Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

REVOHPR: Relay-based Void Hole Prevention and Repair by Virtual Routing in Clustered Multi-AUV Underwater Wireless Sensor Network

Version 1 : Received: 19 June 2021 / Approved: 21 June 2021 / Online: 21 June 2021 (14:00:53 CEST)

How to cite: Chaaf, A.; Muthanna, M.S.A.; Muthanna, A.; Alhelaly, S.; Elgendy, I.A.; Iliyasu, A.M.; Abd El-Latif, A.A. REVOHPR: Relay-based Void Hole Prevention and Repair by Virtual Routing in Clustered Multi-AUV Underwater Wireless Sensor Network. Preprints 2021, 2021060514 (doi: 10.20944/preprints202106.0514.v1). Chaaf, A.; Muthanna, M.S.A.; Muthanna, A.; Alhelaly, S.; Elgendy, I.A.; Iliyasu, A.M.; Abd El-Latif, A.A. REVOHPR: Relay-based Void Hole Prevention and Repair by Virtual Routing in Clustered Multi-AUV Underwater Wireless Sensor Network. Preprints 2021, 2021060514 (doi: 10.20944/preprints202106.0514.v1).

Abstract

Underwater Wireless Sensor Networks (UWSN) enables various oceanic applications which require effective packet transmission. In this case, sparse node distribution, dynamic network topology and inappropriate selection of relay nodes cause void holes. Addressing this problem, we present a Relay based Void Hole Prevention and Repair protocol (ReVOHPR) by multiple Autonomous Underwater Vehicles (AUV) for UWSN. ReVOHPR efficiently identifies and avoids void holes and trap relay nodes to avoid it. ReVOHPR adopts the following operations as Ocean Depth (levels) based Equal Cluster Formation, Dynamic Sleep Scheduling, Virtual Graph based Routing, and Relay Assisted Void Hole Repair. For energy efficient cluster forming, Entropy based Eligibility Ranking (E2R) is presented which elects stable cluster heads (CHs). Then, dynamic sleep scheduling is implemented Dynamic Kernel Kalman Filter (DK2F) algorithm in which Sleep and Active modes based on the nodes current status. Inter Cluster Routing is performed by maximum matching nodes which selects by Dual criteria and also data transmitted to AUV. Finally, void holes are detected and repair by Bi-Criteria Mayfly Optimization (BiCMO) algorithm. The BiCMO focuses on reducing the number of holes, data packet loss and maximizes Quality of Service (QoS) and energy efficiency of the networks. This protocol is timely deal with node failures in packet transmission via multi-hop routing. Simulation is implemented by NS3 (AquaSim module) simulator that evaluates the performance in network simulation for following metrics as average energy consumption, delay, packet delivery rate and throughput.

Keywords

Underwater Wireless Sensor Network, Void Hole Prevention and Repair, Clustering, Virtual Routing, Multi-AUVs and Relay Selection

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