Smart Antenna-based Multi-hop Highly-Energy-Efficient DSA Approach to Drone-assisted Backhaul Networks for 5G

Jiang, Dingde; Wang, Zhihao; Lv, Zhihan; Li, Wenpan

doi:10.1109/infocomwkshps50562.2020.9162848

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…The four abilities of 5G communication system, namely massive capacity, ultralow latency, high reliability and extensive connection, are the key driving forces for the development of IoT [5,6]. The integration of 5G and WSN-assisted IoT not only strengthens the connection between the real world and the internet world, but also widens the scope of IoT services such that IoT can not only serve the smart city [7] but also penetrate into agriculture [8], medical care [9], transportation [10], industry [11] and other fields [12]. However, WSN-assisted IoT is facing grand challenges and the huge amount data traffic brought by great number of IoT devices and sensors can impose an enormous burden on the network, resulting in higher service delays and reduced quality of service (QoS) [13].…”

Section: Introduction 1backgroudmentioning

confidence: 99%

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Chen

Wang

et al. 2021

Sensors

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With the increasing deployment of IoT devices and applications, a large number of devices that can sense and monitor the environment in IoT network are needed. This trend also brings great challenges, such as data explosion and energy insufficiency. This paper proposes a system that integrates mobile edge computing (MEC) technology and simultaneous wireless information and power transfer (SWIPT) technology to improve the service supply capability of WSN-assisted IoT applications. A novel optimization problem is formulated to minimize the total system energy consumption under the constraints of data transmission rate and transmitting power requirements by jointly considering power allocation, CPU frequency, offloading weight factor and energy harvest weight factor. Since the problem is non-convex, we propose a novel alternate group iteration optimization (AGIO) algorithm, which decomposes the original problem into three subproblems, and alternately optimizes each subproblem using the group interior point iterative algorithm. Numerical simulations validate that the energy consumption of our proposed design is much lower than the two benchmark algorithms. The relationship between system variables and energy consumption of the system is also discussed.

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Section: Introduction 1backgroudmentioning

confidence: 99%

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Chen

Wang

et al. 2021

Sensors

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“…Because 5G and wireless sensor network (WSN)-assisted IoT make it a lot easier to link the physical world with the internet (Lu et al, 2020), this is the case. Although WSN-assisted IoT presents significant risks , the vast amounts of data traffic generated by a massive number of IoT devices and sensor systems may place considerable strain on the network (Cui et al, 2021), resulting in increased service disruptions and significantly reduced quality of service (QoS) (Jiang et al, 2020).…”

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confidence: 99%

Research on the Design of Power Supply Gateway and Wireless Power Transmission Based on Edge Computing

Wang,

Ping,

et al. 2024

International Journal of Distributed Systems and Technologies

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There is a rising need for sensors under an IoT network to identify and monitor the environment as more IoT devices and services are made accessible for use. This movement presents challenges such as the proliferation of data and the scarcity of energy. This research presents a strategy for enhancing the service provision capabilities of WSN-aided IoT applications by combining mobile edge computation with wireless signal and control transmission. In order to reduce overall system energy consumption while maintaining data transmission rate and power needs, a new optimization problem integrating power allocation, CPU frequency, offloading weight factor, and energy harvesting is devised. The non-convex nature of the problem necessitates the development of a novel ideal solution group iterative process optimization model that divides the original problem into multiple subproblems, with each subproblem being optimized in turn. According to the results of simulations with a numerical model, our proposed method consumes considerably less energy than just the two benchmark methodologies.

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Smart Antenna-based Multi-hop Highly-Energy-Efficient DSA Approach to Drone-assisted Backhaul Networks for 5G

Cited by 2 publications

References 10 publications

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Research on the Design of Power Supply Gateway and Wireless Power Transmission Based on Edge Computing

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