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a Multimedia sensor energy consumption.
Figure 6 shows network survivability performance of the multimedia data scale and cloud number of multimedia sensor energy consumption and cloud idle equipment rate.
In dynamic topology evolution process, factors resulting in decline of multimedia communication performance and damage of WMSNs include the calculation complexity, multimedia data transmission delay, cloud equipment idle rate and efficiency of cloud computing and multimedia sensor energy consumption, and multimedia data scale.
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To achieve the optimization target, we can allocate higher transmit power level to the multimedia sensor nodes with more remaining energy.
In order to achieve the energy equilibrium, we first need to know the remaining energy of each multimedia sensor node.
In this paper, we investigate the suitability of several WSNs MAC protocols from different categories for low data rate WMSNs by analyzing the effect of some network parameters, such as the sampling rate and the density of multimedia sensors on the energy consumption of nodes.
During the operation process of WMSN, the energy consumption of multimedia sensor nodes is not stable but depends on the their working states.
However, the total energy consumptions of multimedia sensor nodes in WMSN increase greatly as the nodes need to collect the data from audio, video, and graphic.
We are interested in developing optimal centralized power control policies for energy harvesting wireless multimedia sensor networks (WMSN) equipped with photovoltaic cells.
The paper "Dynamic power control for energy harvesting wireless multimedia sensor networks" by Mohammed-Amine Koulali, Abdellatif Kobbane, Mohammed El Koutbi, Hamidou Tembine, and Jalel Ben-Othman deals with wireless multimedia sensor networks equipped with photovoltaic cells.
As a resource-constrained network, wireless multimedia sensor network should try to reduce the unnecessary energy consumption.
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