Increasing the Amount of Data and Reducing the Cost of Using Network Coding in Wireless Sensor Networks

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Kharati Ehsan

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2020 | Volume:12 | Issue:43-44 Page(s): 39-54

Download Full-Text

Persian Verion

View:

368

Download:

Cites:

Information Journal Paper

Title

Increasing the Amount of Data and Reducing the Cost of Using Network Coding in Wireless Sensor Networks

Author(s)

Kharati Ehsan | Issue Writer Certificate

Keywords

Wireless Sensor NetworksQ1

Network CodingQ1

Optional RouteQ1

BandwidthQ1

Abstract

This paper presents an optimization model to increase the amount of data collected and balance the Bandwidth consumption of the edges and uses Network Coding. To solve this model, the dual method is used and to calculate a lower bound and find the optimal answer and point in the optimization model, the Karush-KunTucker condition is used, which requires calculating the derivative of the Lagrangian function with respect to its variables. Solving this problem and equations in polynomial time is very difficult, time consuming and almost impractical due to the involvement of different parameters and limited resources of Wireless Sensor Networks with a large number of nodes, so to solve this problem, a distributed and iterative algorithm is proposed. It uses the sub gradient method and the network flow separation method. The effectiveness of the proposed model and algorithm has been investigated by simulation in terms of number of source sensor nodes, Lagrangian coefficient and step size. Up to 23% of Bandwidth consumed, average network life and energy consumed.

Cites

No record.

References

No record.

Cite

APA: Copy

Kharati, Ehsan. (2020). Increasing the Amount of Data and Reducing the Cost of Using Network Coding in Wireless Sensor Networks. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 12(43-44 ), 39-54. SID. https://sid.ir/paper/369453/en

Vancouver: Copy

Kharati Ehsan. Increasing the Amount of Data and Reducing the Cost of Using Network Coding in Wireless Sensor Networks. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2020;12(43-44 ):39-54. Available from: https://sid.ir/paper/369453/en

IEEE: Copy

Ehsan Kharati, “Increasing the Amount of Data and Reducing the Cost of Using Network Coding in Wireless Sensor Networks,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 12, no. 43-44 , pp. 39–54, 2020, [Online]. Available: https://sid.ir/paper/369453/en

Related Journal Papers