基于时延受限的移动sink环境下能量高效的数据融合算法

基于移动sink的无线传感器网络环境下的数据收集方案能有效提升网络性能，但在实时性要求较高的应用中，很难同时兼顾时延与数据的收集效率.该文提出了一种考虑时延受限条件下能量高效的移动sink数据收集策略.首先，根据时延约束和网络整体能耗效率优化为目标，对移动sink的最佳驻留点集合进行求解.然后，提出了一种基于驻留点优先级的路径优化选择方法，得到移动sink经过驻留点的最短路径.仿真实验结果表明，与已有算法相比，该文提出的数据收集策略能最大限度的减小时延，并延长网络的生命周期.

Energy efficient data aggregation algorithm in mobile sink environment with delay constrained

The data aggregation method with mobile sink can improve the performance of wireless sensor networks effectively. However， it is difficult to give consideration to both the requirement of time delay and the efficiency of data collection in real-time applications. In this paper， an energy efficient data aggregation algorithm in mobile sink environment in proposed. Firstly， the optimization objective is determined to minimize the overall energy consumption of the network with the constraint of transmission delay， which can be converted into the problem of the resolution of the optimal rendezvous point set. Next， a path selection method based on the priority of rendezvous points is proposed to obtain the shortest path of the mobile sink by passing through. Simulation results show that the proposed method can obtain better performance than existing algorithms in aspects of minimize the delay and prolong the lifetime of the network.