research-article

Depth based routing protocol using smart clustered sensor nodes in underwater WSN

Authors:

Syed Bilal Hussain Shah,

Seema BegumAuthors Info & Claims

ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

Article No.: 53, Pages 1 - 7

https://doi.org/10.1145/3231053.3231119

Published: 26 June 2018 Publication History

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Abstract

The underwater wireless sensor networks have been receiving a great attention towards the ocean monitoring systems in the past couple of years. They have different characteristics comparing with the territorial WSN, including the constrained bandwidth and limited power supply. Though, more work has been completed for developing protocols and models based on the terrestrial networks. These applications can rarely be applied for the applications and the products based on the underwater wireless sensor networks. Major works have been placed on the designing of the standard protocol with considerations of the underwater communication characteristics. With the use of the sensor nodes, more energy can be saved. The proposed system is based on the process of depth based routing protocol and it will be the basic idea of the proposed paper. The depth routing protocol is adapted into the process of checking the depth of sensor nodes. The cluster based routing protocol, is used in this paper for minimizing the consumption ratio of the energy and distributing the nodes equally to all the functions. The nodes may be damaged due to high load in the current system.

The main issue will be faced is, constructing a standard clustering algorithm. In this paper, the underwater wireless sensor networks context term will be clustering and it will contribute the purpose of efficient use of the energy resources. The energy that is consumed by each node will be processed with equal probability for the selection of cluster head. Based on this type of processing, the stable time period of the network will be improved in the depth base routing (DBR). The cluster depth routing protocol will be used for forwarding the packets. By using this, it will maximize the overall performance of the network. The comparison is done on the various types of protocols used in it.

References

[1]

Shah, S.B.H., Chen, Z., Yin, F et al. Peer-to-Peer Netw. Appl. (2017).

Google Scholar

[2]

H. Yu, N. Yao, Z. Gao, Z. Lu and B. Chen, "Improved DBR Routing Protocol for Underwater Acoustic Sensor Networks", Sensor Letters, vol. 12, no. 2, pp. 230--235, 2014.

Crossref

Google Scholar

[3]

M. Ashrafuddin, M. Islam and M. Mamun-or-Rashid, "Energy Efficient Fitness Based Routing Protocol for Underwater Sensor Network", International Journal of Intelligent Systems and Applications, vol. 5, no. 6, pp. 61--69, 2013.

Crossref

Google Scholar

[4]

Syed Bilal Hussain Shah, Zhe Chen, and Fuliang Yin. 2017. OPEN: Optimized Path Planning Algorithm with Energy Efficiency and Extending Network-Lifetime in WSN. CIT Journal of Computing and Information Technology, 25, 1 (2017), 1--14.

Google Scholar

[5]

C. Li, Y. Xu, B. Diao, Q. Wang and Z. An, "DBR-MAC: A Depth-Based Routing Aware MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks", IEEE Sensors Journal, vol. 16, no. 10, pp. 3904--3913, 2016.

Crossref

Google Scholar

[6]

B. Diao, Y. Xu, Z. An, F. Wang and C. Li, "Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks", International Journal of Distributed Sensor Networks, vol. 2015, pp. 1--9, 2015.

Digital Library

Google Scholar

[7]

T. Khan, "Clustering depth based routing for underwater wireless sensor networks", 2016.

Google Scholar

[8]

Y. Sun and X. Gu, "Clustering Routing Based Maximizing Lifetime for Wireless Sensor Networks", International Journal of Distributed Sensor Networks, vol. 5, no. 1, pp. 88--88, 2009.

Digital Library

Google Scholar

[9]

S. Bilal S,Z Chen,F Yin et al, "Energy and interoperable aware routing for throughput optimization in clustered IoT-wireless sensor networks", Future Generation Computer Systems Volume 81, April 2018, Pages 372--381.

Digital Library

Google Scholar

[10]

"An Energy Efficient Localization-Free Routing Protocol for Underwater Wireless Sensor Networks - Apr 09, 2012", Journals.sagepub.com, 2016. {Online}. Available: {Accessed: 28- Dec- 2016}.

Google Scholar

[11]

S. Mahmood, H. Nasir, S. Tariq, H. Ashraf, M. Pervaiz, Z. Khan and N. Javaid, "Forwarding Nodes Constraint based DBR (CDBR) and EEDBR (CEEDBR) in Underwater WSNs", 2016.

Google Scholar

[12]

L. Sushruta Mishra, "Study of Cluster Based Routing Protocols in Wireless Sensor Networks", Ijser.org, 2016. {Online}. Available: http://www.ijser.org/paper/Study-of-Cluster-Based-Routing-Protocols-in-Wireless-Sensor-Networks.html. {Accessed: 28- Dec- 2016}.

Google Scholar

[13]

J. Karaki, "Analysis of routing security-energy trade-offs in wireless sensor networks", International Journal of Security and Networks, vol. 1, no. 34, p. 147, 2006.

Digital Library

Google Scholar

[14]

Syed Bilal Hussian Shah, Zhe Chen, Fuliang Yin, et al, "3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices", Sustainable Cities and Society, Volume 39, May 2018, Pages 298--308

Crossref

Google Scholar

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Published In

ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

June 2018

469 pages

ISBN:9781450364287

DOI:10.1145/3231053

General Chairs:
Abdelrahman Abuarqoub
Middle East University, Jordan
,
Bamidele Adebisi
Manchester Metropolitan University, UK
,
Program Chairs:
Mohammad Hammoudeh
Manchester Metropolitan University, UK
,
Sharefa Murad
Middle East University, Jordan
,
Mounir Arioua
National School of Applied Sciences, Morocco

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Association for Computing Machinery

New York, NY, United States

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Published: 26 June 2018

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ICFNDS'18: International Conference on Future Networks and Distributed Systems

June 26 - 27, 2018

Amman, Jordan

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Li MDong WZheng XCarie ATian Y(2022)A Bi-Level Stochastic Model with Averse Risk and Hidden Information for Cyber-Network InterdictionProceedings of International Conference on Computing and Communication Networks10.1007/978-981-19-0604-6_49(523-538)Online publication date: 9-Jul-2022
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Li MMao NZheng XGadekallu T(2022)Computation Offloading in Edge Computing Based on Deep Reinforcement LearningProceedings of International Conference on Computing and Communication Networks10.1007/978-981-19-0604-6_28(339-353)Online publication date: 9-Jul-2022
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