Enabling Internet of Everything Everywhere: LPWAN with Satellite Backhaul

Palattella, Maria Rita; Accettura, Nicola

doi:10.1109/giis.2018.8635663

Cited by 32 publications

(32 citation statements)

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“…Given the few available applicability studies of LoRa technology over the satellite link, and the lack of performance evaluations of the LoRaWAN MAC protocols over DtS-IoT [41,23], it remains largely unknown if these protocols are suitable for the scenario of study. Moreover, the IoT standards did not consider any satellite segment in the overall architecture, nor satellite standards considered low-power devices on the ground segment.…”

Section: Lpwa Network Protocolsmentioning

confidence: 99%

“…Indeed, backhauling satellite networks interconnecting LPWA gateways provide both reachability in remote areas and redundancy in case of service disruption of the ground network. In the case of LEO deployments, even delay sensitive applications could be served by such a hybrid architecture; instead, in GEO deployments, backhauling with LPWA gateways will target applications that do not hold critical time constraints [41]. Hence, given that we target delay-sensitive applications, including disaster recovery scenarios, the focus of the present contribution is on the interconnection of LPWA gateways through LEO satellite networks.…”

Section: Introductionmentioning

confidence: 99%

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Direct-To-Satellite IoT - A Survey of the State of the Art and Future Research Perspectives

Fraire

Céspedes

Accettura

2019

Lecture Notes in Computer Science

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The Internet of Things (IoT) has drawn an enormous attention into the scientific community thanks to unimaginable before applications newly available in everyday life. The technological landscape behind the implied surge of automated interactions among humans and machines has been shaped by plugging into the Internet very low power devices that can perform monitoring and actuation operations through very cheap circuitry. The most challenging IoT scenarios include deployments of low power devices dispersed over wide geographical areas. In such scenarios, satellites will play a key role in bridging the gap towards a pervasive IoT able to easily handle disaster recovery scenarios (earthquakes, tsunamis, and flash floods, etc.), where the presence of a resilient backhauling communications infrastructure is crucial. In these scenarios, Direct-to-Satellite IoT (DtS-IoT) connectivity is preferred as no intermediate ground gateway is required, facilitating and speeding up the deployment of wide coverage IoT infrastructure. In this work, an in-depth yet thorough survey on the state-of-the-art of DtS-IoT is presented. The available physical layer techniques specifically designed for the IoT satellite link are described, and the suitability of both the current Medium Access Control protocol and the upper layer protocols to communicate over space links will be argued. We also discuss the design of the overall satellite LEO constellation and topology to be considered in DtS-IoT networks.

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Section: Lpwa Network Protocolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct-To-Satellite IoT - A Survey of the State of the Art and Future Research Perspectives

Fraire

Céspedes

Accettura

2019

Lecture Notes in Computer Science

Self Cite

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“…The advantages of space-based information networks include strong resistance to damage, global coverage, and infrastructure independence. Using a space-based information network as the network for IoT information transmission, building a space-based Internet of Things (S-IoT) is an effective way to realize the real interconnection of all things [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Towards Efficient Data Collection in Space-Based Internet of Things

