Paper Info
Title
Fault resilient routing based on moth flame optimization scheme for underwater wireless sensor networks.
Abstract
Fault resilient routing is a typical issue for underwater wireless sensor networks ($$ UWSNs $$) due to contact of underwater creatures, mobility of nodes and natural disaster. In the existing studies, most of the researchers introduced routing scheme for routing the packets towards the base station through a cluster head. However, these schemes use static or mobile nodes for deployment, but nodes move from its original position to another position and get stuck in a particular region due to ocean current, natural disaster and environmental interference. Therefore, this leads to high energy depletion, link failure, disjoint path and overloaded data. To resolve this issue, we have proposed fault resilient routing based on moth flame optimization ($$ MFO $$) scheme for transferring the packets towards the base station through autonomous underwater vehicles ($$ AUVs $$). In this scheme, $$ AUVs $$ is used instead of cluster head to avoid the reclustering, overloading problem and it also feasible for large scale networks. There may be a disjoint path issue, so we have deployed additional mobile nodes with the help of $$ AUVs $$ within the network. Further, a novel fitness function is integrated with the $$ MFO $$ scheme to overcome the link failure problem. The proposed scheme is applied to select the best forwarding node for transmitting the packets towards the nearest $$ AUVs $$ using multi-hop acoustic links. In $$ UWSNs $$, $$ AUVs $$ is placed to move the packets towards the $$ BS $$ from lower level to upper level. Performance evaluation of proposed scheme shows better result in terms of fault resilient, residual energy, network lifetime, packet delivery ratio and convergence rate than the existing scheme under the different network scenario.
Year
DOI
Venue
2020
10.1007/s11276-019-02209-x
Wireless Networks
Keywords
Field
DocType
Autonomous underwater vehicles, Fault resilient, Moth flame optimization, Routing, Underwater wireless sensor networks
Base station,Software deployment,Computer science,Moth flame optimization,Network packet,Computer network,Fitness function,Interference (wave propagation),Rate of convergence,Underwater
Journal
Volume
Issue
ISSN
26
2
1022-0038
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Sangeeta Kumari111.02
Pavan Kumar Mishra273.88
Veena Anand300.34