With the rapid growth of the Internet of Things paradigm,a tremendous number of applications and services that require minimal or no human involvement have been developed to enhance the quality of everyday life in var...With the rapid growth of the Internet of Things paradigm,a tremendous number of applications and services that require minimal or no human involvement have been developed to enhance the quality of everyday life in various domains.In order to ensure that such services provide their functionalities with the expected quality,it is essential tomeasure and evaluate this quality,which can be in some cases a challenging task due to the lack of human intervention and feedback.Recently,the vast majority of the Quality of Experience QoE works mainly address the multimedia services.However,the introduction of Internet of Things IoT has brought a new level of complexity into the field of QoE evaluation.With the emerging of the new IoT technologies such as machine to machine communication and artificial intelligence,there is a crucial demand to utilize additional evaluation metrics alongside the traditional subjective and objective human factors and network quality factors.In this systematic review,a comprehensive survey of the QoE evaluation in IoT is presented.It reviews the existing quality of experience definitions,influencing factors,metrics,and models.The review is concluded by identifying the current gaps in the literature and suggested some future research directions accordingly.展开更多
Sensor networks have been deployed widely for a variety of monitoring purposes.In the grid computing system,there are several grid monitoring tools that can be used to monitor the grid but most of them don't deal ...Sensor networks have been deployed widely for a variety of monitoring purposes.In the grid computing system,there are several grid monitoring tools that can be used to monitor the grid but most of them don't deal with sensor networks.Ganglia which is one of them,has three components Gmetad,Gmond,and a Web Interface.In this article,the proposed model has been enhanced to add one or a group of sensor networks to Ganglia by using Gmetric,and measure the quality of data that can be received by the grid and give the ability to sensor to check node's life,as well as measure the scalability of sensor networks in one node.展开更多
文摘With the rapid growth of the Internet of Things paradigm,a tremendous number of applications and services that require minimal or no human involvement have been developed to enhance the quality of everyday life in various domains.In order to ensure that such services provide their functionalities with the expected quality,it is essential tomeasure and evaluate this quality,which can be in some cases a challenging task due to the lack of human intervention and feedback.Recently,the vast majority of the Quality of Experience QoE works mainly address the multimedia services.However,the introduction of Internet of Things IoT has brought a new level of complexity into the field of QoE evaluation.With the emerging of the new IoT technologies such as machine to machine communication and artificial intelligence,there is a crucial demand to utilize additional evaluation metrics alongside the traditional subjective and objective human factors and network quality factors.In this systematic review,a comprehensive survey of the QoE evaluation in IoT is presented.It reviews the existing quality of experience definitions,influencing factors,metrics,and models.The review is concluded by identifying the current gaps in the literature and suggested some future research directions accordingly.
文摘Sensor networks have been deployed widely for a variety of monitoring purposes.In the grid computing system,there are several grid monitoring tools that can be used to monitor the grid but most of them don't deal with sensor networks.Ganglia which is one of them,has three components Gmetad,Gmond,and a Web Interface.In this article,the proposed model has been enhanced to add one or a group of sensor networks to Ganglia by using Gmetric,and measure the quality of data that can be received by the grid and give the ability to sensor to check node's life,as well as measure the scalability of sensor networks in one node.