Distributed Communication Protocol in Wireless Sensor Network Based on Internet of Things Technology

Fang, Ting; Yang, Yang

doi:10.1007/s11277-021-09203-7

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The first DC basic solution uses a WSN that links the SNs wirelessly [5]. The SNs work together in a store-and-forward manner to transmit the measured data to the sink.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Framework for Sensor Data Collection by UAV Based on Clustering, Two-Fold Ant Colony Optimization and Node Grouping

Shayboub,

Reda,

Al-Mahdi

et al. 2023

Preprint

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Unmanned Aerial Vehicles (UAVs) are a promising solution for sensor data collection (DC) in large-scale area. The challenge is to minimize the DC route, which will reduce UAV energy consumption and data latency. We propose a three-phase efficient solution with innovative algorithms to address this challenge. First, an initial shortest route that traverses all SNs is established based on the ant colony optimization (ACO) and the $K$-means algorithms. Second, we group the sensor nodes (SNs) along the initial route using the footprint of the UAV, so that the latter can collect the data of the group in one stop, instead of stopping at each SN. By sequencing the hovering locations, we obtain a (shorter) intermediate route. Third, we shorten this route even further, by applying ACO to the set of hovering locations of the intermediate route. The solution has been implemented fully in Python. The results show that the route length gets shorter progressively with each phase. To evaluate the performance of the solution objectively, we have compared it with four states of the art solutions. The results show vividly that the proposed solution produces a DC route 19.28\% shorter than the shortest route produced by the four competitive solutions. Moreover, it demonstrates a remarkable improvement by retaining 44\% of energy in most SNs while over 99\% energy depletion observed in the five state-of-the-art competitive solutions.

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“…The first DC basic solution uses a WSN that links the SNs wirelessly [5]. The SNs work together in a store-and-forward manner to transmit the measured data to the sink.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Framework for Sensor Data Collection by UAV Based on Clustering, Two-Fold Ant Colony Optimization and Node Grouping

Shayboub,

Reda,

Al-Mahdi

et al. 2023

Preprint

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show abstract

“…There are still many problems in the smart home system on the current. There is a low frequency of data collection, so the information of current environmental changes can't be transmitted in real time [8] . There is no support of cloud platform, so the data sharing and remote monitoring can't be realized [9] .…”

mentioning

confidence: 99%

Study of intelligent home environment system based on big data and improved k-means algorithm

Yu,

Liu,

2024

Preprint

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The Embedded operating system based on STC12C5A MCU is designed to facilitate real-time monitoring and control of the home environment, in order to solve some problems such as low acquisition frequency, poor real-time performance, lack of feedback and adaptation. The Kalman filter and improved k-means algorithm are used to analyze the big data which is processed by BP neural network, and then the most comfortable living environment parameters can be obtained. The independent monitoring mechanism and feedback adjustment are designed to achieve efficient collaboration and stable operation of system hardware and software. The test results show that the system has high acquisition accuracy, fast response speed, good reliability performance, as well as good real-time and adaptive capabilities.

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Distributed Communication Protocol in Wireless Sensor Network Based on Internet of Things Technology

Cited by 2 publications

References 13 publications

An Efficient Framework for Sensor Data Collection by UAV Based on Clustering, Two-Fold Ant Colony Optimization and Node Grouping

An Efficient Framework for Sensor Data Collection by UAV Based on Clustering, Two-Fold Ant Colony Optimization and Node Grouping

Study of intelligent home environment system based on big data and improved k-means algorithm

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