Title

Value Of Information Based Data Retrieval In Uwsns

Keywords

AUV; Data mule; Mobile sink; Mobility; Path planning; QoI; QoS; Quality of information; Routing; Under water sensor network; UWSN; Value of information; VoI

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.

Publication Date

10-11-2018

Publication Title

Sensors (Switzerland)

Volume

18

Issue

10

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3390/s18103414

Socpus ID

85054896055 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85054896055

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