Abstract
Calculation in the sensor node requires very little electric power in a wireless sensor network, but communication among nodes requires much electric power. The data aggregation procedure collects the source data from sensor nodes and transfers the data to a sink node, so this procedure is the representative work in a sensor network. A major research topic in the sensor network field is to find the node which can minimize communication frequency among sensor nodes because all sensors in a wireless sensor network depend on battery electric power. This paper proposes algorithms by which sensing data are transferred to the sink node by way of a minimal number hops using a hash function in a mesh wireless sensor network. The proposed algorithms are worked in an N x N mesh wireless sensor network to concurrently perform global data aggregation and local data aggregation. Concurrent data aggregation is possible because an N x N mesh network has a unique address using the shuffled row major indexing method. Also, the proposed algorithms reduce the electric power requirement compared to existing methods by using the hash function which consumes little resource.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Electrical Engineering |
| Pages | 409-416 |
| Number of pages | 8 |
| Volume | 181 LNEE |
| DOIs | |
| Publication status | Published - 2012 Oct 19 |
| Event | 7th International Conference on Embedded and Multimedia Computing, EMC 2012 - Gwangju, Korea, Republic of Duration: 2012 Sep 6 → 2012 Sep 8 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 181 LNEE |
| ISSN (Print) | 18761100 |
| ISSN (Electronic) | 18761119 |
Other
| Other | 7th International Conference on Embedded and Multimedia Computing, EMC 2012 |
|---|---|
| Country | Korea, Republic of |
| City | Gwangju |
| Period | 12/9/6 → 12/9/8 |
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Keywords
- data aggregation
- mesh sensor network
- shuffled row major indexing
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
The shortest path data aggregation using hash function on mesh wireless sensor network. / Choi, Mi Young; Moon, Chang Joo; Baik, Doo Kwon.
Lecture Notes in Electrical Engineering. Vol. 181 LNEE 2012. p. 409-416 (Lecture Notes in Electrical Engineering; Vol. 181 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The shortest path data aggregation using hash function on mesh wireless sensor network
AU - Choi, Mi Young
AU - Moon, Chang Joo
AU - Baik, Doo Kwon
PY - 2012/10/19
Y1 - 2012/10/19
N2 - Calculation in the sensor node requires very little electric power in a wireless sensor network, but communication among nodes requires much electric power. The data aggregation procedure collects the source data from sensor nodes and transfers the data to a sink node, so this procedure is the representative work in a sensor network. A major research topic in the sensor network field is to find the node which can minimize communication frequency among sensor nodes because all sensors in a wireless sensor network depend on battery electric power. This paper proposes algorithms by which sensing data are transferred to the sink node by way of a minimal number hops using a hash function in a mesh wireless sensor network. The proposed algorithms are worked in an N x N mesh wireless sensor network to concurrently perform global data aggregation and local data aggregation. Concurrent data aggregation is possible because an N x N mesh network has a unique address using the shuffled row major indexing method. Also, the proposed algorithms reduce the electric power requirement compared to existing methods by using the hash function which consumes little resource.
AB - Calculation in the sensor node requires very little electric power in a wireless sensor network, but communication among nodes requires much electric power. The data aggregation procedure collects the source data from sensor nodes and transfers the data to a sink node, so this procedure is the representative work in a sensor network. A major research topic in the sensor network field is to find the node which can minimize communication frequency among sensor nodes because all sensors in a wireless sensor network depend on battery electric power. This paper proposes algorithms by which sensing data are transferred to the sink node by way of a minimal number hops using a hash function in a mesh wireless sensor network. The proposed algorithms are worked in an N x N mesh wireless sensor network to concurrently perform global data aggregation and local data aggregation. Concurrent data aggregation is possible because an N x N mesh network has a unique address using the shuffled row major indexing method. Also, the proposed algorithms reduce the electric power requirement compared to existing methods by using the hash function which consumes little resource.
KW - data aggregation
KW - mesh sensor network
KW - shuffled row major indexing
UR - http://www.scopus.com/inward/record.url?scp=84867484585&partnerID=8YFLogxK
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U2 - 10.1007/978-94-007-5076-0_49
DO - 10.1007/978-94-007-5076-0_49
M3 - Conference contribution
AN - SCOPUS:84867484585
SN - 9789400750753
VL - 181 LNEE
T3 - Lecture Notes in Electrical Engineering
SP - 409
EP - 416
BT - Lecture Notes in Electrical Engineering
ER -