Intelligent Optimization of Availability and Communication Cost in Satellite-UAV Mobile Edge Caching System With Fault-Tolerant Codes

Gu, Shushi; Wang, Ye; Wang, Niannian; Wu, Wen

doi:10.1109/tccn.2020.3005921

Cited by 32 publications

(13 citation statements)

References 33 publications

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“…Caching is a promising method in satellite-UAVassisted networks. For instance, Gu et al [30] consider a system, where the UAV is responsible for collecting data from the TNs, and the LEO satellite is used to broadcast data.…”

Section: Hybrid Satellite-uav-assisted Edge-centric Iot Networkmentioning

confidence: 99%

Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture

Jamalipour

Abkenar

2022

IEICE Trans. Commun.

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In this paper, we propose a novel Hybrid-Hierarchical spatial-aerial-Terrestrial Edge-Centric (H 2 TEC) for the space-air integrated Internet of Things (IoT) networks. (H 2 TEC) comprises unmanned aerial vehicles (UAVs) that act as mobile fog nodes to provide the required services for terminal nodes (TNs) in cooperation with the satellites. TNs in (H 2 TEC) offload their generated tasks to the UAVs for further processing. Due to the limited energy budget of TNs, a novel task allocation protocol, named TOP, is proposed to minimize the energy consumption of TNs while guaranteeing the outage probability and network reliability for which the transmission rate of TNs is optimized. TOP also takes advantage of the energy harvesting by which the low earth orbit satellites transfer energy to the UAVs when the remaining energy of the UAVs is below a predefined threshold. To this end, the harvested power of the UAVs is optimized alongside the corresponding harvesting time so that the UAVs can improve the network throughput via processing more bits. Numerical results reveal that TOP outperforms the baseline method in critical situations that more power is required to process the task. It is also found that even in such situations, the energy harvesting mechanism provided in the TOP yields a more efficient network throughput.

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Section: Hybrid Satellite-uav-assisted Edge-centric Iot Networkmentioning

confidence: 99%

Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture

Jamalipour

Abkenar

2022

IEICE Trans. Commun.

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“…In [17], the authors consider a space-air-ground integrated mobile edge caching IoT system composed of satellite and unmanned aerial vehicles (UAVs), where LEO satellite broadcasts data, and UAVs collect the data from decentralized ground sensors. Since the sensors' low-power property leads data loss, fault-tolerant codes are employed for availability protection.…”

Section: Related Workmentioning

confidence: 99%

“…Since the sensors' low-power property leads data loss, fault-tolerant codes are employed for availability protection. This paper is different from [17] because this paper utilizes LEO satellites to provide computation offloading service.…”

Section: Related Workmentioning

confidence: 99%

Integrating Edge Computing into Low Earth Orbit Satellite Networks: Architecture and Prototype

Zhang²,

Xie

et al. 2021

IEEE Access

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Low Earth Orbit (LEO) satellite network is a cost-efficient way to achieve global covering for wide-area Internet of Things (IoT). As more and more IoT applications require large amounts of computing resources, cloud computing paradigm becomes one of the IoT's main enablers. Abundant resources can be used to execute computation-intensive IoT applications in the cloud. Moreover, edge computing has emerged to alleviate the high latency and low bandwidth problem of cloud computing. The integration of edge computing into LEO networks (which is called LEC in this paper) can improve satellite IoT network's performance. In addition, it is an effective way to support delay-sensitive and resourcehungry wide-area IoT applications. However, there are many technical challenges for LEC, which is different from edge computing in terrestrial networks. Therefore, we study LEC in depth and a novel system architecture is proposed. A LEC prototype system is implemented which verifies our design. The simulation result demonstrates that LEC can improve system performance compared with cloud computing in LEO networks.

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“…Availability. This functionality refers to the capacity of the system to keep itself accessible for every authorized party and not having any significant issues when transferring information from one side to another [47]. In the context of a Cyber-Physical System it becomes even more important, as the data flow among the nodes of the system must be guaranteed so as to keep the deployment working as planned.…”

Section: Proposed Frameworkmentioning

confidence: 99%

SEDIBLOFRA: A Blockchain-Based, Secure Framework for Remote Data Transfer in Unmanned Aerial Vehicles

et al. 2021

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Security attacks on Cyber-Physical Systems with operations that involve Unmanned Aerial Vehicles (UAVs) are a matter of great concern due to their major impact in the deployed systems, and a deal-breaker for their utilization; if a system is not perceived as secure, either it will not be used or its capabilities will be underutilized, regardless of how good they could be. This happens with particular intensity in missions with UAVs, as they can be hacked to tamper with their collected data or taken away by unauthorized parties. Development of security countermeasures is extensive both in theoretical and practical implementations, but the integration of these measures can be difficult, and performance might be affected because of it. This manuscript puts forward a SEDIBLOFRA (Secure, Distributed, Blockchainbased Framework) for remote maneuvering of UAVs, based on several distributed systems technologies that pile up to provide complementary functionalities. Asymmetric cryptography encrypts the data. Publish/Subscribe communications offer a way to enhance data delivery. Finally, blockchain provides a way to keep all the transferred data in a redundant and immutable manner. The proposed framework is also extensible to other kinds of unmanned vehicles, like Unmanned Ground Vehicles or Autonomous Underwater Vehicles.

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Intelligent Optimization of Availability and Communication Cost in Satellite-UAV Mobile Edge Caching System With Fault-Tolerant Codes

Cited by 32 publications

References 33 publications

Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture

Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture

Integrating Edge Computing into Low Earth Orbit Satellite Networks: Architecture and Prototype

SEDIBLOFRA: A Blockchain-Based, Secure Framework for Remote Data Transfer in Unmanned Aerial Vehicles

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