Paper Info
Title
Data Collection with Multiple Mobile Actors in Underwater Sensor Networks
Abstract
Underwater Sensor Networks (USNs) could provide real time in-situ monitoring to supply high spatio-temporal resolution capability. However underwater environment represents many challenges for sensor networks. It has become an urgent problem to get high temporal precision sampling data from USNs and to prolong USNs’ lifetime at the same time. In this paper, we present an underwater application model for collecting detail data from USNs with multiple mobile actors to get high temporal resolution capability. Our proposed complete strategy works in two ways: local base station collects sensors’ data with regular time resolution, and mobile actors collect data from virtual clusters with high temporal resolution. We present three algorithms to accomplish the network model: a) area partitioning and actors scattering algorithm, b) sub-region optimizing algorithm, and c) virtual cluster formation algorithm. The paper present simulations to evaluate our proposed algorithms. The results indicates that our strategy can achieve lower end-to-end delay which is one eighth of that by former methods, actors can collect high temporal resolution data through virtual clusters, local network alternates within two network states(local USN and virtual clusters) freely. At the same time, since the proposed approach does not reduce local USNs’ lifetime, it has great potential in underwater network applications.
Year
DOI
Venue
2008
10.1109/ICDCS.Workshops.2008.85
ICDCS Workshops
Keywords
Field
DocType
regular time resolution,high temporal resolution data,high spatio-temporal resolution capability,virtual cluster,high temporal resolution,high temporal resolution capability,underwater sensor networks,local usns,high temporal precision,local usn,detail data,data collection,multiple mobile actors,real time,temporal resolution,network model,base stations,sensor network,wireless sensor networks,clustering algorithms,end to end delay,sampling methods,base station
Base station,Data collection,Computer science,Real-time computing,Local area network,Cluster analysis,Temporal resolution,Wireless sensor network,Network model,Underwater,Distributed computing
Conference
ISSN
Citations 
PageRank 
0743-166X
11
0.98
References 
Authors
6
4
Name
Order
Citations
PageRank
Jincheng Wang1111.66
Deshi Li232526.11
Mi Zhou3173.48
Dipak Ghosal42848163.40