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2015 IEEE 40th Conference on Local Computer Networks (LCN 2015) (2015)
Clearwater Beach, FL, USA
Oct. 26, 2015 to Oct. 29, 2015
ISBN: 978-1-4673-6769-1
pp: 149-156
Fahad Ahmad Khan , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Saad Ahmad Khan , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Damla Turgut , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Ladislau Boloni , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
ABSTRACT
Underwater Sensor Networks (UWSNs) provide valuable data for research studies and underwater monitoring and protection. UWSNs need to overcome the handicap that high data rate wireless transmissions are not available underwater. Acoustic communications are used as a medium but they are only good for transmitting e.g. signalling information. Autonomous Underwater Vehicles (AUVs) can serve as mobile sinks that gather and deliver larger amounts of data from the underwater sensor network nodes. Value of Information (VoI) is a data tag that encodes the importance and time-based-relevance of a data chunk residing at a sensor node. VoI, therefore, can serve as a heuristic for path planning and prioritizing data retrieval from nodes. The novelty of this paper lies in providing algorithms which schedule multiple mobile sinks (AUVs) for data retrieval from nodes while maximizing the retrieved VoI. The class of algorithms discussed are based on greedy heuristics.
INDEX TERMS
Path planning, Mobile communication, Wireless sensor networks, Monitoring, Oceans, Acoustics, Scheduling
CITATION

F. A. Khan, S. A. Khan, D. Turgut and L. Boloni, "Scheduling multiple mobile sinks in Underwater Sensor Networks," 2015 IEEE 40th Conference on Local Computer Networks (LCN 2015)(LCN), Clearwater Beach, FL, USA, 2015, pp. 149-156.
doi:10.1109/LCN.2015.7366294
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