Void-hole aware and reliable data forwarding strategy for underwater wireless sensor networks

Omar Adil Mahdi; Ahmed Basil Ghazi; Yusor Rafid Bahar Al-Mayouf

doi:10.1515/jisys-2020-0137

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Publication Date

Fri Jan 01 2021

Journal Name

Journal Of Intelligent Systems

Volume

30

DOI

10.1515/jisys-2020-0137

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Void-hole aware and reliable data forwarding strategy for underwater wireless sensor networks

underwater WSNs

void-hole

routing

energy efficiency

reliability

Omar Adil Mahdi

Ahmed Basil Ghazi

Yusor Rafid Bahar Al-Mayouf

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AbstractReliable data transfer and energy efficiency are the essential considerations for network performance in resource-constrained underwater environments. One of the efficient approaches for data routing in underwater wireless sensor networks (UWSNs) is clustering, in which the data packets are transferred from sensor nodes to the cluster head (CH). Data packets are then forwarded to a sink node in a single or multiple hops manners, which can possibly increase energy depletion of the CH as compared to other nodes. While several mechanisms have been proposed for cluster formation and CH selection to ensure efficient delivery of data packets, less attention has been given to massive data communication processes with sink node. As such, failure in communicating nodes would lead to a significant network void-holes problem. Considering the limited energy resources of nodes in UWSNs along with the heavy load of CHs in the routing process, this paper proposes a void-holes aware and reliable data forwarding strategy (VHARD-FS) in a proactive mode to control data packets delivery from CH nodes to the sink in UWSNs. In the proposed strategy, each CH node is aware of its neighbor’s performance ranking index to conduct a reliable packet transmission to the sink via the most energy-efficient route. Extensive simulation results indicate that the VHARD-FS outperforms existing routing approaches while comparing energy efficiency and network throughput. This study helps to effectively alleviate the resource limitations associated with UWSNs by extending network life and increasing service availability even in a harsh underwater environment.

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Lina

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SDN

Smart Agent

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Bilal R.

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Publication Date

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Journal Name

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Fri Apr 26 2019

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CA 15-3

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Saliva

MLP

SLR

J48

data mining

OneR

Iraq

Suhad Faisal

Mustafa S.

Iyden Kamil

Maha Mohammed

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