E‐VAR: enhanced void avoidance routing algorithm for underwater acoustic sensor networks

Nazareth, Pradeep; Chandavarkar, B. R.

doi:10.1049/iet-wss.2019.0032

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…For energy efficiency measures, the fusion data indicating the input information is forwarded to the node. Nazareth and Chandavarkar 15 presented an information gathering and fusion method involving portable SN collection centers. The data elements are chosen regularly.…”

Section: Related Workmentioning

confidence: 99%

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks

Lilhore¹,

Khalaf

Simaiya

et al. 2022

International Journal of Distributed Sensor Networks

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Underwater wireless sensor network attracted massive attention from researchers. In underwater wireless sensor network, many sensor nodes are distributed at different depths in the sea. Due to its complex nature, updating their location or adding new devices is pretty challenging. Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity of repairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wireless sensor network. An imbalance in power consumption can cause poor performance and a limited network lifetime. To overcome these issues, we propose a depth controlled with energy-balanced routing protocol, which will be able to adjust the depth of lower energy nodes and be able to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. The proposed model also utilized an enhanced back propagation neural network for data fusion operation, which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimum energy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission. In the proposed energy-efficient routing protocol, an enhanced cluster head node is used to select a strategy that can analyze the remaining energy and directions of each participating node. In the simulation, the proposed model achieves 86.7% packet delivery ratio, 12.6% energy consumption, and 10.5% packet drop ratio over existing depth-based routing and energy-efficient depth-based routing methods for underwater wireless sensor network.

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Section: Related Workmentioning

confidence: 99%

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks

Lilhore¹,

Khalaf

Simaiya

et al. 2022

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…Nazareth and Chandavarkar [14] for prohibiting void nodes from taking part in the data transmission process. This is achieved by creating void awareness amidst acoustic nodes.…”

Section: Introductionmentioning

confidence: 99%

Instantaneous channel characteristics and progression factor based collaborative routing

Ramasamy¹,

Sudha²

2022

IJEECS

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Underwater acoustic sensor networks (UWASN) have enormous applications like investigating oceanographic environment, data gathering, scrutiny, calamity avoidance etc. Cooperative communication becomes mandatory when nodes are distributed far apart especially in the ocean environment. The existing relay selection techniques do not consider the instantaneous channel characteristics while selecting the relay nodes. The relays selected based on the outdated channel state information aggravates or worsens the performance of the rapidly changing or dynamic UWASN. Hence, this paper proposes an instantaneous channel characteristics and progression factor (ICPF) based collaborative routing for underwater acoustic sensor networks. It considers numerous indexes such as propagation delay, residual energy, progression factor, spreading, transmission and absorption loss in the forwarding relay node selection. These indexes are averaged and updated periodically to overcome the difficulties caused by the inconsistency and aggressive nature of underwater channel. The progression factor proposed in this work is a prime metric that facilitates efficient data forwarding. Simulation results show that the proposed technique outperforms the existing schemes in terms of packet delivery ratio (PDR), average end to end delay and energy consumption and is capable of achieving PDR of 90.1% for network comprising of 100 acoustic nodes.

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Cluster-Based Multi-attribute Routing Protocol for Underwater Acoustic Sensor Networks

Nazareth,

Chandavarkar

2024

Wireless Pers Commun

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E‐VAR: enhanced void avoidance routing algorithm for underwater acoustic sensor networks

Cited by 6 publications

References 28 publications

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks

Instantaneous channel characteristics and progression factor based collaborative routing

Cluster-Based Multi-attribute Routing Protocol for Underwater Acoustic Sensor Networks

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