Mobi IoST: Mobility Aware Cloud Fog Edge IoT Collaborative Framework for Time Critical Applications
The design of mobility aware framework for edge/fog computing for IoT systems with back end cloud is gaining research interest. In this paper, a mobility driven cloud fog edge collaborative real time framework, Mobi IoST, has been proposed, which has IoT, Edge, Fog and Cloud layers and exploits the mobility dynamics of the moving agent. The IoT and edge devices are considered to be the moving agents in a 2 D space, typically over the road network. The framework analyses the spatio temporal mobility data (GPS logs) along with the other contextual information and employs machine learning algorithm to predict the location of the moving agents (IoT and Edge devices) in real time. The accumulated spatio temporal traces from the moving agents are modelled using probabilistic graphical model. The major features of the proposed framework are: (i) hierarchical processing of the information using IoT Edge Fog Cloud architecture to provide better QoS in real time applications, (ii) uses mobility information for predicting next location of the agents to deliver processed information, and (iii) efficiently handles delay and power consumption. The performance evaluations yield that the proposed Mobi IoST framework has approximately 93% accuracy and reduced the delay and power by approximately 23 26% and 37 41% respectively than the existing mobility aware task delegation system.
IEEE Transactions on Network Science and Engineering