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Relay Selection Approach in Underwater Acoustic WSNs Using Bi-Partite Graph


In an underwater wireless sensor networks, it is very difficult to communicate data over the 3-D underwater acoustic signal. In acoustic communication, there is no proper transmission between a source node to sink node. In existing work, single-hop clustering protocols were used for direct communication from cluster head to base station. Since direct communication is involved, the transmission range is very large and hence the data communication becomes difficult. In proposed work, additional leverage is achieved by introducing multi-hop clustering for speedy data transmission by selecting Relay Autonomous Underwater Vehicles (Relay-AUV) without delay and maximum channel capacity in acoustic wireless communication. The proposed scheme presents Relay-AUV selection algorithm using Contextual Bandit Bi-partite Graph (CB-BG) formulated by multi-hop data transmission, which provides maximum leverage for energy saving in cluster networks. Theoretical analysis and experimental simulation results are evaluated based on performance metrics such as successive transmission rate, throughput, cost of execution time and packet delivery ratio. The results shows that the proposed CB-BG system has maximum increase in data transmission rate of 58.33%, maximum increase in throughput and network throughput of 54.95%, maximum increase in operational time cost of 27.77% and high packet delivery ratio of 66.66%. The results are encouraging and our proposed method is found to be more efficient than the weight matching algorithms and minimum distances relay policies. The proposed CB-BG mechanism performs faster and reliable communication.

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Correspondence to R. Raj Priyadarshini.

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Priyadarshini, R.R., Sivakumar, N. Relay Selection Approach in Underwater Acoustic WSNs Using Bi-Partite Graph. Wireless Pers Commun 111, 643–660 (2020).

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  • UW-WSN
  • Bi-partite graph
  • Cluster head
  • Relay-AUV
  • CB-BG