Reliable and energy efficient cluster-based architecture for underwater wireless sensor networks

Q4 Business, Management and Accounting International Journal of Mobile Network Design and Innovation Pub Date : 2018-03-05 DOI:10.1504/IJMNDI.2018.10011191
D. Anuradha, S. Srivatsa
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引用次数: 2

Abstract

Underwater wireless sensor network (UWSN) provides a promising solution for discovering the aqueous environment efficiently which operates under many important constraints. At one side, these environments are not sufficient in case of energy efficiency and reliability. So in our paper we propose to develop a reliable and energy efficient cluster-based architecture for UWSN. Here the nodes cluster themselves and forms a cluster head. Next by deploying the courier nodes in the network data is aggregated from the CH. They also enable an intercluster communication to forward the sensed data. This increases the lifetime and the delay is less with the reduced buffer overflow problem.
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基于集群的水下无线传感器网络可靠节能架构
水下无线传感器网络(UWSN)为有效地发现水中环境提供了一种有前途的解决方案,它在许多重要的约束条件下工作。一方面,这些环境在能源效率和可靠性方面是不够的。因此,在本文中,我们提出了一种可靠且节能的基于集群的UWSN架构。在这里,节点自己聚集并形成一个簇头。接下来,通过在网络中部署信使节点,数据从CH聚合。它们还启用集群间通信来转发感知到的数据。这增加了生命周期,延迟减少了,缓冲区溢出问题也减少了。
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
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0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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