Joint Task Offloading and Resource Allocation for IoT Edge Computing With Sequential Task Dependency

Incorporating mobile-edge computing (MEC) in the Internet of Things (IoT) enables resource-limited IoT devices to offload their computation tasks a nearby edge server. In this article, we investigate an system assisted by MEC technique with its task subjected sequential dependency, which is critical for video stream processing and other intelligent applications. To minimize energy consumption per device while limiting delay, offloading strategy, communication resource, resource are optimized jointly under both slow fast-fading channels. fading channels, optimization problem formulated, nonconvex involves one integer variable. solve challenging problem, decompose it as 1-D search decision given. Through mathematical manipulations, transformed be convex one, shown solvable only simple Golden method. optimal online policies depending on instant channel state derived even though they entangled. addition, proved that policy will converge offline when coherence time low, can help save extra complexity. Numerical results verify correctness our analysis effectiveness proposed strategies over existing methods.