Towards Robust Access for Internet of Things in Uncertain/Adverse Communication Environment
Vladimir Marbukh · 2019
Fog computing is an emerging architecture, which extends the Cloud computing paradigm to the edge of the network, enabling new applications and services, including Internet of Things (IoT). End users have certain computation tasks, which can be completed either locally on the end device or remotely on an accessible Fog node via computation offloading. The access is wireless with severe physical limitations on the access network capacity to sustain stringent latency requirements for streaming and real-time applications. The paper discusses providing robust access by maintaining connectivity to several Fog nodes under exogenous communication uncertainty/adversity. We propose leveraging methodologies and results on robust optimization for modelling exogenous communication uncertainty/adversity and optimization of the corresponding performance/robustness tradeoffs by controlling access redundancy. We suggest decentralized approximation for the corresponding robust solution. Future research should address accuracy and possible improvements to this approximation. Since level of exogenous uncertainty/ adversity may vary, we plan to investigate application of AI to evaluation of the exogenous threats and adaptation of the corresponding tradeoffs to the threat levels.