Effective Energy Adaptive and Consumption in Wireless Sensor Network Using Distributed Source Coding and Sampling Techniques

Multimedia is the process of handling multiple medium of messages over network with high rate data services in wireless cellular area networks. Communication is the process of exchanging information form one service to another. In wireless networks are significantly growth of affecting network perfo...

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Vydáno v:Wireless personal communications Ročník 118; číslo 2; s. 1393 - 1404
Hlavní autoři: Manikandan, S., Chinnadurai, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.05.2021
Springer Nature B.V
Témata:
Algorithms
Cellular communication
Coding
Communications Engineering
Communications traffic
Computer Communication Networks
Delay
Energy consumption
Engineering
Multimedia
Networks
Nodes
Signal,Image and Speech Processing
Traffic flow
Wireless communications
Wireless networks
Wireless sensor networks
Wireless sensor networks
Optimal early detection
End-to-end propagation delay
Effective energy consumption
Distributed source coding
ISSN:0929-6212, 1572-834X
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Shrnutí:Multimedia is the process of handling multiple medium of messages over network with high rate data services in wireless cellular area networks. Communication is the process of exchanging information form one service to another. In wireless networks are significantly growth of affecting network performance and energy consumption. The major problem is end to end delay in each node and meets the quality of services. The followings are considered for implementing wireless sensor network such as reduces the network delay, propagation delay and energy consumption. The senor node can sense the encoding value and reduce the network traffic delay using mitigation method. This paper propose a unique approach to provide simple routing services with reduced traffic delay, end to end delay network performance and to achieve better performance using Distributed Source Coding and Effective Energy Consumption methods. In this paper we use optimal early detection algorithm for improving network performance and energy consumption problem. An iterative Shannon fano and Tuker method is used for finding optimal solution of each node values. Network Simulator-3 is used for simulating network environments and setup the experiments. Our proposed method shows high data rate, good performance and low energy consumptions. The results compare with existing methodologies and performance is good.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-08081-3