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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42665

DSR Protocol using Multiple Node Based Particle Swarm Optimization (MNPSO) Congestion Aware Algorithm in Wireless Sensor Network

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42665

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42665

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

J1aD2

J.Saranya 1 and Dr.P.Bharathisindhu 2

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Abstract

In order to adapt to the emerging modern world, the use of various techniques in the WSN is to make data transmission faster. In WSN, a variety of techniques are employed to sense and communicate the surrounding environment. During the data transmission time, different types of optimization and algorithms are used to avoid packet losses and time delays. In this present Multiple Node-based Particle Swarm Optimization (MNPSO) algorithm, the optimal rendezvous points are selected, and the energy consumption and packet loss rate are also reduced. The MNPSO algorithm is used to determine the area where the cluster head node is located and how to reduce the delay of data transmission between sources and destinations. Then the shortest path routing is ensured by using the DSR protocol, which is used for fast data collection during data communication for WSN. DSR discovers the best path between SNs, and it denotes the node containing the minimum distance and faster packet transmission in WSN. Also, it avoids congestion; hence, packet loss and routing overhead are reduced prominently.

KEYWORDS

Congestion control Location finding Energy consumption Control packets Data transmission.

Cite This Article

J.Saranya 1 and Dr.P.Bharathisindhu 2, "DSR Protocol using Multiple Node Based Particle Swarm Optimization (MNPSO) Congestion Aware Algorithm in Wireless Sensor Network," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42665

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Publication Date

3/22/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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The authors declare no conflict of interest related to this research work.

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