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Sensors 2018, 18(10), 3414; https://doi.org/10.3390/s18103414

Value of Information Based Data Retrieval in UWSNs

1
Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA
2
Department of Electrical Engineering and Computer Science, University of Engineering & Technology Lahore, Punjab 54890, Pakistan
*
Authors to whom correspondence should be addressed.
Received: 24 August 2018 / Revised: 4 October 2018 / Accepted: 8 October 2018 / Published: 11 October 2018
(This article belongs to the Section Sensor Networks)
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Abstract

Sensor nodes in underwater sensor networks may acquire data at a higher rate than their ability to communicate over underwater acoustic channels. Autonomous underwater vehicles may mitigate this mismatch by offloading high volumes of data from the sensor nodes and ferrying them to the sink. Such a mode of data transfer results in high latency. Occasionally, these networks need to report high priority events such as catastrophes or intrusions. In such a scenario the expectation is to have a minimal end-to-end delay for event reporting. Considering this, underwater vehicles should schedule their visits to the sensor nodes in a manner that aids efficient reporting of high-priority events. We propose the use of the Value of Information metric in order to improve the reporting of events in an underwater sensor network. The proposed approach classifies the recorded data in terms of its value and priority. The classified data is transmitted using a combination of acoustic and optical channels. We perform experiments with a binary event model, i.e., we classify the events into high-priority and low-priority events. We explore a couple of different path planning strategies for the autonomous underwater vehicle. Our results show that scheduling visits to sensor nodes, based on algorithms that address the value of information, improves the timely reporting of high priority data and enables the accumulation of larger value of information. View Full-Text
Keywords: under water sensor network; mobility; path planning; routing; quality of information; value of information; mobile sink; data mule; UWSN; AUV; QoS; QoI; VoI under water sensor network; mobility; path planning; routing; quality of information; value of information; mobile sink; data mule; UWSN; AUV; QoS; QoI; VoI
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Khan, F.A.; Butt, S.; Khan, S.A.; Bölöni, L.; Turgut, D. Value of Information Based Data Retrieval in UWSNs. Sensors 2018, 18, 3414.

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