TY - GEN
T1 - Frequency selection strategies under varying moisture levels in wireless nano-networks
AU - Afsharinejad, Armita
AU - Davy, Alan
AU - Jennings, Brendan
PY - 2014
Y1 - 2014
N2 - Graphene-based nano-antennas can enable wireless communications between nano-scale devices. Large numbers of nano-devices can be connected to form networks enabling a variety of applications, such as agricultural crop monitoring. Graphennas will resonate in the THz band, so high data rates are theoretically achievable. However, properties of THz communications, notably the sensitivity to moisture levels in the communication path, strongly affect the achievable data rates, so frequency selection becomes a challenge. This paper considers a crop monitoring nano-networking application in which moisture levels can vary significantly in line with crop monitoring schedules. A number of frequency selection strategies for clusters of nano-devices that adapt to prevailing moisture levels are proposed. These strategies aim to optimize the overall transmission capacity of a nanonetwork based on the limitations of the channel condition. Results of a simulation study show that the diffierent selection strategies provide diffierent levels of trade-off between efficient use of the available spectrum, total power consumption of the nano-devices, and the total transmission capacity.
AB - Graphene-based nano-antennas can enable wireless communications between nano-scale devices. Large numbers of nano-devices can be connected to form networks enabling a variety of applications, such as agricultural crop monitoring. Graphennas will resonate in the THz band, so high data rates are theoretically achievable. However, properties of THz communications, notably the sensitivity to moisture levels in the communication path, strongly affect the achievable data rates, so frequency selection becomes a challenge. This paper considers a crop monitoring nano-networking application in which moisture levels can vary significantly in line with crop monitoring schedules. A number of frequency selection strategies for clusters of nano-devices that adapt to prevailing moisture levels are proposed. These strategies aim to optimize the overall transmission capacity of a nanonetwork based on the limitations of the channel condition. Results of a simulation study show that the diffierent selection strategies provide diffierent levels of trade-off between efficient use of the available spectrum, total power consumption of the nano-devices, and the total transmission capacity.
KW - Environmental monitoring
KW - Frequency selection
KW - Graphene
KW - Nano-networks
UR - http://www.scopus.com/inward/record.url?scp=84905662365&partnerID=8YFLogxK
U2 - 10.1145/2619955.2619980
DO - 10.1145/2619955.2619980
M3 - Conference contribution
AN - SCOPUS:84905662365
SN - 1595930361
SN - 9781595930361
T3 - Proceedings of the 1st ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2014
BT - Proceedings of the 1st ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2014
PB - Association for Computing Machinery
T2 - 1st ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2014
Y2 - 13 May 2014 through 14 May 2014
ER -