# ICNLoWPAN -- Named-Data Networking for Low Power IoT Networks

## TL;DR

This paper presents ICNLoWPAN, an adaptation of Named-Data Networking for low power IoT networks, optimizing packet size and resource use on constrained links.

## Contribution

It introduces a convergence layer for NDN tailored to low power lossy links, including compression schemes and compatibility with 6LoWPAN.

## Key findings

- Stateful compression reduces NDN packet size by over 70%.
- ICNLoWPAN saves 33% of transmission resources compared to NDN.
- ICNLoWPAN reduces resource use by about 20% over 6LoWPAN.

## Abstract

Information Centric Networking is considered a promising communication technology for the constrained IoT, but NDN was designed only for standard network infrastructure. In this paper, we design and evaluate an NDN convergence layer for low power lossy links that (1) augments the NDN stateful forwarding with a highly efficient name eliding, (2) devises stateless compression schemes for standard NDN use cases, (3) adapts NDN packets to the small MTU size of IEEE 802.15.4, and (4) generates compatibility with 6LoWPAN so that IPv6 and NDN can coexist on the same LoWPAN links. Our findings indicate that stateful compression can reduce the size of NDN data packets by more than 70% in realistic examples. Our experiments show that for common use cases ICNLoWPAN saves 33% of transmission resources over NDN, and about 20% over 6LoWPAN.