DVSP: Dynamic Virtual Sensor Provisioning in Sensor-Cloud-Based Internet of Things

Virtual sensor provisioning is an essential process in sensor-cloud-based Internet of Things (IoT), and it is responsible for the efficient utilization of physical resources in the system. However, the existing schemes for virtual sensor provisioning do not provide an optimal solution while consider...

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Bibliographic Details
Published in:IEEE internet of things journal 2019-06, Vol.6 (3), p.5265-5272
Main Authors: Ojha, Tamoghna, Misra, Sudip, Raghuwanshi, Narendra Singh, Poddar, Hitesh
Format: Article
Language:English
Subjects:
Cloud computing
Computer simulation
Correlation
Energy consumption
Energy efficiency
Game theory
Internet of Things
Iterative methods
Middleware
Nodes
Power efficiency
Provisioning
Quality of service
Sensors
sensor–cloud
virtual sensor
Virtual sensors
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Summary:Virtual sensor provisioning is an essential process in sensor-cloud-based Internet of Things (IoT), and it is responsible for the efficient utilization of physical resources in the system. However, the existing schemes for virtual sensor provisioning do not provide an optimal solution while considering overall demand of multiple users/services. As a result, redundant sensor nodes are provisioned, which leads to increased energy consumption and reduced network lifetime. In this paper, we present a dynamic virtual sensor provisioning scheme for sensor-cloud-based IoT applications to maintain the energy efficiency of the deployed physical sensor nodes while maintaining the quality of service (QoS) of the service requests. We model the interaction between the cloud service provider and the sensor owners using the single-leader multifollower Stackelberg game. The players of the game exploit the spatial correlation among the on-field sensor nodes, and consequently, the oligopoly created between the players is dynamically updated. We show the existence of a Stackelberg-Nash-Cournot equilibrium in the game. We evaluated the performance of the proposed scheme through extensive simulations. The results depict improvement in the energy efficiency of the nodes as well as increase in the lifetime of the deployed on-fields sensors in the proposed scheme compared to benchmark schemes. We also plot the average number of QoS violations in each iteration for the user requests.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2019.2899949