Multi-level video quality services and security guarantees based on compressive sensing in sensor-cloud system

Abstract

The booming development of the Internet of Things has led to the emergence of novel application systems such as the sensor-cloud system. Numerous data (especially images and videos) are collected, processed, transmitted and stored via the cooperation between the sensor networks and the cloud computing every day, so there exist three main issues to be solved imminently in the sensor-cloud system. (1) Data security: how to ensure the security of required data from the perspective of cloud service users. (2) Effective space utilization: how to economize the cloud storage space as much as possible from the view of cloud service providers. (3) Multi-level quality services and security guarantees: different quality services and security guarantees should be considered for different levels of users, while maximizing financial benefits of sensor network providers and cloud service providers. In this paper, a novel scheme based on compressive sensing with the usage of the private cloud is proposed for three diverse levels of cloud service users to enjoy completely diverse video quality services and security guarantees in the sensor-cloud system. Theoretical analyses and experimental simulations show that the proposed scheme can balance the relationship among sensor network providers, cloud service providers and cloud service users well.