在低负载、低功耗无线传感器网络中，节点状态切换的能量消耗因为用于数据传输的能量较小而变得不可忽略。针对此问题，提出了结合多信道技术与时分多路访问( TDMA)技术的节点调度算法。该算法设计了基于接收端的连续时隙分配策略以减少节点状态切换次数，并且在可用无线信道有限的约束条件下，提出了信道分配与时隙调整机制，实现了时隙重用并最小化有限信道约束对优化节点状态切换次数的影响。仿真实验结果表明，当可用无线信道数为3~5时，算法能够有效地改善节点能量效率。当可用无线信道数大于3之后，算法能够获得优化的数据汇聚时间。%In a low￣load,low￣power wireless sensor network,energy consumption of the node state switching should notbe neglected because energy for data transmission is less. Focusing on this problem,a node scheduling algorithm combine with multi￣channel technology and time division multiple access( TDMA) technology is proposed. The algo￣rithm designs a consecutive slots allocation strategy based on receiver to reduce the node status switching times,pro￣poses a channel allocation and slot adjustment mechanism under the constraints that the available wireless channels are limited,and implements slots reusing and minimizes the limited channels constraints effects on optimizing times of node status switching. The simulation experiments results show the algorithm can effectively improve the node en￣ergy efficiency when the number of available wireless channel is between 3 and 5,while the algorithm can achieve the optimized data collection time when the number of available wireless channel is greater than 3.
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