大多数文献都从无线传感器网络路由机制出发考虑节能问题,但是这种假设没有有考虑到在实际应用中传感器可能比无线通信元件消耗更多能量.从这种角度出发,提出了一种有效的传感器节点节能策略,这也关系到无线传感器网络生命周期的长短.利用自适应采样算法来来估计传感器在线最佳采样频率.设计了一种自适应测量系统使传感器能量消耗最小,同时数据采集维持在一个较高的精度.采用环境监控传感器作为研究案例,模拟实验表明相对于传统固定采样率方法这种自适应算法可以将数据采集量减少20％,并且无线传感器网络性能没有下降.%Most paper starting to consider energy conservation issues from the routing mechanism for wireless sensor networks, however, this assumption does not taking into account a number of actual application, where sensors may consume even more energy than the radio. From this point of view, this paper presents an efficient energy saving strategy of sensor nodes, which is also related to wireless sensor network lifetime. Propose an adaptive sampling algorithm to estimate the optimal sampling frequency of the sensor on line, to minimum the energy consume and maintaining a very high accuracy of collected data. With environmental monitoring sensors as a case study, simulation results show that compared with traditional methods of fixed sampling rate adaptive algorithm amount of data collected can be reduced by 20%, and wireless sensor network performance did not decline.
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