Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LCN.2015.7366294 | 2015 IEEE 40th Conference on Local Computer Networks (LCN) |
Keywords | Field | DocType |
underwater sensor networks,underwater monitoring,underwater protection,high data rate wireless transmissions,acoustic communications,autonomous underwater vehicles,AUV,mobile sinks that,value of information,sensor node,path planning | Sensor node,Key distribution in wireless sensor networks,Wireless,Data retrieval,Computer science,Computer network,Mobile wireless sensor network,Wireless sensor network,Mobile telephony,Underwater | Conference |
ISSN | Citations | PageRank |
0742-1303 | 3 | 0.39 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fahad Ahmad Khan | 1 | 3 | 1.07 |
| Saad Ahmad Khan | 2 | 19 | 5.02 |
| Damla Turgut | 3 | 1127 | 87.39 |
| Ladislau Bölöni | 4 | 335 | 42.82 |