An Environment-Friendly Multipath Routing Protocol for Underwater Acoustic Sensor Network

Joint Authors

Su, Yishan
Li, Yun
Jin, Zhigang
Yang, Ming
Xiao, Shenyang

Source

Journal of Sensors

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-26

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

Underwater Acoustic Sensor Network (UASN) is a promising technique by facilitating a wide range of aquatic applications.

However, routing scheme in UASN is a challenging task because of the characteristics of the nodes mobility, interruption of link, and interference caused by other underwater acoustic systems such as marine mammals.

In order to achieve reliable data delivery in UASN, in this work, we present a disjoint multipath disruption-tolerant routing protocol for UASN (ENMR), which incorporates the Hue, Saturation, and Value color space (HSV) model to establish routing paths to greedily forward data packets to sink nodes.

ENMR applies the mechanism to maintain the network topology.

Simulation results show that, compared with the classic underwater routing protocols named PVBF, ENMR can improve packet delivery ratio and reduce network latency while avoiding introducing additional energy consumption.

American Psychological Association (APA)

Li, Yun& Jin, Zhigang& Su, Yishan& Yang, Ming& Xiao, Shenyang. 2017. An Environment-Friendly Multipath Routing Protocol for Underwater Acoustic Sensor Network. Journal of Sensors،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187676

Modern Language Association (MLA)

Li, Yun…[et al.]. An Environment-Friendly Multipath Routing Protocol for Underwater Acoustic Sensor Network. Journal of Sensors No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1187676

American Medical Association (AMA)

Li, Yun& Jin, Zhigang& Su, Yishan& Yang, Ming& Xiao, Shenyang. An Environment-Friendly Multipath Routing Protocol for Underwater Acoustic Sensor Network. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187676

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1187676