Fish Robots for Water Pollution Monitoring Using Ubiquitous Sensor Networks with Sonar Localization

Ro, Soonghwan; Nguyen, Hanh V.; Ryu, Joohyun; Lee, Wonil; Jung, WooChul; Yu, Sibok

doi:10.1109/iccit.2007.391

Cited by 21 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, underwater acoustic (UWA) communication has been widely employed in military affairs [1], ocean exploration [2], pollution monitoring [3], offshore oil drilling [4], etc. In view of these applications, UWA communication technology shows great potential as an area of research.…”

Section: Introductionmentioning

confidence: 99%

Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform

Wang

Jiang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

The performance of underwater acoustic (UWA) communication is heavily dependent on channel estimation, which is predominantly researched by simulating UWA channels modelled in complex and dynamic underwater environments. In UWA channels modelling, the measurement-based approach provides an accurate method. However, acquirement of environment data and simulation processes are scenario-specific and thus not cost-effective. To overcome such restraints, this article proposes a comprehensive simulation platform that combines UWA channel modelling with orthogonal frequency division multiplexing (OFDM) channel estimation, allowing users to model UWA channels for different ocean environments and simulate channel estimation with configurable input parameters. Based on the simulation platform, three independent simulations are conducted to determine the impacts of receiving depth, sea bottom boundary, and sea surface boundary on channel estimation. The simulations show that UWA channel estimation is greatly affected by underwater environments. The effect can be mainly attributed to changing acoustic rays tracing which result in fluctuating time delay and amplitude. With 10 m receiving depth and flat sea bottom, the channel estimation achieves optimal performance. Further study indicates that the sea surface has stochastic effects on channel estimation. As the significant wave height (SWH) increases, the average performance of channel estimation shows improvements.

show abstract

Section: Introductionmentioning

confidence: 99%

Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform

Wang

Jiang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Wireless sensor networks (WSNs) are now being considered for mission critical applications such as infrastructure monitoring [10], [11], fire fighting [1], pollution control [15], assisted living [21], military surveillance and tracking [22]. These systems will often need to exist for years, and operate reliably in the context of real world communication, sensing and failure realities.…”

Section: Introductionmentioning

confidence: 99%

Predictive dependency constraint directed self-healing for wireless sensor networks

Stankovic

et al. 2010

2010 Seventh International Conference on Networked Sensing Systems (INSS)

View full text Add to dashboard Cite

Abstract-Wireless sensor networks are now being considered for mission critical applications, which are often largely unattended and need to operate reliably for years. However, due to the real world communication, sensing and failure realities, clock drift, and node faults, the system performance may degrade significantly over time. It is highly desirable that these natural deteriorations can be monitored continuously and can be corrected with self-healing when necessary. In this paper, we introduce a dependency constraint directed self-healing scheme for wireless sensor networks. We reveal that when self-healing services are being composed, certain dependency constraints, including invocation, parameter consistency, control and implicit assumption dependencies must be carefully identified and respected. We illustrate each of these dependency constraints through case studies in 3 different systems covering the typical functions of wireless sensor networks, including sensing, communication and tracking. Our research indicates that, following the dependency constraints in self-healing design is not only a must for the correctness of self-healing services, but is also a key to energy efficient self-healing.

show abstract

“…The ecosystem is then only negligibly disturbed by the installation of the sensor net. Recent examples for this application case in the literature are the observation of bird-races or travel habits of fish swarms [37,36].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA

Sigg

Beigl

2008

2008 Eighth International Workshop on Applications and Services in Wireless Networks (Aswn 2008)

View full text Add to dashboard Cite

With collaborative transmission we propose a novel transmission scheme that utilises constructive interference between transmitted signals of wireless sensor nodes. Similar to cooperative transmission approaches we are able to drastically extend the transmission range of a wireless sensor network. We show that synchronisation of received signal components is feasible without inter-node communication. Our approach is capable of synchronising a virtually arbitrary number of signal components. The underlying scenario is modelled as a black-box optimisation problem and is solved by a (1 + 1) evolution strategy. The method is optimal in the sense that any other evolutionary search approach with equal mutation probability has an expected asymptotic optimisation time that is at least of the same order.

show abstract

Fish Robots for Water Pollution Monitoring Using Ubiquitous Sensor Networks with Sonar Localization

Cited by 21 publications

References 13 publications

Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform

Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform

Predictive dependency constraint directed self-healing for wireless sensor networks

Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA

Contact Info

Product

Resources

About