Synergy Optimized Routing Protocol for Multiobjective Optimization in Underwater Communication Networks

Underwater communication systems face challenges, including limited bandwidth, high latency, and void areas. This article introduces synergy optimization routing protocol (SORP) for Internet of Underwater (IoU) sensor networks, emphasizing link scheduling to address localization, energy consumption, latency, network longevity, and void regions. Leveraging belief-desire-intention (BDI) and fuzzy logic, SORP offers adaptive responses to varying network conditions. Theoretical modeling using NetLogo enhances the understanding of SORP’s behavior. In evaluation, SORP consistently outperforms others. Demonstrating superior energy efficiency (3.0–3.9) compared to PPWURC, state prediction-based data collection (SPDC), balanced routing protocol based on machine learning (BRP-ML) (40–120), and energy efficient clustering routing protocol based on arithmetic progression (5–6.5), SORP proves its efficacy. Latency analysis reveals SORP consistently displaying the lowest values (2.0–2.8), surpassing packet hierarchy and void processing, SPDC, and BRP-ML (8.3–30.0). With a perfect packet delivery ratio (PDR) of 98%, SORP showcases exceptional reliability. Network lifetime analysis positions SORP as a durable option, lasting from 3985 to 4010 rounds. Validation through an underwater communication system demonstrates speeds of 5 Mb/s and above. Simulation testing reveals a transmission speed of 80 bps with latency of less than 4 s and 98% PDR. Theoretical predictions indicate significant improvements in real-time transmission, reducing latency to less than 1 s with a speed of 5 Mb/s. This research presents an innovative and practical approach to address underwater communication challenges, highlighting the efficiency and reliability of SORP in routing protocols for underwater sensor networks. The combination of theoretical modeling and real-time testing offers a comprehensive understanding, emphasizing the potential real-world impact of SORP.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-11
DOI
https://doi.org/10.1109/jiot.2024.3496298
Citations
3
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergy Optimized Routing Protocol for Multiobjective Optimization in Underwater Communication Networks

Gautam Srivastava, Thippa Reddy Gadekallu, Ahmad Almadhor, Kiran Saleem et al.
3 citations
IEEE Internet of Things Journal
Underwater Vehicles and Communication Systems
1.01
article

Synergy Optimized Routing Protocol for Multiobjective Optimization in Underwater Communication Networks

Gautam Srivastava, Thippa Reddy Gadekallu, Ahmad Almadhor, Kiran Saleem, Lei Wang, R. Badlishah Ahmed
article en
3 citations

Abstract

Underwater communication systems face challenges, including limited bandwidth, high latency, and void areas. This article introduces synergy optimization routing protocol (SORP) for Internet of Underwater (IoU) sensor networks, emphasizing link scheduling to address localization, energy consumption, latency, network longevity, and void regions. Leveraging belief-desire-intention (BDI) and fuzzy logic, SORP offers adaptive responses to varying network conditions. Theoretical modeling using NetLogo enhances the understanding of SORP’s behavior. In evaluation, SORP consistently outperforms others. Demonstrating superior energy efficiency (3.0–3.9) compared to PPWURC, state prediction-based data collection (SPDC), balanced routing protocol based on machine learning (BRP-ML) (40–120), and energy efficient clustering routing protocol based on arithmetic progression (5–6.5), SORP proves its efficacy. Latency analysis reveals SORP consistently displaying the lowest values (2.0–2.8), surpassing packet hierarchy and void processing, SPDC, and BRP-ML (8.3–30.0). With a perfect packet delivery ratio (PDR) of 98%, SORP showcases exceptional reliability. Network lifetime analysis positions SORP as a durable option, lasting from 3985 to 4010 rounds. Validation through an underwater communication system demonstrates speeds of 5 Mb/s and above. Simulation testing reveals a transmission speed of 80 bps with latency of less than 4 s and 98% PDR. Theoretical predictions indicate significant improvements in real-time transmission, reducing latency to less than 1 s with a speed of 5 Mb/s. This research presents an innovative and practical approach to address underwater communication challenges, highlighting the efficiency and reliability of SORP in routing protocols for underwater sensor networks. The combination of theoretical modeling and real-time testing offers a comprehensive understanding, emphasizing the potential real-world impact of SORP.

IEEE Internet of Things JournalVol. 12(6)
Zhejiang A & F University (CN), Information Technology University (PK), Jouf University (SA), Dalian University of Technology (CN), Brandon University (CA)
Openalex Percentile: Top 24%
Underwater Vehicles and Communication Systems
1.01
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.