Age-Energy Analysis in Multi-Source Systems with Wake-up Control and Packet Management

TL;DR

This paper analyzes the balance between data freshness and energy consumption in multi-source systems with sleep modes, using stochastic hybrid systems to evaluate different policies and strategies for optimizing performance.

Contribution

It introduces a comprehensive analysis of age-energy trade-offs in multi-source systems with wake-up control, comparing multiple sleep policies and packet preemption strategies using SHS.

Findings

N-policy achieves the best trade-off performance.

LCFS-S is ideal for energy-saving with low arrival rates.

LCFS-Q suits scenarios prioritizing data freshness.

Abstract

In recent years, there has been an increasing focus on real-time mobile applications, such as news updates and weather forecast. In these applications, data freshness is of significant importance, which can be measured by age-of-synchronization (AoS). At the same time, the reduction of carbon emission is increasingly required by the communication operators. Thus, how to reduce energy consumption while keeping the data fresh becomes a matter of concern. In this paper, we study the age-energy trade-off in a multi-source single-server system, where the server can turn to sleep mode to save energy. We adopt the stochastic hybrid system (SHS) method to analyze the average AoS and power consumption with three wake-up policies including N-policy, single-sleep policy and multi-sleep policy, and three packet preemption strategies, including Last-Come-First-Serve with preemption-in-Service (LCFS-S), LCFS with preemption-only-in-Waiting (LCFS-W), and LCFS with preemption-and-Queueing (LCFS-Q). The trade-off performance is analyzed via both closed-form expressions and numerical simulations. It is found that N-policy attains the best trade-off performance among all three sleep policies. Among packet management strategies, LCFS-S is suitable for scenarios with high requirements on energy saving and small arrival rate difference between sources. LCFS-Q is suitable for scenarios with high requirements on information freshness and large arrival rate difference between sources.