Comparative Analysis of Routing Algorithms for Underwater Sensor Network

Khan, Gulista; Dwivedi, R.; Gola, Kamal Kumar

doi:10.1007/978-981-13-3462-7_3

Cited by 13 publications

(3 citation statements)

References 23 publications

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“…UWSN came up to researchers as an interesting research area for the last few years due to the fact of ocean exploration improvement and fulfillment of numbers of underwater applications [6]. Unlike electromagnetic waves, underwater acoustic channels are characterized by a long propagation delay, high path loss, low data rates, and a limited bandwidth [7][8][9]. Furthermore, energy required to transmit data in acoustic channels is almost 100 times than the energy required to receive data [10,11].…”

Section: Related Workmentioning

confidence: 99%

CUMAC-CAM: a channel allocation aware MAC protocol for addressing triple hidden terminal problems in multi-channel UWSNs

et al. 2019

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In this paper, a cooperative underwater multi-channel MAC (CUMAC) protocol has been proposed with both delay mapping and channel allocation assessment in order to improve network performance and handle triple hidden terminal (THT) problems in underwater sensor networks. A novel channel allocation matrix (CAM) was developed for estimating propagation delay and increasing utilization of channel. In the proposed scheme, every node maintains a database for delay mapping, based on which the sender runs a scheduling algorithm prior to transmitting any data. This delay mapping database assists a node in predicting packet collision probability. The overall objectives are-first, to increase the rate of successful transmission through mitigation of THT problems in multi-channel underwater sensor networks; and second, to increase channel utilization leveraging the database of delay mapping and channel allocation assessment. Results from performance evaluation demonstrate the efficiency of the proposed CUMAC-CAM protocol in terms of packet delivery ratio, energy consumption, end-to-end delay, network throughput, collision probability, packet loss ratio and fairness index compared to the contemporary CUMAC protocol and RTS/CTS based multi-channel MAC protocols.

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Section: Related Workmentioning

confidence: 99%

CUMAC-CAM: a channel allocation aware MAC protocol for addressing triple hidden terminal problems in multi-channel UWSNs

et al. 2019

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“…The Underwater sensor networks (USNs) aims to perform a variety of tasks, including ocean sampling, environmental control, deep-sea investigation, pollution monitoring, and aided navigation, has recently become quite popular [1], [2]. In USNs, each sensor node (SN) is randomly placed throughout a region to gather data and transmit it to the final node (FN).…”

Section: Introductionmentioning

confidence: 99%

A Deep Reinforcement-Learning-Based Relay Selection for Underwater Sensors Network

Aftab,

Hussain,

Husain

et al. 2023

Journal of Smart Internet of Things

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Due to their limited frequency range and fast fading channels, underwater sensor networks (USNs) are vulnerable to collisions of packets. In this paper, we propose a deep reinforcement learning-based relay selection scheme with shortest latency (DRL-SL) for USNs that enables to choose the relay based on the state that comprised of the bit error rate (BER) of the previous transmission, and the jamming power measured by the relay node. The DRL-SL-based relay selection scheme completed in two phases. In the first phase, a deep neural network based learning is performed and second phase is the real-time interaction with the underwater sensor network. Numerical results give the bound on how efficiently the system performs in terms of bit error rate, energy use, and node utility. According to the numerical results, the proposed DRL-SL based relay selection scheme can enhance relay performance in comparison to the benchmark underwater relay techniques.

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“…Te wireless sensor network (WSN) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] consists of a large number of tiny sensor devices and a sink node. All sensor nodes have to sense the data; these sensed statistics will be sent collectively to the sink node.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Event Reliability Protocol for Wireless Communication Networks

Khan

Agarwal

Khapre³

et al. 2022

Mobile Information Systems

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Nowadays, WSN (wireless sensor networks) are used in every aspect of life. It consists of tiny sensor nodes that are capable of sensing, aggregating, dispensation, and sending data for end-user queries. Two major constraints in WSN are power consumption and reliability. As we know, power is limited per sensor node, so efficient utilization of power is needed all the way. Another constraint is reliability. Both constraints are in conflict with each other. If we try to increase reliability by sending the same packet on a different path, then it will increase power consumption. Many algorithms have been defined in the past to reduce power consumption and have reliable transmission. Basically, there are two types of reliability mechanisms: packet reliability and occurrence reliability. Package reliability explains about all packages must be reached at the destination. Event reliability ensures that at least one event should be successful in a specific region. This paper proposes an analysis model to evaluate the reliability of wireless sensor networks. In addition, this paper has proposed a reliability technique for events. The proposed algorithm has been simulated, analyzed, and compared with the already-published algorithms, namely BaseModel, SWIA, and ERP techniques.

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Comparative Analysis of Routing Algorithms for Underwater Sensor Network

Cited by 13 publications

References 23 publications

CUMAC-CAM: a channel allocation aware MAC protocol for addressing triple hidden terminal problems in multi-channel UWSNs

CUMAC-CAM: a channel allocation aware MAC protocol for addressing triple hidden terminal problems in multi-channel UWSNs

A Deep Reinforcement-Learning-Based Relay Selection for Underwater Sensors Network

An Energy-Efficient Event Reliability Protocol for Wireless Communication Networks

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