Vehicle-to-Vehicle Charging Coordination over Information Centric Networking

TL;DR

This paper proposes an ICN-based protocol for vehicle-to-vehicle charging coordination that enhances flexibility, fault tolerance, and reduces communication latency compared to traditional centralized methods.

Contribution

It introduces a novel V2V charging coordination protocol using Information Centric Networking to improve efficiency and robustness in EV charging networks.

Findings

93% reduction in protocol completion time

Effective under extreme packet loss conditions

Enhanced flexibility and fault tolerance

Abstract

Cities around the world are increasingly promoting electric vehicles (EV) to reduce and ultimately eliminate greenhouse gas emissions. For example, the city of San Francisco aims to increase the number of EVs from tens of thousands to over quarter of a million by 2025. This huge number of EVs will put unprecedented stress on the power grid. To efficiently serve the increased charging load, these EVs need to be charged in a coordinated fashion. One promising coordination strategy is vehicle-to-vehicle (V2V) charging coordination, enabling EVs to sell their surplus energy in an ad-hoc, peer to peer manner. Enabling V2V charging coordination requires new communication network protocols that can facilitate such charging coordination in a peer-to-peer fashion. This paper introduces an Information Centric Networking (ICN)-based protocol to support ad-hoc V2V charging coordination (V2V-CC). Our evaluations demonstrate that V2V-CC can provide added flexibility, fault tolerance, and reduced communication latency than a conventional centralized cloud based approach. We show that V2V-CC can achieve a 93\% reduction in protocol completion time compared to a conventional approach. We also show that V2V-CC also works well under extreme packet loss, making it ideal for V2V charging coordination.