A Novel Approach on Efficient Data Transfer in Multimedia Communication Network

Mayur N. Bhalia, Arjav A. Bavarva
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Abstract

In the Wireless sensor networks, the main crucial part as we observe based on literature analysis managing Real-time data, load balancing, security of data, managing data, and also transmitting large (multimedia data) from source to destination using WMSN. Using the proposed system work on energy efficiency and robustness of the system and based on result analysis achieve the better result as compared to the existing system. Introduction: The growth of wireless sensor networks during the past ten years has altered how data is gathered and retrieved from different areas. With the expansion of communication infrastructure, the requirement and use of Multimedia Wireless Sensor Networks is becoming more widespread on these days. These networks confront a number of difficulties in ensuring user data is secure, trustworthy, and private, just like any other WMSNs. Objectives: This paper works on multimedia data transmission in WMSN and for that works on 3-bit LSB Embedding for transmitting large-size data with min energy consumption rate as compared to other methods like AES, ECC, etc. Methods: 3-bit LSB Embedding will be done which provides secrecy of the data and then we will implement the Energy Efficient routing to the embedded multimedia data for WMSN . Results: The shortest path optimization, using energy efficient routing protocol, by sensor nodes to transfer multimedia-data from source-node to destination-node achieved in WMSN. The average energy consumption and throughput of 400 multimedia sensor nodes transferring large amount multimedia-data transfer from source-to-destination WMSN. Existing work shows that it has high energy consumption and low throughput as compare to the proposed work. Conclusions: In this paper, work on energy-efficient real time multimedia data trans receive using Wireless sensor network use 3-bit LSB data embedding in multimedia data transmission in a wireless sensor network for compress data. Based 3-bit LSB data embedding for digital audio, image, video, and 3D media. Given the tremendous developments in digital media communications ranging from conventional digital audio to immersive media, LSB data hiding plays an important role in providing high capacity and maintaining imperceptibility by considering mechanisms of the HAS and HVS. This paper uses a hybrid approach for secure data as well as compressing it using a 3-bit LSB embedding approach as well as for making energy optimization using a trust mechanism for set initial threshold values of parameters like min energy required, transmission power, location, transmission power, etc. in the transmission side source node and another surrounding node will be selected based on a parameter that we reserve than apply 3-bit LSB embedding on data and on the receiver and apply same de-embedding after selecting receiver node. And for establishing communication select the most appropriate and optimized path based on energy and location-based estimation. With the proposed structure we achieve significantly improve in results as achieve more throughput and less energy consumption as compared to the existing system.
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多媒体通信网络中高效数据传输的一种新方法
在无线传感器网络中,主要的关键部分是管理实时数据、负载均衡、数据安全、管理数据以及使用WMSN从源到目的传输大型(多媒体)数据。利用所提出的系统对系统的能效和鲁棒性进行了研究,并在结果分析的基础上取得了比现有系统更好的效果。导读:在过去十年中,无线传感器网络的发展改变了从不同领域收集和检索数据的方式。随着通信基础设施的不断扩大,多媒体无线传感器网络的需求和应用日益广泛。与任何其他wmsn一样,这些网络在确保用户数据安全、可信和私有方面面临许多困难。目的:本文主要研究WMSN中的多媒体数据传输,并研究了相对于AES、ECC等其他传输方式,以最小能耗传输大数据的3位LSB嵌入技术。方法:采用3位LSB嵌入,保证数据的保密性,实现对嵌入式多媒体数据的节能路由。结果:在WMSN中,传感器节点采用节能路由协议实现了多媒体数据从源节点到目的节点的最短路径优化。传输大量多媒体数据的400个多媒体传感器节点的平均能耗和吞吐量。现有的工作表明,与所提出的工作相比,它具有高能耗和低吞吐量的特点。结论:本文研究了利用无线传感器网络实现高效节能的实时多媒体数据传输接收,采用3位LSB数据嵌入在无线传感器网络中的多媒体数据传输中对数据进行压缩。基于3位LSB数据嵌入的数字音频,图像,视频和3D媒体。考虑到数字媒体通信从传统数字音频到沉浸式媒体的巨大发展,考虑到HAS和HVS的机制,LSB数据隐藏在提供高容量和保持不可感知性方面发挥了重要作用。本文使用混合方法来保护数据,并使用3位LSB嵌入方法对数据进行压缩,以及使用信任机制设置最小所需能量、传输功率、位置、传输功率、等,根据我们预留的参数选择传输侧源节点和另一个周围节点,然后对数据和接收端进行3位LSB嵌入,选择接收端节点后进行相同的去嵌入。并基于能量和位置估计选择最合适的优化路径建立通信。与现有系统相比,我们提出的结构显著改善了结果,实现了更高的吞吐量和更低的能耗。
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哈尔滨工程大学学报
哈尔滨工程大学学报 Energy-Nuclear Energy and Engineering
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0.90
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6802
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