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

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.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-22
DOI
https://doi.org/10.55041/ijsrem42665
Citations
1
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
1.49
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article

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

J. Saranya
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Energy Efficient Wireless Sensor Networks
1.49
article

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

J. Saranya
article en
1 citations

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 19%
Energy Efficient Wireless Sensor Networks
1.49
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DSR Protocol using Multiple Node Based Particle Swarm Optimization (MNPSO) Congestion Aware Algorithm in Wireless Sensor Network — J. Saranya · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS