TY - GEN
T1 - Cross-layer balanced relay node selection algorithm for opportunistic routing in underwater ad-hoc networks
AU - Li, Ning
AU - Martinez Ortega, Jose Fernan
AU - Diaz, Vicente Hernandez
AU - Lopez Santidrian, Lourdes
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Due to the different transmission media, the underwater environment poses a more severe situation for routing algorithm design than that of the terrestrial environment. In this paper, we propose a weight based fuzzy logic (WBFL) relay node selection algorithm for the underwater Ad-hoc network, which can get the most balanced result than the previous algorithms without increasing the computation complexity. In this algorithm, the parameter scatters instead of the parameter values are inputted into the fuzzy logic inference system. By this innovation, the algorithm can take as much cross-layer parameters into account as possible during the relay node selection. Moreover, taking the node mobility into account, we propose a geographic based link lifetime prediction algorithm for underwater Ad-hoc network. The simulation results show that the WBFL algorithm can improve the network throughput at most 50% compare with the ExOR algorithm; moreover, the WBFL is effective and accurate on selecting relay nodes and the computation complexity is less than the previous algorithms.
AB - Due to the different transmission media, the underwater environment poses a more severe situation for routing algorithm design than that of the terrestrial environment. In this paper, we propose a weight based fuzzy logic (WBFL) relay node selection algorithm for the underwater Ad-hoc network, which can get the most balanced result than the previous algorithms without increasing the computation complexity. In this algorithm, the parameter scatters instead of the parameter values are inputted into the fuzzy logic inference system. By this innovation, the algorithm can take as much cross-layer parameters into account as possible during the relay node selection. Moreover, taking the node mobility into account, we propose a geographic based link lifetime prediction algorithm for underwater Ad-hoc network. The simulation results show that the WBFL algorithm can improve the network throughput at most 50% compare with the ExOR algorithm; moreover, the WBFL is effective and accurate on selecting relay nodes and the computation complexity is less than the previous algorithms.
KW - Cross-layer
KW - Fuzzy logic
KW - Opportunistic routing
KW - Relay node selection
KW - Underwater ad hoc networks
UR - https://www.scopus.com/pages/publications/85052335325
U2 - 10.1109/AINA.2018.00087
DO - 10.1109/AINA.2018.00087
M3 - 会议稿件
AN - SCOPUS:85052335325
SN - 9781538621943
T3 - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
SP - 556
EP - 563
BT - Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
A2 - Barolli, Leonard
A2 - Takizawa, Makoto
A2 - Enokido, Tomoya
A2 - Ogiela, Marek R.
A2 - Ogiela, Lidia
A2 - Javaid, Nadeem
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
Y2 - 16 May 2018 through 18 May 2018
ER -