Communication protocols for underwater data collection using a robotic sensor network

Hollinger, Geoffrey A.; Choudhary, Sunav; Qarabaqi, Parastoo; Murphy, Christopher; Mitra, Urbashi; Sukhatme, Gaurav S.; Stojanovic, Milica; Singh, Hanumant; Hover, Franz S.

doi:10.1109/glocomw.2011.6162397

Cited by 27 publications

(23 citation statements)

References 12 publications

(7 reference statements)

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“…The work in [8] investigated traveling salesman problem (TSP). While executing the path, AUV can improve performance by communicating multiple nodes in the network at once.…”

Section: Related Workmentioning

confidence: 99%

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Aeerp

Ahmad

Wahid²,

Kim³

2013

Proceedings of the 8th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks

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Multi-hop communication in Underwater AcousticSensor Network (UASN) brings new challenges in reliable data transmission. Recent work shows that data collection from underwater sensor nodes using Autonomous Underwater Vehicle (AUV) minimizes multi-hop data transmission, improving energy efficiency in UASN. However, due to continuous movements, AUV has limited communication time to collect data from sensor nodes in UASN. We therefore propose a novel underwater routing protocol, namely AEERP (AUV aided Energy Efficient Routing Protocol). In AEERP, an AUV collects data from gateway nodes. Among all the nodes, selected nodes play the role of gateway node for communication with AUV. Gateway nodes are selected based on RSSI values of the hello packet received from AUV. In addition, after consuming energy up to a certain threshold by a gateway node, another high energy node is selected as a gateway node. This adaptive selection of gateway node balances energy consumption increasing network lifetime. Mathematical analysis and NS-2 simulation show that AEERP performs better than Travel Salesperson Problem (TSP) in terms of energy cost and data delivery ratio.

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“…The work in [8] investigated traveling salesman problem (TSP). While executing the path, AUV can improve performance by communicating multiple nodes in the network at once.…”

Section: Related Workmentioning

confidence: 99%

“…In [11], mobile AUV is used to retrieve data from underwater sensor nodes by using scheduling approach based on Time Division Multiple Access with Acknowledgements (TDMA-ACK) to administer communication. The said approach of TDMA-ACK achieves good data retrieval performance.…”

Section: Related Workmentioning

confidence: 99%

Aeerp

Ahmad

Wahid²,

Kim³

2013

Proceedings of the 8th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks

View full text Add to dashboard Cite

show abstract

“…Although most of the previous researches [1][2][3][4][5][6][7][8] have addressed the outlier detection in time series, there still exist some challenges to undertake; for example, different time series appear out of synchronism, results of the traditional similarity calculation method are no longer available, the periodical outlier in time series is hard to detect, the determination of the outlier threshold is unreasonable, and so on. In this paper, a hierarchy-segmentation-data-extraction-based outlier detection method is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Identification of outliers can lead to the discovery of significant clues and has practical applications in various fields, such as financial risk management [1,10], anomaly detection [5], and disaster alarm in environment monitoring [2,[5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Time series, widely existing in various applications [1] such as sensor network data collection [2][3][4], credit card fraud data [1], and environment monitoring data [2,[5][6][7][8], is one of the major types of big data. In fact, time series is an ordered sequence of observed data with respect to time; highly intuitive and usually most of the desired key information can be directly obtained from the different variations or distributions via the human visual system.…”

Section: Introductionmentioning

confidence: 99%

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Locality-Based Visual Outlier Detection Algorithm for Time Series

Li¹,

Li²,

Yu³

et al. 2017

Security and Communication Networks

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Physiological theories indicate that the deepest impression for time series data with respect to the human visual system is its extreme value. Based on this principle, by researching the strategies of extreme-point-based hierarchy segmentation, the hierarchysegmentation-based data extraction method for time series, and the ideas of locality outlier, a novel outlier detection model and method for time series are proposed. The presented algorithm intuitively labels an outlier factor to each subsequence in time series such that the visual outlier detection gets relatively direct. The experimental results demonstrate the average advantage of the developed method over the compared methods and the efficient data reduction capability for time series, which indicates the promising performance of the proposed method and its practical application value.

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Robotic Wireless Sensor Networks

Ghosh

Gasparri

Jin

et al. 2019

Mission-Oriented Sensor Networks and Systems: Art and Science

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In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system that aims to achieve certain sensing goals while meeting and maintaining certain communication performance requirements, through cooperative control, learning and adaptation. While both of the component areas, i.e., Robotics and WSN, are very well-known and well-explored, there exist a whole set of new opportunities and research directions at the intersection of these two fields which are relatively or even completely unexplored. One such example would be the use of a set of robotic routers to set up a temporary communication path between a sender and a receiver that uses the controlled mobility to the advantage of packet routing. We find that there exist only a limited number of articles to be directly categorized as RWSN related works whereas there exist a range of articles in the robotics and the WSN literature that are also relevant to this new field of research. To connect the dots, we first identify the core problems and research trends related to RWSN such as connectivity, localization, routing, and robust flow of information. Next, we classify the existing research on RWSN as well as the relevant state-of-the-arts from robotics and WSN community according

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Communication protocols for underwater data collection using a robotic sensor network

Cited by 27 publications

References 12 publications

Aeerp

Aeerp

Locality-Based Visual Outlier Detection Algorithm for Time Series

Robotic Wireless Sensor Networks

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