TY - GEN
T1 - UAVs as Relay Nodes
T2 - 2024 International Conference on Military Communication and Information Systems, ICMCIS 2024
AU - Guffens, Eliott
AU - Le Nir, Vincent
AU - Lauwens, Ben
AU - Becquaert, Mathias
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In scenarios where Relay Nodes (RNs) need to be deployed to restore the connectivity of a partitioned wireless network, a positioning method limiting the number of RNs required is necessary. Optimally, the method must take into account the differences of transmission ranges between the different nodes - or the heterogeneity in range of the network. In particular, Unmanned Aerial Vehicles (UAVs) are considered to be great candidates as RNs with their high mobility and ability to be quickly deployed. However, their radio parameters will be different from the Initial Nodes (INs) of the network and there will be a diversity in propagation channel. Plus, even the network might be heterogeneous. With a mobile initial network, the placement method also have to be stable in terms of RN positions and number with respect to IN displacements. This paper introduces an approach to modify an effective RN placement algorithm for homogeneous networks to create a new algorithm capable of managing heterogeneity in the networks. The new algorithm is the Barycenter-focused Relay Positioning for Heterogeneous Wireless Networks (BRHEN) algorithm. In addition to lower the number of RNs compared to the initial algorithm, it also enhances its stability with respect to small IN displacements.
AB - In scenarios where Relay Nodes (RNs) need to be deployed to restore the connectivity of a partitioned wireless network, a positioning method limiting the number of RNs required is necessary. Optimally, the method must take into account the differences of transmission ranges between the different nodes - or the heterogeneity in range of the network. In particular, Unmanned Aerial Vehicles (UAVs) are considered to be great candidates as RNs with their high mobility and ability to be quickly deployed. However, their radio parameters will be different from the Initial Nodes (INs) of the network and there will be a diversity in propagation channel. Plus, even the network might be heterogeneous. With a mobile initial network, the placement method also have to be stable in terms of RN positions and number with respect to IN displacements. This paper introduces an approach to modify an effective RN placement algorithm for homogeneous networks to create a new algorithm capable of managing heterogeneity in the networks. The new algorithm is the Barycenter-focused Relay Positioning for Heterogeneous Wireless Networks (BRHEN) algorithm. In addition to lower the number of RNs compared to the initial algorithm, it also enhances its stability with respect to small IN displacements.
KW - heterogeneous network
KW - mobile network
KW - relay positioning
KW - unmanned aerial vehicles
KW - heterogeneous network
KW - mobile network
KW - relay positioning
KW - unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85195670711&partnerID=8YFLogxK
U2 - 10.1109/ICMCIS61231.2024.10540946
DO - 10.1109/ICMCIS61231.2024.10540946
M3 - Conference contribution
AN - SCOPUS:85195670711
T3 - 2024 International Conference on Military Communication and Information Systems, ICMCIS 2024
BT - 2024 International Conference on Military Communication and Information Systems, ICMCIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 April 2024 through 24 April 2024
ER -