Fei

Zhao

et al. 2019

Sensors

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Due to the strong anti-destructive ability, global coverage, and independent infrastructure of the space-based Internet of Things (S-IoT), it is one of the most important ways to achieve a real interconnection of all things. In S-IoT, a single satellite can often achieve thousands of kilometers of coverage and needs to provide data transmission services for massive ground nodes. However, satellite bandwidth is usually low and the uplink and downlink bandwidth is extremely asymmetric. Therefore, exact data collection is not affordable for S-IoT. In this paper, an approximate data collection algorithm is proposed for S-IoT; that is, the sampling-reconstruction (SR) algorithm. Since the uplink bandwidth is very limited, the SR algorithm samples only the sensory data of some nodes and then reconstructs the unacquired data based on the spatiotemporal correlation between the sensory data. In order to obtain higher data collection precision under a certain data collection ratio, the SR algorithm optimizes the sampling node selection by leveraging the curvature characteristics of the sensory data in time and space dimensions. Moreover, the SR algorithm innovatively applies spatiotemporal compressive sensing (ST-CS) technology to accurately reconstruct unacquired sensory data by making full use of the spatiotemporal correlation between the sensory data. We used a real-weather data set to evaluate the performance of the SR algorithm and compared it with two existing representative approximate data collection algorithms. The experimental results show that the SR algorithm is well-suited for S-IoT and can achieve efficient data collection under the condition that the uplink bandwidth is extremely limited.S-IoT is a comprehensive information system that is based on the space-based information network and provides interactions between things and things, people and things, and people and people. S-IoT is an extension and supplement to the terrestrial IoT. It mainly provides data transmission services for nodes in areas that are difficult to cover by terrestrial networks, such as forests, oceans, and deserts, as well as nodes in special areas, such as disaster areas and battlefields.At present, the research on S-IoT has just started, and only a small amount of preliminary research has been carried out on data collection [7], application protocols [8], modulation schemes [9], and authentication protocols [10]. Despite this, S-IoT has attracted extensive attentions from many organizations including Inmarsat, Iridium, Globalstar and Orbcomm, and reports from Northern Sky Research (NSR) also show that in 2020, S-IoT's revenue will likely be as high as $1.7 billion [11].The foundation of S-IoT's service for a variety of applications is data collection. Data collection is the primary operation in S-IoT. Data collection in S-IoT refers to the process of using the space-based information network to collect sensory data from ground nodes and store this in data centers.However, there are huge challenges in S-IoT data collection. Firstly, ...

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“….) [4] are not well-suited to the considerable delays in the satellite-earth radiolinks, and consequently, new approaches or amendments of the existing ones are required, whatever the mode of access (see e.g., [13][14][15]). On the other hand, most of the typical deployment scenarios for eMBB, mMTC, and URLLC analyzed in the 3rd Generation Partnership Project (3GPP) technical report [7] are intended to be implemented in smart cities, where the goal is to maintain continuous and ubiquitous coverage with high traffic loads.…”

mentioning

confidence: 99%

“…To cite only a few commercial options, Eutelsat (European Organisation of Telecommunications by Satellite S.A.) offers GEO-based IoT services with transfer speeds up to 1 Mbps in the satellite-to-ground communication and up to 128 kbps in the opposite direction. Inmarsat (International Maritime Satellite (consortium)) has also announced its intention to provide satellite connectivity to LoRa Wide Area Networks (LoRaWANs) (see, e.g., [13] for a discussion about how to enable LoRaWAN services in GEO-based satellites). Both of them provide M2M services for applications with stringent timing requirements, normally associated to the massive synchronization of sensors and other devices.…”

mentioning

confidence: 99%

Prediction of Satellite Shadowing in Smart Cities with Application to IoT

Hornillo-Mellado

Martı́n-Clemente

Baena-Lecuyer

2020

Sensors

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The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. In this paper, we propose an accurate and fast graphical method for predicting the satellite coverage in urban areas and SatCom on-the-move scenarios. The aim is to provide information that could be useful in the IoT network planning process, e.g., in the decision of how many terrestrial repeaters are really needed and where they should be placed. Experiments show that the shadowed areas predicted by the method correspond almost perfectly with experimental data measured from an Eutelsat satellite in the urban area of Barcelona.

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Enabling Internet of Everything Everywhere: LPWAN with Satellite Backhaul

Cited by 32 publications

References 16 publications

Direct-To-Satellite IoT - A Survey of the State of the Art and Future Research Perspectives

Direct-To-Satellite IoT - A Survey of the State of the Art and Future Research Perspectives

Towards Efficient Data Collection in Space-Based Internet of Things

Prediction of Satellite Shadowing in Smart Cities with Application to IoT

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