TY - GEN
T1 - Modulated Molecular Channel Coding Scheme for Multi-Bacterial Transmitters
AU - Martins, Daniel P.
AU - Drohan, Jennifer
AU - Foley, Sarah
AU - Coffey, Lee
AU - Balasubramaniam, Sasitharan
N1 - Funding Information:
This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and the Department of Agriculture, Food and Marine on behalf of the Government of Ireland under Grant Number [16/RC/3835] - VistaMilk.
Publisher Copyright:
© 2021 ACM.
PY - 2021/11/15
Y1 - 2021/11/15
N2 - Synthetic biology has utilised engineering concepts for the rational design of biocompatible systems. Here we utilise two bacterial populations to create a modulated molecular channel coding scheme for molecular communications systems. We believe this approach can drive the development of more reliable biocompatible molecular communications systems to apply in the dairy industry.
AB - Synthetic biology has utilised engineering concepts for the rational design of biocompatible systems. Here we utilise two bacterial populations to create a modulated molecular channel coding scheme for molecular communications systems. We believe this approach can drive the development of more reliable biocompatible molecular communications systems to apply in the dairy industry.
KW - Channel coding
KW - Engineered bacterial populations
KW - Molecular communications
UR - http://www.scopus.com/inward/record.url?scp=85120917955&partnerID=8YFLogxK
U2 - 10.1145/3485730.3494039
DO - 10.1145/3485730.3494039
M3 - Conference contribution
AN - SCOPUS:85120917955
T3 - SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems
SP - 610
EP - 615
BT - SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery (ACM)
T2 - 19th ACM Conference on Embedded Networked Sensor Systems, SenSys 2021
Y2 - 15 November 2021 through 17 November 2021
ER -