Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)

Wang, Pu; Li, Cheng; Zheng, Jun

doi:10.1109/icc.2007.580

Cited by 71 publications

(65 citation statements)

References 6 publications

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“…Although some inspiring distributed topology nodes deployment schemes like [5], [26][27] exist in literature but their implementation is thought to be cumbersome in underwater long range pipeline monitoring. In this paper, we propose a novel deployment algorithm for the long range underwater pipeline monitoring.…”

Section: Network Architecture and Contributionsmentioning

confidence: 99%

Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

et al. 2016

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Underwater Wireless Linear Sensor Networks (UW-LSNs Keywords: scalability, heterogeneity, nodes deployment algorithm, underwater pipeline monitoringCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved. IntroductionUnderwater environments do not remain feasible for human operators due to the harsh underwater activities, high water pressure, hazardous underwater creatures, vast areas for exploration and lack of high frequency signals propagation [1]. Due to the underwater acoustic communication, the signal propagation speed is decreased to the speed of sound. Although in underwater, sound waves travel longer and faster than the air but still they are five times slower than the electromagnetic waves [2]. Most of deployment algorithms and routing protocols do not remain suitable for such environments as they necessitate random nodes deployment, joint topology, 2D area, higher data rate, and outcomes in large end-to-end delays [3]. Although significant areas of improvement are highly required to be there in UW-LSN monitoring techniques like scalable nodes deployment, distribution of large network, minimization of the delay in communication and efficient data deliveries to the sink; but the available data rates for the long range underwater applications is very low and not feasible for the real time communication. In short, it seems to be hard to increase the data rate for the long range underwater communication where scalable and efficient nodes deployments in distributed topology are highly supportive in this regard.In fact, UW-LSNs and terrestrial sensor networks have many common properties including deployment of large number of nodes and energy constraints; but UW-LSN stays unique in many aspects from the terrestrial sensor networks [4]. Firstly, most of the times homogenous types of sensor nodes are deployed randomly that are not scalable for extension of underwater pipelines monitoring coverage. Secondly, UW-LSN requires special deployment algorithms that assign proper nodes positions in 3D dynamic underwater environment. Thirdly, sensors are linearly deployed to maintain the linear topology and distributed topology network [5] that divides the pipeline length into sub-zones and ranges of heterogeneous sensors.

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Section: Network Architecture and Contributionsmentioning

confidence: 99%

Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

et al. 2016

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“…In particular, the contention-based MAC protocols (e.g., IEEE 802.11) that enable gossiping are impractical in an underwater environment [1]. To address these problems, we propose a distributed agreement protocol, which uses a contention-free transmission schedule based on the TDMA MAC protocol proposed for UWSNs [2,13], thus guaranteeing a bounded detection delay while not interrupting normal data transmission between the cluster head and its cluster members.…”

Section: Fault-detection Mechanismmentioning

confidence: 99%

“…Clustering is an effective technique for improving energy efficiency and prolonging network lifetime in WSNs [8][9][10] and UWSNs [2]. To address clusterhead failures, most previous work was focused on fault-tolerance mechanisms to recover the connectivity of the cluster members in a faulty cluster [5,11,12].…”

Section: Related Workmentioning

confidence: 99%

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Untitled

Xie

Zhou

Zhang

et al. 2009

Wireless Communications

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SummaryThis paper proposes a cooperative fault-detection mechanism for detecting cluster-head failures in cluster-based UnderWater Sensor Networks (UWSNs). The proposed detection mechanism aims to accurately and fast detect the failure of a cluster head in order to avoid unnecessary energy consumption caused by a mistaken detection. For this purpose, it allows each cluster member to independently detect the fault status of its cluster head and then employs a distributed agreement protocol to reach an agreement on the fault status of the cluster head among multiple cluster members. It runs concurrently with normal network operation by periodically performing a detection process at each cluster member. To reduce energy consumption, it uses a time division multiple access medium access control (TDMA MAC) protocol and makes use of the data periodically sent by a cluster head as the heartbeats for fault detection. A couple of forward and backward time-division-multiplexing (TDM) frames are specially structured for enabling multiple cluster members to reach an agreement within two frames in each detection process. Moreover, a schedule generation algorithm is also proposed for a cluster head to generate the transmission schedule in the forward and backward frames. Through simulation results, we show that the proposed detection mechanism can achieve high detection accuracy under high packet loss rates in the harsh underwater environment, and can detect a cluster-head failure faster than a traditional fault-detection mechanism within a delay bound of two TDM frames.

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“…Keeping in mind, the end goal to enhance the energy efficiency and builds the network lifetime minimum cost clustering protocol (MCCP) is a cursed clustering protocol proposed in [32]. The creators propose a Clustering driven cost-based improvement trouble for the cluster course of action.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Survey on Routing Protocols for the Underwater Wireless Sensor Network

Bhardwaj¹,

Kaur²,

Kumar³

2017

IJCA

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Underwater wireless sensor networks (UWSNs) obtained the information from the underwater sensors nodes. In which there are lots of issues and difficulties in underwater like size, limited battery power, deployment and limited bandwidth capacity. In underwater, it is difficult to recharge or substitute the battery of the sensors nodes. In such circumstances the concentrate on reducing the battery utilization of the sensors nodes. There are various techniques are used to reduce the battery utilization. The design of routing protocols for underwater sensor networks creates numerous challenges due to essential properties of the underwater environment. Many routing protocols have been proposed in order to provide an efficient, reliable and route discovery between the sources and the sink. It also has more through-put as compared to the existing technique. In this paper, display a survey and comparison of various groups according to their taxonomy with their ability is discussed in detailed.

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Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)

Cited by 71 publications

References 6 publications

Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

Untitled

A Survey on Routing Protocols for the Underwater Wireless Sensor Network

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