Multimedia resource allocation strategy of wireless sensor networks using distributed heuristic algorithm in cloud computing environment

Yang, Jian; Xiang, Zhen; Mou, Lisha; Liu, Shumu

doi:10.1007/s11042-019-07759-y

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…In view of the fact that game theory is an effective tool for balancing the interests of all parties and formulating strategies, it is widely used in wireless network resource allocation. In [16], game theory is used as a means to solve the problem, and a two-stage power allocation based on game is designed. Method.…”

Section: Introductionmentioning

confidence: 99%

Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm

Guan

2022

Advances in Multimedia

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In order to improve the efficiency of wireless network virtualization resource processing, this paper combines the dynamic resource allocation algorithm to construct a wireless network virtualization resource sharing model. This paper proposes a task-oriented resource management model and uses the task-oriented TRS model to describe resources and service processes, reducing the complexity of formulating resource allocation strategies. Moreover, this paper comprehensively considers factors such as centralized coordination control cost and limited domain topology visibility to improve the dynamic resource allocation algorithm. Through comparative research, it can be seen that the wireless network virtualization resource sharing method proposed in this paper considering the dynamic resource allocation algorithm can effectively improve the processing efficiency of wireless network virtualization resources.

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Section: Introductionmentioning

confidence: 99%

Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm

Guan

2022

Advances in Multimedia

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“…They adjust the position, height, deployment density and other influencing factors to make the camera capture as helpful information as possible. At the same time, they adjust the transmit power and receive power from sensor nodes to change the routing of information to reduce the energy consumption ratio [9,10]. These researches focus on information routing and node deployment.…”

Section: Introductionmentioning

confidence: 99%

Wild Animal Information Collection Based on Depthwise Separable Convolution in Software Defined IoT Networks

Cao

Wang

et al. 2021

Electronics

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The wild animal information collection based on the wireless sensor network (WSN) has an enormous number of applications, as demonstrated in the literature. Yet, it has many problems, such as low information density and high energy consumption ratio. The traditional Internet of Things (IoT) system has characteristics of limited resources and task specificity. Therefore, we introduce an improved deep neural network (DNN) structure to solve task specificity. In addition, we determine a programmability idea of software-defined network (SDN) to solve the problems of high energy consumption ratio and low information density brought about by low autonomy of equipment. By introducing some advanced network structures, such as attention mechanism, residuals, depthwise (DW) convolution, pointwise (PW) convolution, spatial pyramid pooling (SPP), and feature pyramid networks (FPN), a lightweight object detection network with a fast response is designed. Meanwhile, the concept of control plane and data plane in SDN is introduced, and nodes are divided into different types to facilitate intelligent wake-up, thereby realizing high-precision detection and high information density of the detection system. The results show that the proposed scheme can improve the detection response speed and reduce the model parameters while ensuring detection accuracy in the software-defined IoT networks.

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Optimized clustering routing framework to maintain the optimal energy status in the wsn mobile cloud environment

Vellela

Balamanigandan

2023

Multimed Tools Appl

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Multimedia resource allocation strategy of wireless sensor networks using distributed heuristic algorithm in cloud computing environment

Cited by 7 publications

References 16 publications

Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm

Wireless Network Virtualization Resource Sharing considering Dynamic Resource Allocation Algorithm

Wild Animal Information Collection Based on Depthwise Separable Convolution in Software Defined IoT Networks

Optimized clustering routing framework to maintain the optimal energy status in the wsn mobile cloud environment

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