The Periodic Sensor Networks based fog computing of the Internet of Things (IoT) represents one of the most providers of the big data on the network because it is implemented in the widespread of real-world applications. The increasing size of data on the network can lead to increase the communication overhead and thus decrease the limited energy of the wireless sensor devices. Therefore, it is necessary to remove the redundant sensed data to minimize the cost of communication and save the energy of sensor devices. In this paper, an Energy-efficient Data Transmission and Aggregation Protocol (EDaTAP) in Periodic Sensor Networks (PSNs) based fog computing is proposed. EDaTAP protocol is periodic and performs its task in two levels: sensor device and fog gateway processing levels. In the latter, we proposed and implemented a clustering-based Dynamic Time Warping (DTW) with simple encoding to eliminate redundant similar data sets that are received from the sensor devices and decrease the transmitted data sets to the base station. In the former, the sensor device has applied an integrated grouping and simple encoding algorithm to remove redundant data from the sensed data and then encoded before sending them to the fog gateway. EDaTAP protocol is assessed and executed by the OMNeT++ simulator using real sensed data of periodic sensor devices. The proposed EDaTAP protocol can clean and reduce the transmitted sensed data up to 97.4 $$\%$$ , save energy up to 81.2 $$\%$$ , decrease the lost data up to 55.5 $$\%$$ , transmit up to 31 $$\%$$ of data measures sets to the base station, detect up to 6534 of redundant data sets at the fog gateway, and consume up to 0.0186 of energy at the fog gateway in comparison with other approaches.

中文翻译：

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基于雾计算的周期性传感器网络中的节能数据传输和聚合协议

基于物联网 (IoT) 雾计算的周期性传感器网络代表了网络上大数据的最大提供者之一，因为它在广泛的现实世界应用中实现。网络上数据量的增加会导致通信开销的增加，从而降低无线传感器设备的有限能量。因此，有必要去除冗余的感测数据以最小化通信成本并节省传感器设备的能量。在本文中，提出了一种基于雾计算的周期性传感器网络 (PSN) 中的节能数据传输和聚合协议 (EDaTAP)。EDaTAP 协议是周期性的，并在两个级别执行其任务：传感器设备和雾网关处理级别。在后者中，我们提出并实现了一种基于聚类的动态时间规整（DTW），它具有简单的编码，以消除从传感器设备接收到的冗余相似数据集，并减少传输到基站的数据集。在前者中，传感器设备应用集成分组和简单编码算法从感测数据中去除冗余数据，然后在将它们发送到雾网关之前进行编码。EDaTAP 协议由 OMNeT++ 模拟器使用周期性传感器设备的真实感测数据进行评估和执行。提出的 EDaTAP 协议可以清除和减少传输的感知数据高达 97.4 $$\%$$ ，节能高达 81.2 $$\%$$ ，减少丢失的数据高达 55.5 $$\%$$ ，传输向上将31个$$\%$$的数据量集到基站，在雾网关检测多达6534个冗余数据集，