An energy-efficient multi-level adaptive clustering routing algorithm for underwater wireless sensor networks

Zhang, Wan; Liu, Shaojiang; Ni, Weichuan; Xu, Zhiming

doi:10.1007/s10586-018-2376-8

Cited by 62 publications

(40 citation statements)

References 16 publications

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“…Zhiping Wan et.al [12] proposed an energy efficient multilayer clustering algorithm where the sink node is placed in the centre and the network is divided into multiple layers.…”

Section: Related Workmentioning

confidence: 99%

Design of an Optimal Distributed Energy Efficient Hybrid Optical – Acoustic Cluster Based Routing Protocol (EEHCRP) to Minimize the Energy Consumption in Underwater Wireless Sensor Networks

Murgod*¹,

Sundaram²

2020

IJRTE

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For ocean exploration high speed data transmission is the emergent requirement. Acoustic sensor networks are available to support large distances but with lower data rates and also consume maximum energy. Optical networks can be used to support high speed data transmission but it cannot be used for larger distances. Underwater Wireless Sensor Networks (UWSN) suffer from large propagation delay, high bit error rates, limited bandwidth, uncontrolled node mobility, water current and limited resources. Hence there is an evolving requirement for design and use of an efficient routing protocol. In the proposed research, design of an Optimal Distributed Energy Efficient Hybrid Optical -Acoustic Cluster Based Routing Protocol (EEHCRP) to minimize the energy consumption in Underwater Wireless Sensor Networks is considered. To overcome these problems we propose an Energy Efficient Hybrid Optical-Acoustic Cluster Based Routing Protocol for Underwater Wireless Sensor Network (EEHCRP).In this research work we study various network parameters like network throughput, network life time, average energy consumption, end to end delay and data delivery ratio for mobile nodes ranging from 50 to 500. It is observed that there is an average increase of 0.9% network throughput in the proposed EEHRCP protocol compared to CBE2R protocol. The network life time is increased to 51.2 seconds with a decrease in 0.93% of energy consumption and 0.48 % decrease in end to end delay in the proposed protocol EEHRCP compared to CBE2R protocol. There is an increase in 0.95% of data delivery ratio using the proposed EEHRCP protocol compared to E-CBCCP protocol.

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“…Zhiping Wan et.al [12] proposed an energy efficient multilayer clustering algorithm where the sink node is placed in the centre and the network is divided into multiple layers.…”

Section: Related Workmentioning

confidence: 99%

Design of an Optimal Distributed Energy Efficient Hybrid Optical – Acoustic Cluster Based Routing Protocol (EEHCRP) to Minimize the Energy Consumption in Underwater Wireless Sensor Networks

Murgod*¹,

Sundaram²

2020

IJRTE

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“…If there is UEL=β, EL of node j in Sr i and node k in Sr i−1 are shown in Eqs. (16) and (17), respectively. As shown in Fig.…”

Section: Data Transmission Mode Based On El Consumptionmentioning

confidence: 99%

Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition

Pan

Qin

et al. 2019

J Wireless Com Network

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Considering the insufficient global energy consumption optimization of the existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced routing (IEBR), is designed in this paper for UWSN. The algorithm includes two stages: routing establishment and data transmission. During the first stage, a mathematical model is constructed for transmission distance to find the neighbors at the optimal distances and the underwater network links are established. In addition, IEBR will select relays based on the depth of the neighbors, minimize the hops in a link based on the depth threshold, and solve the problem of data transmission loop. During the second stage, the links built in the first stage are dynamically changed based on the energy level (EL) differences between the neighboring nodes in the links, so as to achieve energy balance of the entire network and extend the network lifetime significantly. Simulation results show that compared with other typical energy-balanced routing algorithms, IEBR presents superior performance in network lifetime, transmission loss, and data throughput.

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“…In [19], the authors proposed energy efficient multilevel cluster selection scheme in which a cluster head is selected on the basis of less radius from sink and high residual energy of the nodes. The novelty in the proposed scheme of [19] is the different level of cluster and competition stage for selecting the clustering head. To become a member of the competition stage, nodes of clusters must have residual energy above the calculated threshold energy and must be in a maximum radius of neighbor nodes.…”

Section: Related Workmentioning

confidence: 99%

“…To become a member of the competition stage, nodes of clusters must have residual energy above the calculated threshold energy and must be in a maximum radius of neighbor nodes. The unique method of clustering in [19] made the scheme energy efficient.…”

Section: Related Workmentioning

confidence: 99%

Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks

et al. 2018

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The unique characteristics of underwater environment such as long propagation delay, limited bandwidth, energy-constraint and non-uniform topology are big challenges in designing a routing protocol for underwater wireless sensor networks (UWSNs). In this paper, a novel routing scheme is proposed through which two mobile sinks are used for efficient collection of sensed data packets. Moreover, a new metric "Mobile Sink Utility Ratio (MUR)" is also introduced that helps in measuring the usage of mobile sink in the collection of data packets. The proposed scheme is rigorously evaluated and compared with current state-of-the-art routing protocols. The simulation of the proposed scheme shows promising results in terms of throughput, network lifetime, packet drop ratio and MUR.

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An energy-efficient multi-level adaptive clustering routing algorithm for underwater wireless sensor networks

Cited by 62 publications

References 16 publications

Design of an Optimal Distributed Energy Efficient Hybrid Optical – Acoustic Cluster Based Routing Protocol (EEHCRP) to Minimize the Energy Consumption in Underwater Wireless Sensor Networks

Design of an Optimal Distributed Energy Efficient Hybrid Optical – Acoustic Cluster Based Routing Protocol (EEHCRP) to Minimize the Energy Consumption in Underwater Wireless Sensor Networks

Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition

Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks

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