Dual-Mode Wireless Devices for Adaptive Pull and Push-Based Communication

TL;DR

This paper presents a dual-mode wireless communication framework combining pull and push strategies, enhancing energy efficiency and reliability for timely data delivery in wireless devices.

Contribution

It introduces a unified time-frame structure, a wake-up radio, and a tailored MAC protocol for adaptive, energy-efficient push and pull communication in wireless systems.

Findings

Reduces energy consumption by up to 30%

Maintains high success probability for anomaly reports and query responses

Characterizes trade-offs between push and pull traffic success probabilities

Abstract

This paper introduces a dual-mode communication framework for wireless devices that integrates query-driven (pull) and event-driven (push) transmissions within a unified time-frame structure. Devices typically respond to information requests in pull mode, but if an anomaly is detected, they preempt the regular response to report the critical condition. Additionally, push-based communication is used to proactively send critical data without waiting for a request. This adaptive approach ensures timely, context-aware, and efficient data delivery across different network conditions. To achieve high energy efficiency, we incorporate a wake-up radio mechanism and we design a tailored medium access control (MAC) protocol that supports data traffic belonging to the different communication classes. A comprehensive system-level analysis is conducted, accounting for the wake-up control operation and evaluating three key performance metrics: the success probability of anomaly reports (push traffic), the success probability of query responses (pull traffic) and the total energy consumption. Numerical results characterize the system's behavior and highlight the inherent trade-off in success probabilities between push- and pull-based traffic as a function of allocated communication resources. Our analysis demonstrates that the proposed approach reduces energy consumption by up to 30% compared to a traditional approach, while maintaining reliable support for both communication paradigms.