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Provisioning Intelligent Water Wave Optimization Approach for Underwater Acoustic Wireless Sensor Networks

M. Manikandan1,*, A. Rajiv Kannan

1 Department of Computer Science and Engineering, Vidhyaa Vikas College of Engineering and Technology, Tiruchengode, Namakkal, Tamilnadu, India
2 Department of Computer Science and Engineering, KSR College of Engineering (Autonomous), Tiruchengode, Namakkal, Tamilnadu, India

* Corresponding Author: M. Manikandan. Email:

Computer Systems Science and Engineering 2022, 43(2), 625-641.


In the Acoustics channel, it is incredibly challenging to offer data transfer for time-sourced applications in an energy-efficient manner due to higher error rate and propagation delay. Subsequently, conventional re-transmission over any failure generally initiates significantly larger end-to-end delay, and therefore it is not probable for time-based services. Moreover, standard techniques without any re-transmission consume enormous energy. This investigation proposes a novel multi-hop energy-aware transmission-based intelligent water wave optimization strategy. It ensures reduced end-to-end while attaining potential amongst overall energy efficiency end-to-end packet delay. It merges a naturally inspired meta-heuristic approach with multi-hop routing for data packets to reach the destination. The appropriate design of this Meta heuristic-based energy-aware scheme consumes lesser energy than the conventional one-hop transmission strategy without re-transmission. However, there is no hop-by-hop re-transmission facilitated. The proposed model shows only lesser delay than conventional methods with re-transmission. This work facilitates extensive work to carry out the proposed model performance with the MATLAB simulation environment. The results illustrate that the model is exceptionally energy-efficient with lesser packet delays. With 500 nodes, the packet delivery ratio of proposed model is 100%, average delay is reduced by 2%, total energy consumption is 8 J, average packet redundancy is 1.856, and idle energy is 6.9Mwh. The proposed model outperforms existing approaches like OSF, AOR, and DMR respectively.


Cite This Article

M. Manikandan and A. Rajiv Kannan, "Provisioning intelligent water wave optimization approach for underwater acoustic wireless sensor networks," Computer Systems Science and Engineering, vol. 43, no.2, pp. 625–641, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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