Wireless Crowd Charging with Battery Aging Mitigation

TL;DR

This paper introduces a novel wireless crowd charging framework with network-wide protocols that incorporate a detailed battery aging model, significantly extending battery lifespan and improving energy balance in pervasive devices.

Contribution

It couples fine-grained battery aging modeling with wireless crowd charging protocols, a novel approach that enhances battery longevity and user QoE.

Findings

Protocols reduce battery capacity loss by up to 60.87%.

Proposed methods outperform existing protocols in energy balance.

Simulation results validate effectiveness in mitigating battery aging.

Abstract

Battery aging is one of the major concerns for the pervasive devices such as smartphones, wearables and laptops. Current battery aging mitigation approaches only partially leverage the available options to prolong battery lifetime. In this regard, we claim that wireless crowd charging via network-wide smart charging protocols can provide a useful setting for applying battery aging mitigation. In this paper, for the first time in the state-of-the-art, we couple the two concepts and we design a fine-grained battery aging model in the context of wireless crowd charging, and two network-wide protocols to mitigate battery aging. Our approach directly challenges the related contemporary research paradigms by (i) taking into account important characteristic phenomena in the algorithmic modeling process related to fine-grained battery aging properties, (ii) deploying ubiquitous computing and network-wide protocols for battery aging mitigation, and (iii) fulfilling the user QoE expectations with respect to the enjoyment of a longer battery lifetime. Simulation-based results indicate that the proposed protocols are able to mitigate battery aging quickly in terms of nearly 46.74-60.87% less reduction of battery capacity among the crowd, and partially outperform state-of-the-art protocols in terms of energy balance quality.