Paper Info
Title
Optimal Power Control, Scheduling, and Energy Harvesting for Wireless Networked Control Systems
Abstract
Communication system design for wireless networked control systems (WNCSs) requires strict timing, reliability and lifetime guarantees despite limited battery resources and the non-idealities introduced by wireless networking such as delays. In this paper, we introduce radio frequency (RF) energy harvesting paradigm into WNCS framework for the first time in the literature. We study the optimal power control, energy harvesting and scheduling problem with the objective of providing maximum level of adaptivity under periodicity, delay and reliability requirements. We show that the power allocation problem is separable from the scheduling problem at optimality and provide the exact expression for optimal power control. The scheduling problem is then formulated as a mixed integer linear programming (MILP) problem and proven to be NP-Hard. For the scheduling, we propose polynomial-time heuristic algorithms motivated by the analogy between scheduling sensor nodes with energy harvesting requirements over time units and jobs with sequence dependent setup times on identical machines. We prove the theoretical worst-case bound for the performance of these heuristics. We show via extensive simulations that the proposed algorithms perform close-to-optimal and significantly better than Earliest Deadline First (EDF) algorithm in terms of adaptivity, delay, reliability and average runtime.
Year
DOI
Venue
2021
10.1109/TCOMM.2020.3042792
IEEE Transactions on Communications
Keywords
DocType
Volume
Wireless networked control systems,RF energy harvesting,adaptivity,power control,scheduling
Journal
69
Issue
ISSN
Citations 
3
0090-6778
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Goksu Karadag101.01
Muhammad Shahid Iqbal232.09
Sinem Coleri Ergen355.59