Paper Info
Title
Time synchronization for underwater sensor networks based on multi-source beacon fusion
Abstract
Time synchronization is the foundation for collaboration among sensor nodes. Acoustic communication and restricted mobility of sensor nodes are two unique characteristics of underwater sensor networks (UWSNs), negating the effect of terrestrial synchronization schemes. Existing UWSN time synchronization protocols focus on point to point synchronization, incompatible for large-scale networks. Moreover, some of them require special hardwares and deployment conditions. In this paper, we propose MulSync, a scalable synchronization protocol for multi-hop UWSNs. MulSync includes the synchronization communication scheme to exploit acoustic communication nature of broadcast. The skew and offset are estimated by performing linear regression three times over a set of time stamp pairs gathered through message exchange. Three linear regressions are exploited to make full use of the time reference information delivered from multi-source beacons. Simulation results demonstrate that MulSync achieves high accuracy at low message overhead and time cost.
Year
DOI
Venue
2014
10.1109/PADSW.2014.7097811
ICPADS
Keywords
Field
DocType
fusion,acoustic communication,protocols,sensor nodes,linear regression,uwsn time synchronization protocols,sensor node mobility,terrestrial synchronization schemes,regression analysis,synchronization communication scheme,underwater acoustic communication,time synchronization,message exchange,time reference information,underwater sensor networks,multihop uwsn,mulsync,large-scale networks,multisource beacon fusion,acoustic,scalable synchronization protocol,synchronisation
Beacon,Broadcasting,Synchronization,Computer science,Data synchronization,Computer network,Real-time computing,Timestamp,Skew,Point-to-point,Scalability
Conference
ISSN
Citations 
PageRank 
1521-9097
1
0.35
References 
Authors
12
6
Name
Order
Citations
PageRank
Feng Hong124325.00
Bozhen Yang2101.16
Yuliang Zhang3110.87
Ming Xu435649.11
Yuan Feng5473.52
Zhongwen Guo629933.99