One of the most essential challenges of wireless sensor networks (WSNs) is the limited energy of their nodes. Compressive data gathering (CDG) and sleep scheduling are two practical solutions to extend the lifetime of such networks. However, applying these techniques incorrectly may lead to having significant reconstruction errors. This study proposes a fully distributed method to combine these two techniques in WSNs. An essential condition for CDG is the participation of all nodes in each round. The simulations along with the mathematical proof demonstrate that sleep scheduling can only be used during CDG when this condition holds. The proposed method considers this condition and therefore leads to an acceptable reconstruction error. Moreover, the proposed method is fully distributed in which message passing among the nodes for sleep scheduling is not required. The simulation results show that the proposed method improves the lifetime of the WSNs up to 2.2 times compared to non-sleeping CDG with an equivalent reconstruction error.

中文翻译：

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无线传感器网络中的全分布式睡眠压缩数据收集

无线传感器网络（WSN）的最基本挑战之一是其节点的能量有限。压缩数据收集（CDG）和睡眠调度是延长此类网络寿命的两个实用解决方案。但是，错误地应用这些技术可能会导致严重的重建错误。这项研究提出了一种完全分布式的方法来结合这两种技术在WSN中。CDG的必要条件是每一轮中所有节点的参与。仿真和数学证明表明，只有在这种情况成立时，才能在CDG期间使用睡眠调度。所提出的方法考虑了这种情况，因此导致可接受的重建误差。此外，所提出的方法是完全分布式的，其中不需要在节点之间传递消息以进行睡眠调度。仿真结果表明，与具有等效重构误差的非睡眠CDG相比，该方法将WSN的寿命提高了2.2倍。