Implementation of Data Transmission Methodology for Multimedia in Wireless Sensor Network (WSN)

Wireless sensor networks (WSNs) confront specific hurdles in multimedia transmission (MMT) due to the low-cost, low-power sensor nodes. These nodes work together to gather and transmit environmental data; therefore, effective communication and resource management are critical. This paper introduces a cross-layer optimization strategy for MMT in WSNs which will select the best cluster heads to ensure multimedia data is delivered in a timely manner. This proposed method of optimizing WSNs applies the Prey-Predator Chasing (PPC) optimizer followed by multi-objective optimization to enhance cluster formation (clustering) and route formation (routing) toward transmitting data without interruptions. The method takes advantage of resource assignment, data routing, and improves performance factors related to optimizing applications. The extension of the PPC optimization method provides efficiency in WSN operation when dealing with error-sensitive multimedia data while minimizing energy and processing delay. The results obtained show and indicate that applying a cross-layer with this optimization enhanced throughput for WSNs and reduced energy consumption for those sensor nodes whilst enhancing WSN reliability and efficiency for multimedia communication.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2025-08-18
DOI
https://doi.org/10.7759/s44389-025-05806-4
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Data Transmission Methodology for Multimedia in Wireless Sensor Network (WSN)

R. V. Mante, Kamlesh A. Waghmare, Milind B. Waghmare, P. N. Chatur et al.
Cureus Journal of Computer Science.
IoT-based Smart Home Systems
article

Implementation of Data Transmission Methodology for Multimedia in Wireless Sensor Network (WSN)

R. V. Mante, Kamlesh A. Waghmare, Milind B. Waghmare, P. N. Chatur, Anil V. Deorankar, Nayan S Thorat
article en

Abstract

Wireless sensor networks (WSNs) confront specific hurdles in multimedia transmission (MMT) due to the low-cost, low-power sensor nodes. These nodes work together to gather and transmit environmental data; therefore, effective communication and resource management are critical. This paper introduces a cross-layer optimization strategy for MMT in WSNs which will select the best cluster heads to ensure multimedia data is delivered in a timely manner. This proposed method of optimizing WSNs applies the Prey-Predator Chasing (PPC) optimizer followed by multi-objective optimization to enhance cluster formation (clustering) and route formation (routing) toward transmitting data without interruptions. The method takes advantage of resource assignment, data routing, and improves performance factors related to optimizing applications. The extension of the PPC optimization method provides efficiency in WSN operation when dealing with error-sensitive multimedia data while minimizing energy and processing delay. The results obtained show and indicate that applying a cross-layer with this optimization enhanced throughput for WSNs and reduced energy consumption for those sensor nodes whilst enhancing WSN reliability and efficiency for multimedia communication.

Cureus Journal of Computer Science.
Openalex Percentile: Top 80%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementation of Data Transmission Methodology for Multimedia in Wireless Sensor Network (WSN) — R. V. Mante, Kamlesh A. Waghmare, et al. · Cureus Journal of Computer Science. (2025) | TGRS Research Map | TGRS