Improving Data Transmission Reliability with Network Coding in Wireless Sensor Network

Author(s):  
Jing Hao ◽  
Hailin Feng ◽  
Guangxue Wu
2017 ◽  
Vol 13 (12) ◽  
pp. 150 ◽  
Author(s):  
Zhifu Luan

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">The wireless sensor network (WSN) has penetrated into every corner in our lives, ranging from national defense, biological medicine, environmental monitoring, to traffic management. It is of great significance to study the reliability of data transmission, a key determinant of the results of monitoring events. The network reliability lies in fault tolerance: when some nodes or links in the network fail, the data can be recovered at the sink node by selecting the appropriate finite domain space. In this paper, network coding is used to improve the reliability of WSN. Firstly, the author calculated the data transmission reliability and average energy consumption of network coding in single-path and multi-path scenarios. Then, the average energy consumption of network coding was compared with that of the traditional method. Finally, the reliabilities of the two different methods were simulated on MATLAB at different channel loss rates. The experimental results show that the reliability of the network coding technique is better than the traditional one at the expense of a small amount of energy.</span>


2014 ◽  
Vol 1046 ◽  
pp. 339-342
Author(s):  
Tao Niu ◽  
Yi Zhuang

In order to achieve reliable data transmission in clustering structure based data acquisition systems of wireless sensor network, in this paper, we propose a reliable data transmission scheme based on network coding for clustering wireless sensor network. We use random linear network coding to solve reliable multicast data transmission from base station to other nodes, and then combine random linear network coding with multipath routing for transmitting acquired data to the base station, so as to improve the success rate for sending acquired data to the base station. Simulation results show that the proposed algorithm can achieve reliable data transmission with lower energy, and significantly improve the transmission reliability compared to data transmission without using network coding.


Webology ◽  
2021 ◽  
Vol 18 (05) ◽  
pp. 1226-1235
Author(s):  
Vasuki C ◽  
Dr. Kavitha S ◽  
Bhuvaneswari S

Wireless sensor networks are greatly utilized by various applications and environments to sense and transmit the data. As wireless sensor network doesn’t have any centralized architecture, there will be various issues occurs in the network such as data transmission failure, data security issues, energy resource limitation and so on. Various authors focused these issues and published different research works to resolve these issues. In this analysis work, energy efficient and secured data transmission techniques introduced by various authors has been discussed in detailed based on their working procedure and simulation methods. And also this research work provided the overall analysis of the research work based on merits and demerits and each and every technique discussed in the literature section. And also, this research work concluded with numerical evaluation between most recent works in terms of energy consumption and security level. This numerical evaluation is done in the NS2 simulation environment.


2015 ◽  
Vol 22 (2) ◽  
pp. 221-228
Author(s):  
Marek Wójcikowski

Abstract In this paper a prototype framework for simulation of wireless sensor network and its protocols are presented. The framework simulates operation of a sensor network with data transmission, which enables simultaneous development of the sensor network software, its hardware and the protocols for wireless data transmission. An advantage of using the framework is converging simulation with the real software. Instead of creating a model of the sensor network node, the same software is used in real sensor network nodes and in the simulation framework. Operation of the framework is illustrated with examples of simulations of selected transactions in the sensor network.


2013 ◽  
Vol 77 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Baolin Sun ◽  
Chao Gui ◽  
Ying Song ◽  
Hua Chen

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