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Volume 44 Issue 6
Jun.  2022
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JIANG Zilong, WANG Yan, ZHONG Xuefeng, CHEN Fangjiong, GUAN Quansheng, JI Fei. Implementation and Routing Performance Analysis Based on Network Simulator-3 for Coordinate Radio-Acoustic Network[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2014-2023. doi: 10.11999/JEIT211274
Citation: JIANG Zilong, WANG Yan, ZHONG Xuefeng, CHEN Fangjiong, GUAN Quansheng, JI Fei. Implementation and Routing Performance Analysis Based on Network Simulator-3 for Coordinate Radio-Acoustic Network[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2014-2023. doi: 10.11999/JEIT211274

Implementation and Routing Performance Analysis Based on Network Simulator-3 for Coordinate Radio-Acoustic Network

doi: 10.11999/JEIT211274
Funds:  The National Natural Science Foundation of China (62192711), Science and Technology Planning Project of Guangdong Province (2017B030314003)
  • Received Date: 2021-11-16
  • Rev Recd Date: 2022-04-24
  • Available Online: 2022-04-28
  • Publish Date: 2022-06-21
  • Underwater wireless communication mainly relies on underwater acoustic communication for information transmission. The high propagation delay and high bit error rate of underwater acoustic link, however, is a challenging task to provide low delay communication services for underwater applications. The Coordinate Radio-Acoustic Network (CRAN) aims to utilize fully the on-surface radio link to mitigate the shortcoming of Underwater Acoustic Network (UAN) and improve the performances of whole network. The routing protocol of CRAN needs to construct the heterogeneous acoustic-radio links which is one of the key researches to CRAN. In this paper, first, the design of buoy node and internet-stack with its’ implementation in NS-3 are introduced, and the simulation platform of CRAN in Network Simulator 3 (NS-3) is built. Second, the application of reactive routing protocol as Ad-hoc On-demand Distance Vector routing (AODV) to CRAN is discussed, and it is found that AODV used distance vector could select more high-speed radio links during route construction, which could effectively reduce the network transmission delay. Finally, the performance of AODV and its counterpart are compared and analyzed through the simulation. The results show that, compared with underwater acoustic communication network, CRAN has a great improvement in transmission delay, packet delivery rate, network throughput, energy efficiency and routing response speed. At the same time, the reactive routing protocol represented by AODV is more suitable than the active routing protocol represented by Optimized Link State Routing (OLSR) for CRAN.
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