Data Uploading Strategy for Underwater Wireless Sensor Networks

Huang, Xiangdang; Sun, Shijie; Yang, Qiuling

doi:10.3390/s19235265

Cited by 11 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It follows an object‐oriented design style and supports 3D deployment. Our proposed scheme ADMSDG is compared with existing efficient data gathering schemes EDG 18 and DUDMM 19 . The performance is evaluated based on the metrics data collection delay, accuracy and residual energy.…”

Section: Resultsmentioning

confidence: 99%

“…Here, it assumes that all the sensor nodes are static. Huang et al 19 have suggested a data transmitting approach based on the high resemblance and data compression of the gathered data. This approach based on decision making proficiently enhances the energy depletion of the systems.…”

Section: Related Workmentioning

confidence: 99%

“…For every network, it is much required to maintain the energy level for maintaining the connectivity and functionality of the network 19 . The total energy consumption

((), E_{italictot})

of data uploading at each sensor comprises the energy consumption of sending

((), E_{italictx})

and the energy consumption of receiving

((), E_{italicrx})

and is calculated as

E_{tot} goodbreak= E_{tx} goodbreak+ E_{rx} .

…”

Section: Proposed Solutionmentioning

confidence: 99%

See 2 more Smart Citations

A rendezvous point‐based data gathering in underwater wireless sensor networks for monitoring applications

Choudhary

Goyal

2022

Int J Communication

View full text Add to dashboard Cite

Summary In underwater wireless sensor networks (UWSNs), most of the mobile sink data gathering scheme assumes that sensor nodes are static. Also, very limited set of works aim to eliminate the data redundancy during data gathering. Moreover, the data collection latency, error rate and load have to be considered in addition to the buffer space and energy level of the nodes. Here, a mobile sink data gathering technique is designed where rendezvous points (RPs) and sojourn times are selected. The RPs, where the mobile sinks stop to gather the data, are selected based on the node density, current traffic load and energy level of nodes. The proposed scheme, that is, adaptive distributed mobile sink data gathering (ADMSDG), eliminates data redundancy even by considering mobility of all the nodes including sink node. Here, multihop data gathering is also considered to address the energy hole problem near the sink based on similarity index. To examine the result, proposed scheme and other state‐of‐the‐art schemes are implemented in NS2.30 having the same environment. Obtained results show that when proposed scheme is experimented with respect to number of nodes, the proposed ADMSDG technique achieves 18% high data collection accuracy with 5% reduced data collection delay and 5% less energy consumption. Similarly, when proposed scheme is experimented with respect to transmission range, the proposed ADMSDG technique achieves 18% high data collection accuracy with 12% reduced data collection delay and 8% less energy consumption.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…For every network, it is much required to maintain the energy level for maintaining the connectivity and functionality of the network 19 . The total energy consumption

((), E_{italictot})

of data uploading at each sensor comprises the energy consumption of sending

((), E_{italictx})

and the energy consumption of receiving

((), E_{italicrx})

and is calculated as

E_{tot} goodbreak= E_{tx} goodbreak+ E_{rx} .

…”

Section: Proposed Solutionmentioning

confidence: 99%

See 1 more Smart Citation

A rendezvous point‐based data gathering in underwater wireless sensor networks for monitoring applications

Choudhary

Goyal

2022

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Wan et al [20] suggested an energy efficient scheme based on multilevel cluster selection criteria which aim to choose cluster head according to high residual energy and less radius from sink. An energy efficient routing protocol based on clustering is simulated in [21] for UWSNs. Authors proposed that clustering technique is useful to reduce energy resources consumption for a sensor network.…”

Section: Relevant Research Workmentioning

confidence: 99%

Investigating Transmission Power Control Strategy for Underwater Wireless Sensor Networks

Mohsan¹,

Hussain²,

Mazinani³

et al. 2020

IJACSA

View full text Add to dashboard Cite

Underwater wireless sensor network (UWSN) has proven its high stature in both civil and military operations including underwater life monitoring, communication and invasion detection. However, UWSNs are vulnerable to a wide class of power consumption issues. Underwater sensor nodes consume power provided by integrated limited batteries. It is a challenging issue to replace these batteries under harsh aquatic conditions. Thus, in an energy-constrained underwater system it is pivotal to seek strategies for improving the life expectancy of the sensors. In this paper, we propose transmission power control mechanism for underwater wireless sensor networks (UWSNs). We experimentally investigate the impact of transmission power and propose a control mechanism to enhance the performance of underwater wireless sensor network. In this proposed mechanism, source nodes will adjust its transmission power according to the location of destination node. This paper aims to provide a mechanism which is incorporated in SEEC. This study also outlines the mathematical modeling for proposed idea. Moreover, we have compared results of our scheme with previous implemented schemes.

show abstract

“…In [14], network lifetime of UWSNs is maximized by the assistance of sink mobility with geographic routing protocol. A reliable energy efficient routing protocol based on clustering is simulated [15] for UWSNs. Authors proposed that clustering technique is useful to reduce energy resources consumption for a sensor network.…”

Section: Relevant Research Workmentioning

confidence: 99%

Impact of Circular Field in Underwater Wireless Sensor Networks

Mohsan¹,

Ali²,

Mahmood³

et al. 2020

IJACSA

View full text Add to dashboard Cite

Underwater Wireless Sensor Networks (UWSNs) face challenges regarding high propagation delay, limited bandwidth, 3D topology and excessive energy consumptions. In this paper, a routing scheme with circular field is proposed for an efficient collection of data packets by using two mobile sinks in UWSNs. Results of proposed scheme are compared with previous implemented schemes which are used to measure the usage of mobile sink in the collection of data packets. In this study, we have compared the proposed scheme with current state-of-the-art routing protocols. The statistical significance of this work was analyzed in MATLAB. Marked observations to emerge from obtained results include an improvement in lifetime, increased throughput, increment in alive nodes and balanced energy consumption. In our view, these results strengthen the validity of proposed circular field. A significant increase in received packets is observed because maximum nodes are alive till 1500 rounds which provide maximum communication and less chance of creating void holes.

show abstract

Data Uploading Strategy for Underwater Wireless Sensor Networks

Cited by 11 publications

References 37 publications

A rendezvous point‐based data gathering in underwater wireless sensor networks for monitoring applications

A rendezvous point‐based data gathering in underwater wireless sensor networks for monitoring applications

Investigating Transmission Power Control Strategy for Underwater Wireless Sensor Networks

Impact of Circular Field in Underwater Wireless Sensor Networks

Contact Info

Product

Resources

About