Research Article
A new algorithm and routing protocol based on convolutional codes using TCNet: Trellis Coded Network
@ARTICLE{10.4108/eai.6-4-2018.154392, author={Diogo F. Lima Filho and Jos\^{e} Roberto Amazonas}, title={A new algorithm and routing protocol based on convolutional codes using TCNet: Trellis Coded Network}, journal={EAI Endorsed Transactions on Internet of Things}, volume={3}, number={12}, publisher={EAI}, journal_a={IOT}, year={2017}, month={10}, keywords={Sensor Network, Convolutional codes, Trellis Decoder, Protocols, Encoded networks, Finite State Machine}, doi={10.4108/eai.6-4-2018.154392} }- Diogo F. Lima Filho
José Roberto Amazonas
Year: 2017
A new algorithm and routing protocol based on convolutional codes using TCNet: Trellis Coded Network
IOT
EAI
DOI: 10.4108/eai.6-4-2018.154392
Abstract
Currently emerging technologies have taken advantage of the possibility of communication with the World Wide Web to expand to all applications of this technology, among them the Internet of Things – IoT. This work proposes the implementation of new packets forwarding algorithms using the concept of convolutional codes. The results obtained by means of extensive simulations show gains in terms of latency and energy consumption reduction compared to the AODV protocol. The implementation complexity is extremely low and compatible with the few hardware resources usually available in the elements of a wireless sensor network (WSN). This research uses Finite State Machine (FSM) to get the networks nodes, obtained from settings with Mealy machine – (MM) due to the low complexity of (“XOR” gates and "shift registers"), eliminating the use of any routing tables by means of Trellis decoding. The route can be chosen based on criteria of Quality of Service (Qos) – aware routing protocols.
Copyright © 2017 Diogo F. Lima Filho and José Roberto Amazonas, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
