Fuzzy based energy efficient underwater routing protocol

Sahana, Subrata; Singh, Karan

doi:10.1080/09720529.2019.1695901

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Sahana and Singh [15] provided a method for fuzzy-based CH selection that increases network longevity. Then, they created a fuzzy-based routing technique that significantly increases the packet transmission rate.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where a 1 & a 2 describes the delta di f f erence and distance neighbor , respectively. In Equation (15), delta di f f erence represents the difference, and distance neighbor denotes the average distance of node. delta di f f erence is employed as a condition for LB.…”

Section: Design Of Cepoc Techniquementioning

confidence: 99%

“…The overall weight should be equivalent to one. Every node's fitness value is defined in Equation (15), in which the values of parameters are employed and weight allocated to all the parameters.…”

Section: Design Of Cepoc Techniquementioning

confidence: 99%

See 2 more Smart Citations

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

Neelakandan¹,

Mohan

Alotaibi

et al. 2022

Sensors

126

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In recent years, the underwater wireless sensor network (UWSN) has received a significant interest among research communities for several applications, such as disaster management, water quality prediction, environmental observance, underwater navigation, etc. The UWSN comprises a massive number of sensors placed in rivers and oceans for observing the underwater environment. However, the underwater sensors are restricted to energy and it is tedious to recharge/replace batteries, resulting in energy efficiency being a major challenge. Clustering and multi-hop routing protocols are considered energy-efficient solutions for UWSN. However, the cluster-based routing protocols for traditional wireless networks could not be feasible for UWSN owing to the underwater current, low bandwidth, high water pressure, propagation delay, and error probability. To resolve these issues and achieve energy efficiency in UWSN, this study focuses on designing the metaheuristics-based clustering with a routing protocol for UWSN, named MCR-UWSN. The goal of the MCR-UWSN technique is to elect an efficient set of cluster heads (CHs) and route to destination. The MCR-UWSN technique involves the designing of cultural emperor penguin optimizer-based clustering (CEPOC) techniques to construct clusters. Besides, the multi-hop routing technique, alongside the grasshopper optimization (MHR-GOA) technique, is derived using multiple input parameters. The performance of the MCR-UWSN technique was validated, and the results are inspected in terms of different measures. The experimental results highlighted an enhanced performance of the MCR-UWSN technique over the recent state-of-art techniques.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Design Of Cepoc Techniquementioning

confidence: 99%

See 1 more Smart Citation

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

Neelakandan¹,

Mohan

Alotaibi

et al. 2022

Sensors

126

View full text Add to dashboard Cite

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“…In Zhang (2020), the energy-conscious devices provide RM based on a fixed priority scheduling algorithm. Sahana and Singh (2019) propose a fuzzy-based CH selection model to increase network life. Sinde et al (2020) describes the dual use of SNs to extend the energy and service life of the node network by forming reach-based clusters and time-sharing multiple access (TDMA).…”

Section: Related Workmentioning

confidence: 99%

Enhancing the energy efficiency by LEACH protocol in the internet of things

Lokhande¹,

Patil²

2022

IJCSE

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Internet of things (IoT) is the major application of wireless sensor networks (WSNs) with different objects that can be connected over the internet. In tele-robotic surgery, M2M communication between medical devices provides visual assistance and gives feedback on the progress of operation. The study presents energy efficient routing protocols (EERP) to enhance energy efficiency and prolong sensor node life using LEACH protocol. To make the communication reliable and robust, research shows the design of the medical sensor node network with LEACH protocol. After designing a network, a denial of service or man-in-middle attack is performed to analyse its impact on network performance. Based on the experimental results, the protocol can significantly extend the life of the WSN and improves energy efficiency. This makes the system more robust and reliable in the emerging area of the medical science.

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“…Courier nodes sends “join” message to neighbors nodes to form cluster. Fuzzy based energy efficient routing protocol in [ 23 ] proposes a fuzzy based cluster head selection model to improve the life span of network. Another clustering approach (CMSE2R) [ 24 ], the proposed protocol uses cluster based multipath shortest distance energy efficient routing for UWSNs.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Node Clustering for Underwater Sensor Networks

Khan

Bibi

Aadil

et al. 2021

Sensors

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Monitoring of an underwater environment and communication is essential for many applications, such as sea habitat monitoring, offshore investigation and mineral exploration, but due to underwater current, low bandwidth, high water pressure, propagation delay and error probability, underwater communication is challenging. In this paper, we proposed a sensor node clustering technique for UWSNs named as adaptive node clustering technique (ANC-UWSNs). It uses a dragonfly optimization (DFO) algorithm for selecting ideal measure of clusters needed for routing. The DFO algorithm is inspired by the swarming behavior of dragons. The proposed methodology correlates with other algorithms, for example the ant colony optimizer (ACO), comprehensive learning particle swarm optimizer (CLPSO), gray wolf optimizer (GWO) and moth flame optimizer (MFO). Grid size, transmission range and nodes density are used in a performance matrix, which varies during simulation. Results show that DFO outperform the other algorithms. It produces a higher optimized number of clusters as compared to other algorithms and hence optimizes overall routing and increases the life span of a network.

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Fuzzy based energy efficient underwater routing protocol

Cited by 7 publications

References 14 publications

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

Enhancing the energy efficiency by LEACH protocol in the internet of things

Adaptive Node Clustering for Underwater Sensor Networks

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