Mobile Ad hoc NETwork (MANET) characteristics such as limited resources, shared channel, unpredictable mobility, improper load balancing, and variation in signal strength affect the routing of real-time multimedia data that requires Quality of Service (QoS) provisioning.
The high decoding frame rate I-MPOCCTE is mainly due to the opportunity for cloud computing, while maintaining low computational complexity and improving the efficiency of the multimedia data decoding and playback quality to provide effective protection.
In fact, the systems adopted for assessing the performances of traditional voice-based transmission systems are usually inadequate for evaluating the quality of multimedia data.
This architecture allows to define classes of services with different quality attributes concerning the multimedia data delivery.
The multimedia data coding of cloud devices will have a certain quality of residuals.
In [43] Hossain, et al. dynamically assess three quality attributes for the detection and identification of human presence in multimedia monitoring systems, where-as Rodríguez and Riveill [44] present data quality in relation to e-Health monitoring systems.
From formula (7), there is a direct relationship between data quality reference residuals, cloud size, video frame size, and image pixel size of the cloud encoded multimedia.
In real-time multimedia applications, the most problems are how to store, process, and transport the multimedia data with cloud, how to optimize the cloud platform to satisfy the user demand, as well as how to provide the quality of service (QoS) guarantees by combining cloud platform and wireless sensor networks (WSNs).
The transmission of multimedia data depends on a routing protocol to determine stable and resource-efficient path, and to provide varying levels of Quality-of-Service (QoS /Quality-of-Experience (QoE) guarantee for multimedia.
b Multimedia data transmission delay.
