A Two-Stage Routing Protocol for Partitioned Underwater Wireless Sensor Networks

Islam, Tariq; Park, Seok-Hwan

doi:10.3390/sym12050783

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Table 2 shows a comparison summary of various existing works [28][29][30][31][32][33] that have studied the main elements of energy consumption minimization and void hole avoidance and mitigation in UWSN that address the critical issues related to clustering, node sleep scheduling, routing, and hole mitigation.…”

Section: Lietarture Reviewmentioning

confidence: 99%

Energy-Efficient Relay-Based Void Hole Prevention and Repair in Clustered Multi-AUV Underwater Wireless Sensor Network

Chaaf

Muthanna

et al. 2021

Security and Communication Networks

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Underwater wireless sensor networks (UWSNs) enable various oceanic applications which require effective packet transmission. In this case, sparse node distribution, imbalance in terms of overall energy consumption between the different sensor nodes, 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 (ReVOHPR) protocol by multiple autonomous underwater vehicles (AUVs) for UWSN. ReVOHPR is a global solution that implements different phases of operations that act mutually in order to efficiently reduce and identify 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 by the dynamic kernel Kalman filter (DK2F) algorithm in which sleep and active modes are based on the node’s current status. Intercluster routing is performed by maximum matching nodes that are selected by dual criteria, and also the data are transmitted to AUV. Finally, void holes are detected and repaired by the bicriteria mayfly optimization (BiCMO) algorithm. The BiCMO focuses on reducing the number of holes and data packet loss and maximizes the quality of service (QoS) and energy efficiency of the network. This protocol is timely dealing with node failures in packet transmission via multihop routing. Simulation is implemented by the NS3 (AquaSim module) simulator that evaluates the performance in the network according to the following metrics: average energy consumption, delay, packet delivery rate, and throughput. The simulation results of the proposed REVOHPR protocol comparing to the previous protocols allowed to conclude that the REVOHPR has considerable advantages. Due to the development of a new protocol with a set of phases for data transmission, energy consumption minimization, and void hole avoidance and mitigation in UWSN, the number of active nodes rate increases with the improvement in overall QoS.

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Section: Lietarture Reviewmentioning

confidence: 99%

Energy-Efficient Relay-Based Void Hole Prevention and Repair in Clustered Multi-AUV Underwater Wireless Sensor Network

Chaaf

Muthanna

et al. 2021

Security and Communication Networks

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“…In [26] authors proposes a two-stage routing protocol. The main of this protocol is to enable communication between not only connected nodes but also for non-connected or partially connected nodes so that the packet delivery rate will be improved.…”

Section: Lietarture Reviewmentioning

confidence: 99%

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

Chaaf¹,

Msa²,

Muthanna³

et al. 2021

Preprint

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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.

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“…Underwater sensor nodes move passively with water currents [26]. Node mobility coupled with the slow speed of acoustic waves results in inaccurate location estimates.…”

Section: ) Mobility Considerationmentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

Self Cite

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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

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A Two-Stage Routing Protocol for Partitioned Underwater Wireless Sensor Networks

Cited by 4 publications

References 30 publications

Energy-Efficient Relay-Based Void Hole Prevention and Repair in Clustered Multi-AUV Underwater Wireless Sensor Network

Energy-Efficient Relay-Based Void Hole Prevention and Repair in Clustered Multi-AUV Underwater Wireless Sensor Network

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

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

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