Recent work shows sink mobility can improve the energy efficiency in wireless sensor networks. However, the speed limit of the mobile sink often lead to increasing data gathering delay, which may be unacceptable in some real-time applications with strict delay requirement. To address this issue,this paper proposes a path selection scheme based on virtual nodes' priority to meet the delay requirement and minimize the energy comumption of entire network. Simulation experiments under MATLAB shows that computational complexity performance and scalability performance of the proposed scheme can be increased effectively at the cost of little more energy consumption in comparison with some baseline algorithms.%已有研究表明sink移动方案能有效提升无线传感器网络的能耗效率,但sink点移动速度的限制通常会带来较大的数据收集时延,与某些实时性要求较高的应用产生矛盾.为解决该问题,本文以满足时延要求和最小化网络整体能耗为优化目标,提出了一种基于虚拟点优先级的移动sink路径优化选择方法.仿真试验结果表明,与基准算法相比,该方法在牺牲少量能耗的前提下能显著降低算法时间复杂度,具有良好的规模可扩展性.
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