Paper Info
Title
Green Data-Collection From Geo-Distributed IoT Networks Through Low-Earth-Orbit Satellites
Abstract
As a critical supplementary to terrestrial communication networks, low-Earth-orbit (LEO) satellite-based communication networks have been gaining growing attention in recent years. In this paper, we focus on data collection from geo-distributed Internet-of-Things (IoT) networks via LEO satellites. Normally, the power supply in IoT data-gathering gateways is a bottleneck resource that constrains the overall amount of data upload. Thus, the challenge is how to collect the data from IoT gateways through LEO satellites under time-varying uplinks in an energy-efficient way. To address this problem, we first formulate a novel optimization problem, and then propose an online algorithm based on Lyapunov optimization theory to aid green data-upload for geo-distributed IoT networks. The proposed approach is to jointly maximize the overall amount of data uploaded and minimize the energy consumption, while maintaining the queue stability even without the knowledge of arrival data at IoT gateways. We finally evaluate the performance of the proposed algorithm through simulations using both real-world and synthetic data traces. Simulation results demonstrate that the proposed approach can achieve high efficiency on energy consumption and significantly reduce queue backlogs compared with an offline formulation and a greedy “Big-Backlog-First” algorithm.
Year
DOI
Venue
2019
10.1109/TGCN.2019.2909140
IEEE Transactions on Green Communications and Networking
Keywords
DocType
Volume
Logic gates,Satellites,Low earth orbit satellites,Uplink,Internet of Things,Data collection,Energy consumption
Journal
3
Issue
Citations 
PageRank 
3
6
0.41
References 
Authors
0
5
Name
Order
Citations
PageRank
Huawei Huang122328.55
Song Guo23431278.71
Weifa Liang31676134.75
Kun Wang47110.25
Albert Y. Zomaya55709454.84