Novel IoT Applications Enabled by TCNet: Trellis Coded Network

Diogo F. Lima Filho, José Roberto Amazonas

Abstract

This work presents new results in routing in Wireless Sensor Networks, an important Infrastructure for the Internet of Things architecture, using the new concept of Trellis Coded Network - TCNet. The TCNet is based on the concept of convolutional codes and trellis decoder, that allow routing of data collected by randomly distributed micro sensors in ad hoc networks scenarios. This model uses Mealy Machines or low complexity Finite State Machines network nodes (“XOR” gates and shift registers), eliminating the use of any routing tables enabling the implementation of important IoT applications as Sensor Network Virtualization and in scenarios where clusters of nodes allow covering large areas of interest where the sensors are distributed. The application of TCNet algorithm concepts in cases as VSNs and clustering is facilitated due to the flexibility of TCNet to implement route management, becoming a tool to be adopted by Sensor Infrastructure Providers aiming to deploy, for example, QoS-aware end-to-end services.

Download


Paper Citation


in Harvard Style

Filho D. and Roberto Amazonas J. (2018). Novel IoT Applications Enabled by TCNet: Trellis Coded Network.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 620-626. DOI: 10.5220/0006772406200626


in Bibtex Style

@conference{iceis18,
author={Diogo F. Lima Filho and José Roberto Amazonas},
title={Novel IoT Applications Enabled by TCNet: Trellis Coded Network},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={620-626},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006772406200626},
isbn={978-989-758-298-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Novel IoT Applications Enabled by TCNet: Trellis Coded Network
SN - 978-989-758-298-1
AU - Filho D.
AU - Roberto Amazonas J.
PY - 2018
SP - 620
EP - 626
DO - 10.5220/0006772406200626