Wireless Crowd Charging with Battery Aging Mitigation
Tamoghna Ojha, Theofanis P. Raptis, Marco Conti, Andrea Passarella

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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
