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基于节点移动性的水下动态拓扑控制方法OA北大核心CSTPCD

Dynamic Topology Control Method for Mobile Underwater Sensor Networks

中文摘要英文摘要

针对水下传感器节点随洋流移动导致的网络覆盖率和连通率较低的问题,提出一种新的水下动态拓扑控制方法.节点部署阶段,利用模拟退火算法计算节点的期望部署位置,并采用蜿蜒洋流移动模型预测节点的实际部署位置,节点无须消耗额外能量调节自身位置即可保持网络的全连通和高覆盖率;拓扑优化阶段,以最大化延长网络寿命为目标,自主水下航行器根据节点实时情况执行高效的拓扑优化策略.仿真结果表明,与现有的CDA、SLO及随机部署方案相比,提出的新方法在保持全连通性的前提下具有更好的覆盖率和平均节点度;节点存活率和数据包传输成功率分别提升了11.6%和11.53%,有效提高了网络寿命.

This paper proposes a new dynamic topology control method for addressing the problem of low network coverage and connectivity caused by underwater sensor nodes moving with ocean currents. During the node deployment phase, an expected deployment location is calculated using simulated annealing algorithm, and the actual deployment location is predicted using the meandering current mobility model.With this method, the nodes can maintain network-wide connectivity and high coverage without consuming additional energy to adjust their own positions. During the topology optimization phase, the autonomous underwater vehicle executes the efficient topology optimization strategy based on real-time node conditions with the goal of maximizing network lifespan. Simulation results show that compared to existing schemes such as CDA, SLO, and random deployment, the proposed new method achieves better coverage and average node degree while maintaining full connectivity. Node survival rate and packet transmission success rate are improved by 11.6% and 11.53% respectively, effectively enhancing network lifespan.

郝琨;薛旭峰;刘永磊;李志圣;赵晓芳

天津城建大学计算机与信息工程学院,天津 300384

计算机与自动化

拓扑控制节点移动性模拟退火算法自主水下航行器

topological controlnode mobilitysimulated annealing algorithmautonomous underwater vehicle

《电子科技大学学报》 2024 (004)

542-550 / 9

国家自然科学基金(61902273)

10.12178/1001-0548.2023152

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