均衡能耗和时延的无线传感器网络组内融合机制研究

Aggregaion Mechanism for the Tradeoffs between the Energy Dissipation and the Timelines of Data Transmission in Group for Wireless Sensor Networks

主要研究实时监测无线传感器网络系统中的数据传输时延及网络的能量效率的均衡优化,提出了一种基于博弈论的无线传感器网络组内数据融合(GA-G)模型。该机制采用逐级分层的融合架构,可以最小化网络的原始数据输出量并通过建立博弈模型均衡了节点的能耗及数据传输的时延。仿真结果表明该融合机制能提高网络数据融合的实时可靠性。

This paper studied the tradeoff between the data transmission delay and overall network energy efficiency, and developed a game-theoretic model of real-time reliable aggregation mechanism for wireless sensor networks. This mechanism defines a muhitier data aggregation architecture which can reduce the total transmission overhead of WSN and balance the tradeoffs between the energy dissipation and the timeliness of data transmission. Simulation results show that the data aggregation architecture can improve the real-time reliability of sensor network.