Paper Info
Title
FFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networks.
Abstract
Energy-efficient and reliable data gathering using highly stable links in underwater wireless sensor networks (UWSNs) is challenging because of time and location-dependent communication characteristics of the acoustic channel. In this paper, we propose a novel dynamic firefly mating optimization inspired routing scheme called FFRP for the internet of UWSNs-based events monitoring applications. The proposed FFRP scheme during the events data gathering employs a self-learning based dynamic firefly mating optimization intelligence to find the highly stable and reliable routing paths to route packets around connectivity voids and shadow zones in UWSNs. The proposed scheme during conveying information minimizes the high energy consumption and latency issues by balancing the data traffic load evenly in a large-scale network. In additions, the data transmission over highly stable links between acoustic nodes increases the overall packets delivery ratio and network throughput in UWSNs. Several simulation experiments are carried out to verify the effectiveness of the proposed scheme against the existing schemes through NS2 and AquaSim 2.0 in UWSNs. The experimental outcomes show the better performance of the developed protocol in terms of high packets delivery ratio (PDR) and network throughput (NT) with low latency and energy consumption (EC) compared to existing routing protocols in UWSNs.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2976105
IEEE ACCESS
Keywords
DocType
Volume
Routing,Reliability,Routing protocols,Energy consumption,Optimization,Monitoring,Throughput,Internet of Underwater Things,bio-inspired routing,firefly mating optimization,underwater wireless sensor network,routing protocol
Journal
8
ISSN
Citations 
PageRank 
2169-3536
1
0.35
References 
Authors
0
7
Name
Order
Citations
PageRank
Muhammad Faheem1122.27
Rizwan Aslam Butt210.35
Basit Raza34310.67
Hani Alquhayz432.07
Muhammad Waqar Ashraf510.35
Saleem Raza610.35
Md. Asri Ngadi71288.87