IoT Applications and Services in Space Information Networks

Bacco, Manlio; Boero, Luca; Cassarà, Pietro; Colucci, Marco; Gotta, Alberto; Marchese, Mario; Patrone, Fabio

doi:10.1109/mwc.2019.1800297

Cited by 85 publications

(46 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the complexity of the proposed method remains low, because the large amount of steps are only needed for training phases, and the optimal offloading decision and resource allocation can be achieved based on the trained Q-network without iterations. The convergence process of total cost, as discussed in (7) and calculated by the weighted-sum of latency and energy, is showed in Fig. 3.…”

Section: A Convergence Of Juaod-oramentioning

confidence: 99%

“…In [6], heterogenous space and terrestrial integrated networks for IoT is given and analyzed with several research challenges. The typical IoT applications and services in space information networks are given in [7], and four types of traffic are classified according to the delay tolerance. In [8], the internet of space things is introduced with software defined networking (SDN) and network function virtualization (NFV).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Cui

et al. 2020

IEEE Access

129

View full text Add to dashboard Cite

Mobile edge computing (MEC) enhanced satellite based internet of things (SAT-IoT) is an important complement for terrestrial networks based IoT, especially for the remote and depopulated areas. For MEC enhanced SAT-IoT networks with multiple satellites and multiple satellite gateways, the coupled user association, offloading decision, computing and communication resource allocation should be jointly optimized to minimize the latency and energy cost. In this paper, the latency and energy optimization for MEC enhanced SAT-IoT networks are formulated as a dynamic mixed-integer programming problem, which is hard to obtain the optimal solutions. To tackle this problem, we decompose the complex problem into two sub-problems. The first one is computing and communication resource allocation with fixed user association and offloading decision, and the second one is joint user association and offloading with optimal resource allocation. For the sub-problem of resource allocation, the optimal solution is proven to be obtained based on Lagrange multiplier method. And then, the second sub-problem is further formulated as a Markov decision process (MDP), and a joint user association and offloading decision with optimal resource allocation (JUAOD-ORA) is proposed based on deep reinforcement learning (DRL). Simulation results show that the proposed approach can achieve better long-term reward in terms of latency and energy cost. INDEX TERMS Latency and energy optimization, MEC, SAT-IoT, deep reinforcement learning.

show abstract

Section: A Convergence Of Juaod-oramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Cui

et al. 2020

IEEE Access

129

View full text Add to dashboard Cite

show abstract

“…The monitoring of buildings relies on the use of lightweight, reliable, and open network stacks, enabling interoperability and lowering integration costs. On this topic, the use of Message Queuing Telemetry Transport (MQTT) or Constrained Application Protocol (CoAP) protocols is a de facto standard [25] because they can provide lightweight solutions for IoT data exchanges in an energy efficient manner. The Publish / Subscribe (PUB/SUB) paradigm, connecting data publishers to data consumers through a rendezvous entity, allows flexible and customisable implementations.…”

Section: State Of the Artmentioning

confidence: 99%

“…In particular, the data collected from the sensor nodes is delivered to the remote server by means of MQTT, an IoT protocol for reliable data exchanges that decouples data producers from data consumers by means of a rendezvous node, referred to as broker. MQTT offers intrinsically reliable data exchanges because it is TCP-based, contrarily to the plain version of CoAP [25], [32], an UDPbased solution for RESTful data exchanges.…”

Section: Monitoring Systemmentioning

confidence: 99%

Monitoring Ancient Buildings: Real Deployment of an IoT System Enhanced by UAVs and Virtual Reality

et al. 2020

Self Cite

View full text Add to dashboard Cite

The historical buildings of a nation are the tangible signs of its history and culture. Their preservation deserves considerable attention, being of primary importance from a historical, cultural, and economic point of view. Having a scalable and reliable monitoring system plays an important role in the Structural Health Monitoring (SHM): therefore, this paper proposes an Internet of Things (IoT) architecture for a remote monitoring system that is able to integrate, through the Virtual Reality (VR) paradigm, the environmental and mechanical data acquired by a wireless sensor network set on three ancient buildings with the images and context information acquired by an Unmanned Aerial Vehicle (UAV). Moreover, the information provided by the UAV allows to promptly inspect the critical structural damage, such as the patterns of cracks in the structural components of the building being monitored. Our approach opens new scenarios to support SHM activities, because an operator can interact with real-time data retrieved from a Wireless Sensor Network (WSN) by means of the VR environment. INDEX TERMS Internet of Things, structural health monitoring, virtual reality, unmanned aerial vehicles, condition monitoring.

show abstract

“…On the other hand, IETF has proposed the use of Constrained Application Protocol (CoAP) (RFC 7252), which relies on UDP and implements a request/response style. When used over satellite links, CoAP outperforms MQTT on random access channels [9,8]. Moreover, the authors of [39] proposed an integration of CoAP and MQTT over LoRaWAN, even though such application layer protocols cause extra overhead in terms of payload size, thus undermining the already limited performance of DtS-IoT links.…”

Section: Upper Layersmentioning

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

View full text Add to dashboard Cite

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.

show abstract

IoT Applications and Services in Space Information Networks

Cited by 85 publications

References 14 publications

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Monitoring Ancient Buildings: Real Deployment of an IoT System Enhanced by UAVs and Virtual Reality

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

Contact Info

Product

Resources

About