Abstract：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.
王海军,雷建军,杨 莉. 基于时延受限的移动sink环境下能量高效的数据融合算法[J]. 华中师范大学学报(自然科学版), 2018, 52(5): 622-627.
WANG Haijun,LEI Jianjun,YANG Li. Energy efficient data aggregation algorithm in mobile sink environment with delay constrained. journal1, 2018, 52(5): 622-627.
2018, Vol. 52 
