Comparative analysis of standards for Low-power Wide-area Network

Knyazev, Nikolay S.; Chechetkin, Victor A.; Letavin, Denis A.

doi:10.1109/sinkhroinfo.2017.7997528

Cited by 14 publications

(8 citation statements)

References 1 publication

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“…Weightless-P [17,18] has considered data security and integrity by providing AES 128/256 for encryption and node authentication. However, the nodes use the same shared key throughout their lifetime.…”

Section: Weightlessmentioning

confidence: 99%

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

2020

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The Internet of things (IoT) has revolutionized the use of connectivity and has given birth to new transmission technologies to satisfy the requirements of diverse IoT applications. Low powered wide area networks (LPWAN) is one of those transmission technologies, and is becoming exceptionally useful for IoT applications. The nodes use energy-efficient mechanisms for long-range data transmission (10–20 km), lasting in hostile environments for years and making them suitable for IoT applications such as environmental monitoring, automated billing systems, smart homes, smart offices, and patient monitoring. However, LPWAN devices have minimal resources, which makes it challenging to provide promising security to devices and data in the network. In this paper, we discuss the security mechanisms used in current LPWAN technologies along with their vulnerabilities and possible attacks on them. A detailed literature review is conducted on existing solutions on the security of constrained IoT networks similar to LPWAN using different networking frameworks. The reviewed literature is then compared based on various network security measures addressed by them. In addition, the emergence of software defined network (SDN) architecture for security in IoT is explained based on literature. Finally, the applicability of SDN in LPWAN security, its opportunities, and challenges in implementation are discussed.

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Section: Weightlessmentioning

confidence: 99%

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

2020

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“…The values R 1 and R 2 are computed from (3). Inserting ( 9) into (3) with i = 1 produces a quadratic equation aR 2 1 + bR 2 1 + c = 0. Substitution of the positive root back into (9) gives the solution.…”

Section: Chan's Algorithmmentioning

confidence: 99%

“…The requirements of the newly developed IoT applications have led to the emergence of a new wireless technology class—low-power wide-area-networks (LPWANs) are low-power (LP) networks with extensive geographic coverage (WAN) characterized by a low bit rate. Devices that implement the protocols, that meet these requirements, also often have to be inexpensive and feature a long battery lifetime [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice

Pospisil

Fujdiak

Mikhaylov

2020

Sensors

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The paper deals with the localization in a low-power wide-area-network (LPWAN) operating long-range wide-area-network (LoRaWAN) technology. The LoRaWAN is, today, one of the most widely used connectivity-enabling technologies for the battery-powered smart devices employed in a broad range of applications. Many of these applications either require or can benefit from the availability of geolocation information. The use of global positioning system (GPS) technology is restrained by the bad propagation of the signal when the device is hidden indoors, and by energy consumption such a receiver would require. Therefore, this paper focuses on an alternative solution implying the use of the information readily available in the LoRaWAN network and application of the time difference of arrival (TDoA) method for the passive geolocation of end-devices in the network. First, the limits of geolocation services in networks that use narrow-band communication channels are discussed, as well as the relevant challenges faced by the TDoA approach. Then, we select five classic TDoA algorithms and evaluate their performance using simulation. Based on these results, we select the two providing the best accuracy (i.e., Chan’s and Foy’s). These algorithms were tested by the field measurements, using the specially designed low-cost gateways and test devices to estimate their real-life performance.

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“…Similarly, features of the LoRaWAN standard are a long communication range, and thus, coverage area, long time service of user terminals, low cost of network deployment and user terminals, and a high penetrating power. However, the data rates achievable with LoRaWAN are relatively low [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the large coverage area and high-quality link offered by NB-IoT even when implemented using existing LTE networks, the cost of the deployment of this technology is expensive compared to LoRa, as a greater cost is incurred in upgrading existing base stations [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Overcoming Limitations of LoRa Physical Layer in Image Transmission

Jebril¹,

Sali²,

Ismail³

et al. 2018

Sensors

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As a possible implementation of a low-power wide-area network (LPWAN), Long Range (LoRa) technology is considered to be the future wireless communication standard for the Internet of Things (IoT) as it offers competitive features, such as a long communication range, low cost, and reduced power consumption, which make it an optimum alternative to the current wireless sensor networks and conventional cellular technologies. However, the limited bandwidth available for physical layer modulation in LoRa makes it unsuitable for high bit rate data transfer from devices like image sensors. In this paper, we propose a new method for mangrove forest monitoring in Malaysia, wherein we transfer image sensor data over the LoRa physical layer (PHY) in a node-to-node network model. In implementing this method, we produce a novel scheme for overcoming the bandwidth limitation of LoRa. With this scheme the images, which requires high data rate to transfer, collected by the sensor are encrypted as hexadecimal data and then split into packets for transfer via the LoRa physical layer (PHY). To assess the quality of images transferred using this scheme, we measured the packet loss rate, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) index of each image. These measurements verify the proposed scheme for image transmission, and support the industrial and academic trend which promotes LoRa as the future solution for IoT infrastructure.

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Comparative analysis of standards for Low-power Wide-area Network

Cited by 14 publications

References 1 publication

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice

Overcoming Limitations of LoRa Physical Layer in Image Transmission

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