][4]. The IoT [5] concept is increasingly mentioned in the context of the connectivity of multiple electronic devices over the Internet.…”

Section: Introductionmentioning

confidence: 99%

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

et al. 2021

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This paper presents a solution for upgrading a previous device model to an Industry 4.0 smart device, with the goal of maintaining high compatibility. A novel IoT architecture is presented that satisfies the characteristics of a smart device. We analysed existing IoT architectures and proposed a new architecture to achieve long-term security and usability. To ensure long-term security, we eliminated the possibility of device configuration outside the immediate vicinity of the device with a dedicated protocol. The security concepts of the existing architectures were also analysed and further modified. To improve compatibility with previous device models, we propose a new method to collect data from sensors by introducing a multithreaded microcontroller. We propose additional software components to ensure factory programming, maintenance, and cloud Big Data analysis. Based on our experiments, we adapted the algorithm to increase the accuracy of the temperature and flow sensors by using a temperature calibration device and known flow cycles. Measurement results are presented to confirm the successful upgrade. We designed a hardware architecture to ensure compatibility with previous and future device models. Issues with previous sensors encountered during the upgrade were discussed and resolved. A novel software architecture based on security for long-term IoT devices is proposed.

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“…The lack of a technology satisfying all the IoT communication requirements led to the development of a new type of wireless communication technology called Low Power Wide Area Network (LPWAN). The long range, low cost and low power characteristics of LPWAN [1,2] give it an increasing prevalence in the research and manufacturing areas [3]. Among the various LPWAN technologies, the most popular today are LoRaWAN [4], NB-IoT [5], SigFox [6] and DASH7 [7,8].…”

Section: Introductionmentioning

confidence: 99%

Overview of the mobility related security challenges in LPWANs

et al. 2021

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The Internet of Things (IoT) is a new emerging system of interconnected devices that experiences significant growth in a wide variety of applications. The rising communication technologies for IoT are the Low Power Wide Area Networks (LPWANs) having long range, low cost and low power characteristics. In this context, an important part of the applications requires the mobility of the end devices with secure communications. In this paper, we consider the mobility management solutions in LPWAN networks and we investigate how they ensure security. We first review the basic IoT security requirements and the typical IoT protocol stack. We then focus on the existing mobility management solutions in LP-WAN and we highlight the mobility related security issues by checking the attacks that can be performed in case of mobility. Furthermore, we evaluate the security in each mobility solution by checking the aforementioned attacks and we draw a comparison study.

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Technology Selection for IoT-Based Smart Transportation Systems

Cited by 10 publications

References 9 publications

ADIperf: A Framework for Application-driven IoT Network Performance Evaluation

ADIperf: A Framework for Application-driven IoT Network Performance Evaluation

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

Overview of the mobility related security challenges in LPWANs

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