Dynamic channel allocation in electromagnetic nanonetworks for high resolution monitoring of plants

Afsharinejad, Armita and Davy, Alan and Jennings, Brendan (2016) Dynamic channel allocation in electromagnetic nanonetworks for high resolution monitoring of plants. Nano Communication Networks, 7. pp. 2-16. ISSN 1878-7789

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Abstract

We investigate techniques to enable communication in the THz band between graphene-based nanoscale devices and microscale network components for agricultural crop-monitoring applications. The properties of THz communications, in particular sensitivity to moisture levels on the communications path and attenuation by obstacles (e.g., leaves) mean that achieving a desired level of throughput of monitoring data can be difficult. Using a simplified model of plant structure and typical plant moisture patterns, we analyze the performance of four frequency selection strategies in terms of throughput and energy utilization for varying numbers of nano and microscale devices, moisture concentration patterns and plant leaf densities. We find that a Two-Phase optimization strategy for frequency selection performs best in a wide range of operational conditions and that leaf density has a significant impact on achievable throughput. Our plant model could serve as a useful basis for planning the necessary concentration of nano and microscale devices to deploy on particular crop types in order to meet given network performance targets.

Item Type:	Article
Additional Information:	Funding Information: This work was funded by: (1) the Irish Higher Education Authority under the program for Research in Third Level Institutions (PRTLI) cycle 5, which is co-funded by the European Regional Development Fund (ERDF) , via the Telecommunications Graduate Initiative ( http://www.tgi.ie ); and (2) Science Foundation Ireland , via the FAME strategic research cluster (grant no. 08/SRC/I1403 ) and the CONNECT research centre (grant no. 13/RC/1977 ). Publisher Copyright: © 2016
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1705
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:08
Last Modified:	11 Aug 2023 19:20
URI:	http://repository-testing.wit.ie/id/eprint/4249

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