Evolving IoT networks by the confluence of MEC and LP-WAN paradigms

Sánchez-Iborra, Ramón; Sánchez-Gómez, Jesús; Skarmeta, Antonio F.

doi:10.1016/j.future.2018.05.057

Cited by 30 publications

(17 citation statements)

References 16 publications

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“…As stated above, and further discussed in Ref. [31], the restrictions posed by the LPWAN link leads to the need of employing compression schemes with the aim of optimizing the size of the packets to be sent in this constrained transmission channel. To address this need, our SCHC module has been developed on the basis of the guidelines described in Ref.…”

Section: Test-benchmentioning

confidence: 99%

LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

Santa

Sánchez-Iborra

Rodriguez-Rey

et al. 2019

Sensors

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Remote vehicle monitoring is a field that has recently attracted the attention of both academia and industry. With the dawn of the Internet of Things (IoT) paradigm, the possibilities for performing this task have multiplied, due to the emergence of low-cost and multi-purpose monitoring devices and the evolution of wireless transmission technologies. Low Power-Wide Area Network (LPWAN) encompasses a set of IoT communication technologies that are gaining momentum, due to their highly valued features regarding transmission distance and end-device energy consumption. For that reason, in this work we present a vehicular monitoring platform enabled by LPWAN-based technology, namely Long Range Wide Area Network (LoRaWAN). Concretely, we explore the end-to-end architecture considering vehicle data retrieving by using an On-Board Diagnostics II (OBD-II) interface, their compression with a novel IETF compression scheme in order to transmit them over the constrained LoRaWAN link, and information visualization through a data server hosted in the cloud, by means of a web-based dashboard. A key advance of the proposal is the design and development of a UNIX-based network interface for LPWAN communications. The whole system has been tested in a university campus environment, showing its capabilities to remotely track vehicle status in real-time. The conducted performance evaluation also shows high levels of reliability in the transmission link, with packet delivery ratios over 95%. The platform boosts the process of monitoring vehicles, enabling a variety of services such as mechanical failure prediction and detection, fleet management, and traffic monitoring, and is extensible to light vehicles with severe power constraints.

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Section: Test-benchmentioning

confidence: 99%

LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

Santa

Sánchez-Iborra

Rodriguez-Rey

et al. 2019

Sensors

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“…The data is transmitted to the gateway or aggregation node through one-hop or multihop methods to realize the process of timely processing of IoT information. Over the years, many domestic and foreign researchers have been committed to achieving efficient and energy-efficient data transmission in various IoT environments, such as: For low-duty-cycle wireless sensor networks, the literature [32] proposes a lightweight data transmission strategy based on the length of the optimal preamble (a series of signals transmitted before the useful signal is transmitted); [33] Opportunistic underwater sensor network proposes a data propagation controllable strategy to improve transmission performance; based on local activity and social similarity, the literature [34] proposes a data transmission strategy for mobile social networks; the literature [35] An in-vehicle network with community characteristics proposes a data transmission strategy that considers travel information; the literature [36] is also related to various application services of the Internet of Things. Research data transmission, the transmission of information or data transfer is a key step in acritical networking applications to achieve.…”

Section: Data Transmission For Mobile Edge Computing Under the Inmentioning

confidence: 99%

Tolerable Data Transmission of Mobile Edge Computing Under Internet of Things

Liu

Wei²,

Jiang³

2019

IEEE Access

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With the emergence of in-depth research of emerging technologies or 5G mobile communication technology methods, the IoT applications have been further sublimated. In this paper, the new characteristics and new challenges appearing in the current mobile edge computing are sorted out, and the latest related models and work are summarized. The important optimization models and moving models and wireless block data in mobile edge computing are analyzed and discussed. On this basis, this paper mainly designs and verifies the following three aspects of mobile edge computing. A joint optimization model of task offloading and power allocation is established, and a centralized joint optimization algorithm for task unloading and power allocation is proposed. Based on the equalization delay and the impact of energy consumption on task unloading, the algorithm can use the idle resources that can be used to distribute and unload the computing tasks. The simulation experiments show that the algorithm can not only coordinate task offloading and power allocation effectively, but also improve the balance between system delay and energy consumption. Delay-tolerable data can be modeled as a partially observable Markov decision process in a software-defined transport and compute node selection process. Compared with the existing scheme, the proposed method can effectively reduce system overhead, shorten data calculation execution time, improve data calculation efficiency, and ensure that the delay can tolerate data transmission arrival rate under the condition of transmission delay. INDEX TERMS Internet of Things, latency tolerable data, mobile edge computing, task offloading, data transfer.

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“…As Table 1 presents, the complete EDHOC transaction can be performed by using SF7 and SF8, which constitute the fastest LoRa data-rate configurations. In addition, by making use of SF9, the first and third messages are suitable to be transmitted, as well; hence, by using a dynamic SF-selection mechanism, this configuration may be also valid in advanced LoRaWAN systems [ 41 ]. In turn, when using the most conservative settings (SF10–SF12), the ToA of the EDHOC messages surpass the regulatory radio-band restrictions.…”

Section: Analysis Of Solutionsmentioning

confidence: 99%

Enhancing LoRaWAN Security through a Lightweight and Authenticated Key Management Approach

Sánchez-Iborra

Sánchez-Gómez

Pérez

et al. 2018

Sensors

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Luckily, new communication technologies and protocols are nowadays designed considering security issues. A clear example of this can be found in the Internet of Things (IoT) field, a quite recent area where communication technologies such as ZigBee or IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) already include security features to guarantee authentication, confidentiality and integrity. More recent technologies are Low-Power Wide-Area Networks (LP-WAN), which also consider security, but present initial approaches that can be further improved. An example of this can be found in Long Range (LoRa) and its layer-two supporter LoRa Wide Area Network (LoRaWAN), which include a security scheme based on pre-shared cryptographic material lacking flexibility when a key update is necessary. Because of this, in this work, we evaluate the security vulnerabilities of LoRaWAN in the area of key management and propose different alternative schemes. Concretely, the application of an approach based on the recently specified Ephemeral Diffie–Hellman Over COSE (EDHOC) is found as a convenient solution, given its flexibility in the update of session keys, its low computational cost and the limited message exchanges needed. A comparative conceptual analysis considering the overhead of different security schemes for LoRaWAN is carried out in order to evaluate their benefits in the challenging area of LP-WAN.

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Evolving IoT networks by the confluence of MEC and LP-WAN paradigms

Cited by 30 publications

References 16 publications

LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

Tolerable Data Transmission of Mobile Edge Computing Under Internet of Things

Enhancing LoRaWAN Security through a Lightweight and Authenticated Key Management Approach

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