Abstract
Original language | English |
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Book series | Lecture Notes in Computer Science |
Volume | 6869 |
Pages (from-to) | 251-261 |
Number of pages | 11 |
ISSN | 0302-9743 |
DOIs | |
Publication status | Published - 2011 |
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Lossy Data Aggregation with Network Coding in Stand-Alone Wireless Sensor Networks. / Madsen, Tatiana Kozlova.
In: Lecture Notes in Computer Science, Vol. 6869, 2011, p. 251-261 .Research output: Contribution to journal › Conference article in Journal › Research › peer-review
TY - GEN
T1 - Lossy Data Aggregation with Network Coding in Stand-Alone Wireless Sensor Networks
AU - Madsen, Tatiana Kozlova
PY - 2011
Y1 - 2011
N2 - This work focuses on a special type of wireless sensor networks (WSNs) that we refer to as a stand alone network. These netwoks operate in harsh and extreme environments where data collection is done only occasionally. Typical examples include habitat monitoring systems, monitoring systems in chemical plants, etc. Given resource constrained operation of a sensor network where the nodes are battery powered and buffer sizes are limited, efficient methods for in-network data storage abd it subsequent fast and reliable transmission to a gateway is desirable. To save scarse resources and to prolong the lifetime of the whole network, the lossy data grregation method can be applied. It is especially viable in the networks where several sensors are measuring the same physical phenomenum and only average values of sensor readings are of interest. In this paper we present a method for efficient lossy data aggregation using a network coding technique. We demonstrate that with low communication and processing overhead, a gateway can retrieve data fast from the network and the retrieved values are close to the sample means of the collected measurements. This method requires a special choice of coefficients for linear data encoding: the condition number of the coefficient matrix should be small and close to one.
AB - This work focuses on a special type of wireless sensor networks (WSNs) that we refer to as a stand alone network. These netwoks operate in harsh and extreme environments where data collection is done only occasionally. Typical examples include habitat monitoring systems, monitoring systems in chemical plants, etc. Given resource constrained operation of a sensor network where the nodes are battery powered and buffer sizes are limited, efficient methods for in-network data storage abd it subsequent fast and reliable transmission to a gateway is desirable. To save scarse resources and to prolong the lifetime of the whole network, the lossy data grregation method can be applied. It is especially viable in the networks where several sensors are measuring the same physical phenomenum and only average values of sensor readings are of interest. In this paper we present a method for efficient lossy data aggregation using a network coding technique. We demonstrate that with low communication and processing overhead, a gateway can retrieve data fast from the network and the retrieved values are close to the sample means of the collected measurements. This method requires a special choice of coefficients for linear data encoding: the condition number of the coefficient matrix should be small and close to one.
U2 - 10.1007/978-3-642-22875-9_23
DO - 10.1007/978-3-642-22875-9_23
M3 - Conference article in Journal
VL - 6869
SP - 251
EP - 261
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -