Underwater Sensor Networks: A New Energy Efficient and Robust Architecture

Climent, Salvador; Capella, J.V.; Meratnia, Nirvana; Serrano, Juan José

doi:10.3390/s120100704

Cited by 52 publications

(27 citation statements)

References 26 publications

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“…The reason is the enormous attenuation in the subaquatic medium. Consequently, Radio Frequency is not recommended as transmission signal and the most employed transmission technology for underwater communications is acoustic based, which requires higher transmission power than terrestrial networks usually do [4]. That is, the reason to minimize underwater sensor network energy consumption is to prolong network's lifetime, and one way to accomplish that is to extend the battery lifetime [13].…”

Section: Introductionmentioning

confidence: 97%

A Node Placement Optimization Method for Watershed Underwater Sensor Networks

Barbosa

Letouze

Xavier

2014

Proceedings of the International Conference on Underwater Networks %Systems - WUWNET '14

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Given a set of underwater sensors coordinates that are usually determined by a specialist for the design of a watershed monitoring system, where should be placed the sinks and the base station? The answer may be the minimization of the Variable Internode Distance. In such cases, a two dimensional architecture is acceptable because it is a shallow water system. Hence, in this paper, it is proposed a two-level node distance minimization for Underwater Wireless Sensor Network for monitoring systems. The mathematical method employed for optimization is the Hyperbolic Smoothing approach and the proposed method includes the placement of the base-station in the algorithm.

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Section: Introductionmentioning

confidence: 97%

A Node Placement Optimization Method for Watershed Underwater Sensor Networks

Barbosa

Letouze

Xavier

2014

Proceedings of the International Conference on Underwater Networks %Systems - WUWNET '14

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“…Seas and oceans are mysterious and charismatic to human beings because of the huge amount of unexploited resources. Underwater wireless sensor networks (UWSNs) technologies are developing gradually to enhance our abilities to discover resources in aquatic environments [1,2,3,4]. UWSNs are three-dimensional (3D) networks.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor Networks

Chen

Zhang

Liu

et al. 2017

Sensors

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We study the problem of energy-efficient target tracking in underwater wireless sensor networks (UWSNs). Since sensors of UWSNs are battery-powered, it is impracticable to replace the batteries when exhausted. This means that the battery life affects the lifetime of the whole network. In order to extend the network lifetime, it is worth reducing the energy consumption on the premise of sufficient tracking accuracy. This paper proposes an energy-efficient filter that implements the tradeoff between communication cost and tracking accuracy. Under the distributed fusion framework, local sensors should not send their weak information to the fusion center if their measurement residuals are smaller than the pre-given threshold. In order to guarantee the target tracking accuracy, artificial measurements are generated to compensate for those unsent real measurements. Then, an adaptive scheme is derived to take full advantages of the artificial measurements-based filter in terms of energy-efficiency. Furthermore, a computationally efficient optimal sensor selection scheme is proposed to improve tracking accuracy on the premise of employing the same number of sensors. Simulation demonstrates that our scheme has superior advantages in the tradeoff between communication cost and tracking accuracy. It saves much energy while loosing little tracking accuracy or improves tracking performance with less additional energy cost.

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“…Under such circumstances, a high probability of node failure is expected in underwater environments when compared to terrestrial networks [3]. Energy efficiency is an important issue during the design and the overall performance evaluation of an UWSN system [4]. However, conceiving/designing an underwater sensor network environment is not an easy task.…”

Section: Introductionmentioning

confidence: 99%

“…Efforts have to be directed towards saving resources to maintain the stability of the system. To date, studies, more or less, are focusing on cluster algorithms in order to solve efficiency problems and such preserve sensor energy life expectancy [1]- [4]. Within this framework of debate this study suggests a new approach to solve both the problems that nodes face in hazardous underwater environments and to ensure the stability of the network.…”

Section: Introductionmentioning

confidence: 99%

A new approach for a better recovery of cluster head nodes in underwater sensor networks

Ovaliadis

Savage

Tsiantos

2014

2014 International Conference on Telecommunications and Multimedia (TEMU)

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Energy efficiency is an important issue during the design and the overall performance evaluation of an UWSN system. Clustering sensor nodes have proven to be an effective method to improve the load balancing and scalability of the network while minimizing the system's overall energy consumption. In this paper, a new clustering algorithm is proposed to provide an improved cluster system against clusterhead failures. This study suggests that system CH failures could be further minimized when simultaneously a CH (primary CH) and a vice/backup CH are selected. Thus, when a primary CH fails due to an irreparable fault, a backup CH will take its place and it will operates as a head node. This study proposes two major procedures in order this to be accomplished, the detection failure and the recovery procedures. The first one initially detects any failures that occurred in the network and then reports this information to the relevant nodes to initiate recovery. The recovery procedure actually decides who and when will trigger the recovery function according to the origin of the CH node failure which can be either the energy depletion of the CH's battery or a software/hardware malfunction. The simulation results clearly indicate that there is an improvement in terms of network lifetime expectancy and energy consumption.

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Underwater Sensor Networks: A New Energy Efficient and Robust Architecture

Cited by 52 publications

References 26 publications

A Node Placement Optimization Method for Watershed Underwater Sensor Networks

A Node Placement Optimization Method for Watershed Underwater Sensor Networks

An Artificial Measurements-Based Adaptive Filter for Energy-Efficient Target Tracking via Underwater Wireless Sensor Networks

A new approach for a better recovery of cluster head nodes in underwater sensor networks

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