Joint Multioperator Virtual Network Sharing and Caching in Energy Harvesting-Aided Environmental Internet of Things

Environmental monitoring is one of the fundamental applications of the Internet of Things (IoT), and caching in energy harvesting-aided IoT is a promising solution to handle the energy charging of the IoT nodes in the vast monitoring area. However, the growth of the requirements for monitoring area...

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Bibliographic Details
Published in:IEEE internet of things journal 2020-08, Vol.7 (8), p.7689-7701
Main Authors: Cheng, Yulun, Zhang, Jun, Yang, Longxiang, Zhu, Chenming, Zhu, Hongbo
Format: Article
Language:English
Subjects:
Algorithms
Caching
Computer simulation
Energy
Energy harvesting
Energy transmission
Environmental monitoring
Game theory
Games
Incentives
Internet of Things
Internet of Things (IoT)
Knapsack problem
Linear programming
Monitoring
multiple operators (OP)
Resource management
Stackelberg game
Transmitters
Virtual networks
Virtualization
Wireless communication
wireless virtualization
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Summary:Environmental monitoring is one of the fundamental applications of the Internet of Things (IoT), and caching in energy harvesting-aided IoT is a promising solution to handle the energy charging of the IoT nodes in the vast monitoring area. However, the growth of the requirements for monitoring area and accuracy brings huge infrastructure costs to the network operators (OP), especially for the multiple OPs scenario. In this article, we utilize wireless virtualization to enable the IoT node sharing between multiple OPs in cache-enabled energy harvesting-aided IoT, so as to improve the utility of the OPs. A Stackelberg game is formulated to jointly handle the IoT node sharing and energy transmission incentives between OPs and energy transmitters. Then, the knapsack problem, convex and linear programming are utilized to approximate the game through problem transformation and derivations. On the basis of that, an alternative direction algorithm is proposed to solve the equilibrium efficiently. The simulation results verify the advantages of the proposed algorithm in utility improvement and fairness maintenance between multiple OPs.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2020.2988321