Assessing Routing Algorithms for Payment Channel Networks

Author:

Lobmaier David1,Konlechner Rafael1,Schulte Stefan2,Weber Ingo3

Affiliation:

1. TU Wien, Vienna, Austria

2. Christian Doppler Laboratory for Blockchain Technologies for the Internet of Things, Institute for Data Engineering, Hamburg University of Technology, Hamburg, Germany

3. Technical University of Munich & Fraunhofer Gesellschaft, Munich, Germany

Abstract

Payment Channel Networks (PCNs) are a promising approach to overcome scalability issues of blockchains. In order to achieve efficient payments in PCNs, it is necessary to route transactions between a payer and a payee. Especially in large-scale PCNs, multi-hop routing becomes necessary, since transactions need to be relayed by nodes. For this, a scalable routing algorithm is needed, which fits the individual objectives of PCN users. In this paper, we study whether routing protocols from the field of Wireless Sensor Networks (WSNs) can be applied in PCNs. To this end, we first derive requirements for routing in PCNs, select suitable approaches, and analyze to which degrees they perform well and meet the requirements. We adapt selected protocols and evaluate them with regard to the lengths of payment paths, fees, and success ratio.

Publisher

Association for Computing Machinery (ACM)

Reference49 articles.

1. TERP: A Trust and Energy Aware Routing Protocol for Wireless Sensor Network

2. Secure routing for internet of things: A survey

3. Amitanand S. Aiyer, Lorenzo Alvisi, Allen Clement, Mike Dahlin, Jean-Philippe Martin, and Carl Porth. 2005. BAR Fault Tolerance for Cooperative Services. In 20th ACM Symposium on Operating Systems Principles. ACM, 45–58.

4. Routing in Wireless Sensor Networks Using Optimization Techniques: A Survey

5. Abd Al-Basset Al-Mamou and Houda Labiod. 2007. ScatterPastry: An overlay routing using a DHT over wireless sensor networks. In International Conference on Intelligent Pervasive Computing. IEEE, 274–279.

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