Energy-Efficient Data Transmission and Aggregation Protocol in Periodic Sensor Networks Based Fog Computing
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(2021) 29:4
Energy‑Efficient Data Transmission and Aggregation Protocol in Periodic Sensor Networks Based Fog Computing Ali Kadhum Idrees1 · Ali Kadhum M. Al‑Qurabat1 Received: 15 May 2020 / Revised: 20 September 2020 / Accepted: 25 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract 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. Keywords Sensor networks · Fog applications · Internet of Things · Clustering · Data mining · Energy efficiency
* Ali Kadhum Idrees [email protected] 1
Department of Computer Science, University of Babylon, Babylon, Iraq
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Journal of Network and Systems Management
(2021) 29:4
1 Introduction Wireless IoT (Internet of Things) devices like smart objects, sensors, cameras, and wearable devices are implemented in widespread real-world applications such as smart home, security, agriculture, smart cities, smart, health care, military, smart transportation, and so on [1]. The IoT is the standard by which the smart objects devices connected to the Internet, permitting these objects without people intervention to gather, compute, and communicate sensed data [2]. The advances in the smart remote monitoring systems for various Internet of Things (IoT) applications that use Periodic Sensor Networks (PSNs) represent a big challenge due to the large vo
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