无线传感器网中基于加权负载的时隙调度算法

针对无线传感器网络MAC协议,提出了一种能量有效的自适应时隙调度算法EATA。算法基于簇结构，由簇首根据节点加权通信负载动态调度各节点占空比，减少节点的空闲侦听时间；并通过动态调节时隙更新频率和顺序以降低时隙划分的能量和时间代价。仿真表明，在控制数据包时延的前提下，算法有效地提高了网络能量有效性，延长了网络生存周期。

Time-slot scheduling algorithm based on weighted traffic load in wireless sensor networks

An energy-efficient adaptive time-slot scheduling algorithm（EATA）based on clustering for MAC protocol of wireless sensor networks was described. In this algorithm, the cluster head adjusts the time-slot of nodes according to their weighted traffic load in a proper order and frequency, thus the idle listening was reduced, and the energy consumption balancing among nodes was achieved with a low latency. Simulation results show that the algorithm EATA improves the network energy usability and increases networks lifetime.