Uncertainty-Aware Collaborative Allocation and Optimization for Green-IoT

With the progress of wireless sensor technology, recent developments in energy-harvesting wireless sensor and actuator networks (WSANs) bring the potential possibilities for various control related applications requiring high real-time performance. However, in the collaborative optimization design considering the energy efficiency and control stability, the effects of the packet dropout and time delay are not frequently concerned in existing works. In this paper, a novel three-step joint algorithm is proposed through energy management analysis and control strategy design. First, the optimal transmission power and the energy allocation of sensor and controller are acquired based on the conditions of harvesting, consumption and remaining energies. After that, a backward iteration is used to obtain the control gain for each sampling interval. Finally, a linear function, determined by the previous control strategies and system states, is formulated to derived the optimal control strategy.