EROP: A Logical 5G Enabled Data Communication with Improved Packet Delivery Ratio Using Enhanced Route Optimization Protocol over WSN Platform

Due to their instability, mobile nodes in a network cannot be reliably served by single-path communication. Under the enormous load, communication becomes extremely challenging on the alternate single way. There is no way to know for sure how much data will be lost due to packet loss in this network because of the shaky connections between mobile nodes. To accomplish legitimate packet transfer, the communication expense is furthermore concentrated. Reason being, communication becomes prohibitively expensive when a long-distance route is chosen for packet delivery. Both the energy usage and the rate of packet loss are increased. In order to find the optimal minimal distance routing path, the Enhanced Route Optimization Protocol (EROP) is built. This approach uses queue variation to manage data packet maintenance when the time slot surpasses its limit. Message Queuing Telemetry Transport (MQTT), a traditional model, is cross-validated using this suggested approach to assess the proposed scheme's efficiency. The effectiveness of packet broadcasting is enhanced by keeping packets waiting. A link-based route packet overload detection technique is built into the multipath jamming detection algorithm to identify packet overload. To prevent overload, user should also segment the route according to its properties and lowers the rate of packet loss and energy usage.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910832
Citations
1
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.35
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article

EROP: A Logical 5G Enabled Data Communication with Improved Packet Delivery Ratio Using Enhanced Route Optimization Protocol over WSN Platform

Ayman Amer, B. Padmavathi, S. P. Raut, P. Vijayakumari et al.
1 citations
Energy Efficient Wireless Sensor Networks
0.35
article

EROP: A Logical 5G Enabled Data Communication with Improved Packet Delivery Ratio Using Enhanced Route Optimization Protocol over WSN Platform

Ayman Amer, B. Padmavathi, S. P. Raut, P. Vijayakumari, K. Saravanan, K. Mekala Devi
article en
1 citations

Abstract

Due to their instability, mobile nodes in a network cannot be reliably served by single-path communication. Under the enormous load, communication becomes extremely challenging on the alternate single way. There is no way to know for sure how much data will be lost due to packet loss in this network because of the shaky connections between mobile nodes. To accomplish legitimate packet transfer, the communication expense is furthermore concentrated. Reason being, communication becomes prohibitively expensive when a long-distance route is chosen for packet delivery. Both the energy usage and the rate of packet loss are increased. In order to find the optimal minimal distance routing path, the Enhanced Route Optimization Protocol (EROP) is built. This approach uses queue variation to manage data packet maintenance when the time slot surpasses its limit. Message Queuing Telemetry Transport (MQTT), a traditional model, is cross-validated using this suggested approach to assess the proposed scheme's efficiency. The effectiveness of packet broadcasting is enhanced by keeping packets waiting. A link-based route packet overload detection technique is built into the multipath jamming detection algorithm to identify packet overload. To prevent overload, user should also segment the route according to its properties and lowers the rate of packet loss and energy usage.

SRM Institute of Science and Technology (IN), Zarqa University (JO), Yashwantrao Chavan Maharashtra Open University (IN), KPR Institute of Engineering and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 33%
Energy Efficient Wireless Sensor Networks
0.35
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EROP: A Logical 5G Enabled Data Communication with Improved Packet Delivery Ratio Using Enhanced Route Optimization Protocol over WSN Platform — Ayman Amer, B. Padmavathi, et al. · (2024) | TGRS Research Map | TGRS