The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Neste artigo, propomos um novo Híbrido-Hierárquico espacial-aéreo-Terrestre Centrado na Borda (H2TEC) para as redes integradas de Internet das Coisas (IoT) espaço-ar. (H2TEC) compreende veículos aéreos não tripulados (UAVs) que atuam como nós móveis de neblina para fornecer os serviços necessários aos nós terminais (TNs) em cooperação com os satélites. TNs em (H2TEC) transferem suas tarefas geradas para os UAVs para processamento posterior. Devido ao orçamento limitado de energia dos TNs, um novo protocolo de alocação de tarefas, denominado TOP, é proposto para minimizar o consumo de energia dos TNs, garantindo ao mesmo tempo a probabilidade de interrupção e a confiabilidade da rede para a qual a taxa de transmissão dos TNs é otimizada. O TOP também aproveita a coleta de energia pela qual os satélites de órbita terrestre baixa transferem energia para os UAVs quando a energia restante dos UAVs está abaixo de um limite predefinido. Para este fim, a potência colhida dos UAVs é otimizada juntamente com o tempo de colheita correspondente para que os UAVs possam melhorar o rendimento da rede através do processamento de mais bits. Os resultados numéricos revelam que o TOP supera o método de linha de base em situações críticas em que é necessária mais energia para processar a tarefa. Verifica-se também que, mesmo em tais situações, o mecanismo de recolha de energia fornecido no TOP produz um rendimento de rede mais eficiente.
Abbas JAMALIPOUR
The University of Sydney
Forough SHIRIN ABKENAR
The University of Sydney
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Abbas JAMALIPOUR, Forough SHIRIN ABKENAR, "Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 2, pp. 116-130, February 2022, doi: 10.1587/transcom.2021CEI0001.
Abstract: In this paper, we propose a novel Hybrid-Hierarchical spatial-aerial-Terrestrial Edge-Centric (H2TEC) for the space-air integrated Internet of Things (IoT) networks. (H2TEC) 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 (H2TEC) 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021CEI0001/_p
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@ARTICLE{e105-b_2_116,
author={Abbas JAMALIPOUR, Forough SHIRIN ABKENAR, },
journal={IEICE TRANSACTIONS on Communications},
title={Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture},
year={2022},
volume={E105-B},
number={2},
pages={116-130},
abstract={In this paper, we propose a novel Hybrid-Hierarchical spatial-aerial-Terrestrial Edge-Centric (H2TEC) for the space-air integrated Internet of Things (IoT) networks. (H2TEC) 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 (H2TEC) 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.},
keywords={},
doi={10.1587/transcom.2021CEI0001},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Efficient Task Allocation Protocol for a Hybrid-Hierarchical Spatial-Aerial-Terrestrial Edge-Centric IoT Architecture
T2 - IEICE TRANSACTIONS on Communications
SP - 116
EP - 130
AU - Abbas JAMALIPOUR
AU - Forough SHIRIN ABKENAR
PY - 2022
DO - 10.1587/transcom.2021CEI0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2022
AB - In this paper, we propose a novel Hybrid-Hierarchical spatial-aerial-Terrestrial Edge-Centric (H2TEC) for the space-air integrated Internet of Things (IoT) networks. (H2TEC) 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 (H2TEC) 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.
ER -