Journal of Computer Applications ›› 2017, Vol. 37 ›› Issue (3): 730-735.

### Power allocation algorithm for two-tier underwater wireless sensor network using Stackelberg game

1. Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao Hebei 066004, China
• Received:2016-08-09 Revised:2016-10-04 Online:2017-03-10 Published:2017-03-22
• Supported by:
This work is partially supported by the National Natural Science Foundation of China (61571387), the Postgraduate Innovation Fund in Hebei Province (2016SJBS019).

### 基于Stackelberg博弈的双层水下传感器网络功率分配算法

1. 燕山大学 工业计算机控制工程河北省重点实验室, 河北 秦皇岛 066004
• 通讯作者: 李鑫滨
• 作者简介:李鑫滨(1969-),男,北京人,教授,博士,主要研究方向:水声通信网络、智能信息处理、故障诊断;王贝(1992-),男,河北石家庄人,硕士研究生,主要研究方向:水下传感器网络协作通信;韩松(1989-),男,河北石家庄人,博士研究生,主要研究方向:FEMTOCELL网络资源分配、水声通信网络资源分配。
• 基金资助:
国家自然科学基金资助项目（61571387）；河北省研究生创新基金资助项目（2016SJBS019）。

Abstract: Focused on the issue that energy consumption is excessively high in the underwater wireless sensor cooperative communication networks, to balance the energy consumption between the nodes and increase the channel capacity of the system, a distributed power allocation game-theoretic algorithm based on the node residual energy was proposed. The trading model between the user node and the relay node was constructed as a two-tier Stackelberg game, so that the node with less residual energy could provide less power for forwarding service, otherwise the node with more residual energy could provide more power to service, so as to balance the energy consumption between nodes. Compared with the algorithm without considering the residual energy, the channel capacity increases by 9.4%, 23.1% and 16.7% when there are 2, 3, 4 relay nodes respectively. The simulation results show that the algorithm not only improves the total channel capacity of the system, but also prolongs the lifetime of the underwater sensor cooperative communication network.

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