Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42665
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
3/22/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...