Finite Time Privacy Preserving Quantized Average Consensus with Transmission Stopping

TL;DR

This paper introduces a privacy-preserving quantized average consensus algorithm for energy-efficient wireless networks that ensures data privacy and transmission stopping, suitable for battery-powered devices.

Contribution

It proposes a novel finite transmission event-triggered algorithm that guarantees privacy preservation and energy efficiency in wireless consensus networks.

Findings

Algorithm guarantees privacy under specific topological conditions.

Ensures energy-efficient communication with transmission stopping.

Outperforms existing methods in privacy and energy conservation.

Abstract

Due to their flexibility, battery powered or energy-harvesting wireless networks are employed in diverse applications. Securing data transmissions between wireless devises is of critical importance in order to avoid privacy-sensitive user data leakage. In this paper, we focus on the scenario where some nodes are curious (but not malicious) and try to identify the initial states of one (or multiple) other nodes, while some nodes aim to preserve the privacy of their initial states from the curious nodes. We present a privacy preserving finite transmission event-triggered quantized average consensus algorithm. Its operation is suitable for battery-powered or energy-harvesting wireless network since it guarantees (i) efficient (quantized) communication, and (ii) transmission ceasing (which allows preservation of available energy). Furthermore, we present topological conditions under which the proposed algorithm allows nodes to preserve their privacy. We conclude with a comparison of our algorithm against other algorithms in the existing literature.