Abstract
Although the existing time synchronization protocols in wireless sensor networks (WSNs) areefficient for short periods, many applications require long-term synchronization among the nodes, forexample, coordinated sleep and wakeup modes, and synchronized sampling. In such applications, experimentshave shown that even clock skew correction cannot maintain long-term clock synchronization anda quadratic model of clock variations can better capture the dynamics of the actual clock model involved,hence increasing the resynchronization period and conserving significant energy. This paper derives themaximum likelihood (ML) estimator for all the clock parameters in a two-way timing exchange modelwith exponential delays. The same estimation procedure can be applied to one-way timing exchangemodels with little modification.
| Original language | English |
|---|---|
| Article number | 219458 |
| Journal | Eurasip Journal on Advances in Signal Processing |
| Volume | 2008 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Signal Processing
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Clock estimation for long-term synchronization in wireless sensor networks with exponential delays. / Chaudhari, Qasim M.; Serpedin, Erchin.
In: Eurasip Journal on Advances in Signal Processing, Vol. 2008, 219458, 2008.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Clock estimation for long-term synchronization in wireless sensor networks with exponential delays
AU - Chaudhari, Qasim M.
AU - Serpedin, Erchin
PY - 2008
Y1 - 2008
N2 - Although the existing time synchronization protocols in wireless sensor networks (WSNs) areefficient for short periods, many applications require long-term synchronization among the nodes, forexample, coordinated sleep and wakeup modes, and synchronized sampling. In such applications, experimentshave shown that even clock skew correction cannot maintain long-term clock synchronization anda quadratic model of clock variations can better capture the dynamics of the actual clock model involved,hence increasing the resynchronization period and conserving significant energy. This paper derives themaximum likelihood (ML) estimator for all the clock parameters in a two-way timing exchange modelwith exponential delays. The same estimation procedure can be applied to one-way timing exchangemodels with little modification.
AB - Although the existing time synchronization protocols in wireless sensor networks (WSNs) areefficient for short periods, many applications require long-term synchronization among the nodes, forexample, coordinated sleep and wakeup modes, and synchronized sampling. In such applications, experimentshave shown that even clock skew correction cannot maintain long-term clock synchronization anda quadratic model of clock variations can better capture the dynamics of the actual clock model involved,hence increasing the resynchronization period and conserving significant energy. This paper derives themaximum likelihood (ML) estimator for all the clock parameters in a two-way timing exchange modelwith exponential delays. The same estimation procedure can be applied to one-way timing exchangemodels with little modification.
UR - http://www.scopus.com/inward/record.url?scp=37649024042&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37649024042&partnerID=8YFLogxK
U2 - 10.1155/2008/219458
DO - 10.1155/2008/219458
M3 - Article
VL - 2008
JO - Eurasip Journal on Advances in Signal Processing
JF - Eurasip Journal on Advances in Signal Processing
SN - 1687-6172
M1 - 219458
ER -