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水下移动传感器网络部署环境复杂,节点易失效,覆盖率和能耗是其重要的性能指标。文章建立水下移动传感器网络的覆盖率优化和能量消耗目标函数,提出了基于人工鱼群算法的寻优策略,仿真结果表明,与传统算法相比,该算法能够有效提高网络覆盖效率,同时降低了网络节点能耗,从而能够提升网络的感知服务能力和延长网络生存周期。
Underwater mobile sensor network deployment environment is complex, node failure, coverage and energy consumption is an important performance indicator. This paper establishes the objective function of coverage optimization and energy consumption of underwater mobile sensor networks and proposes an optimization strategy based on artificial fish swarm algorithm. The simulation results show that compared with the traditional algorithm, this algorithm can effectively improve the network coverage efficiency and reduce The energy consumption of network nodes, which can enhance the network’s perceived service capabilities and extend the network life cycle.