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CG-E2S2: Consistency-guaranteed and energy-efficient sleep scheduling algorithm with data aggregation for IoT

机译:CG-E2S2:具有数据聚合功能的物联网一致性保证和节能睡眠调度算法

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摘要

In data acquisition (DAQ)-based services of Internet of things (IoT), IoT devices sense and transmit data to the application server through IoT gateway (GW). Due to the energy limitation of IoT devices, it is important to increase their energy efficiency. Further, when data from a very large number of IoT devices is individually transmitted, the data traffic volume can be significant. To resolve these issues, IoT devices and IoT GW can use sleep mode and data aggregation, respectively. However, when the IoT devices are in sleep mode for a long time and/or data are aggregated in IoT GW for a long time without any transmissions, data can become inconsistent. In this paper, we propose a consistency-guaranteed and energy efficient sleep scheduling algorithm (CG-E2S2) with data aggregation. In CG-E2S2, the optimal sleep duration of IoT devices and aggregation duration in IoT GW are jointly determined by means of a Markov decision process (MDP) with the consideration of energy efficiency of IoT devices, data traffic in networks, and data consistency. The evaluation results demonstrate that CG-E2S2 with the optimal policy outperforms the comparison schemes in terms of energy efficiency, data traffic volume, and data consistency.
机译:在基于数据采集(DAQ)的物联网(IoT)服务中,IoT设备通过IoT网关(GW)感知数据并将数据传输到应用程序服务器。由于物联网设备的能源限制,提高其能源效率非常重要。此外,当单独传输来自大量IoT设备的数据时,数据流量可能会很大。为了解决这些问题,IoT设备和IoT GW可以分别使用睡眠模式和数据聚合。但是,当IoT设备长时间处于睡眠模式和/或长时间在IoT GW中聚合数据而没有任何传输时,数据可能会变得不一致。在本文中,我们提出了一种具有数据聚合功能的一致性保证的节能睡眠调度算法(CG-E2S2)。在CG-E2S2中,考虑到IoT设备的能源效率,网络中的数据流量和数据一致性,通过马尔可夫决策过程(MDP)共同确定IoT设备的最佳睡眠持续时间和IoT GW中的聚合持续时间。评估结果表明,具有最佳策略的CG-E2S2在能效,数据流量和数据一致性方面均优于比较方案。

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