Delay and Power consumption Analysis for Queue State Dependent Service Rate Control in WirelessHart System

TL;DR

This paper presents a bio-inspired algorithm for workload-aware service rate control in WirelessHart systems, optimizing delay and power consumption by analyzing delay costs and modeling departure processes.

Contribution

It introduces an exact departure process model and a novel bio-intelligence based algorithm for delay-constrained power optimization in wireless automation devices.

Findings

Accurate delay cost analysis for the proposed control scheme

Exact departure process model for delay evaluation

Effective power reduction under delay constraints

Abstract

To solve the problem of power supply limitation of machines working in wireless industry automation, we evaluated the workload aware service rate control design implanted in the medium access control component of these small devices and proposed a bio-intelligence based algorithm to optimise the design regarding the delay constraint while minimizing power consumption. To achieve this, we provide an accurate analysis of the delay cost of this design and for the first time pinpoint an exact departure process model in order to evaluate the overall delay cost in consideration of the medium access time.