Abstract
Energy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques to reduce the energy consumption of the network and improving its lifetime as well. However, clustering itself is time and energy-consuming. Besides, some other ultimate factors such as radio propagation models; network traffic probability are also influencing factors of energy consumption. To ensure the energy efficient network operation, it is essential to taken into account the mentioned factors. Since the number of events occurred inside the network are directly related to the node's energy consumption. For this reason based on the random event arrival; it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We rely on the Poisson distribution, where we can assume random event arrival inside the network. Again formulate clustering problem and sketch a guideline on acquiring an optimal number of clustering in favor of height network lifetime.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016 |
| Publisher | Association for Computing Machinery |
| Pages | 292-296 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450347938 |
| DOIs | |
| Publication status | Published - Dec 17 2016 |
| Event | 5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, Japan Duration: Dec 17 2016 → Dec 21 2016 |
Other
| Other | 5th International Conference on Network, Communication and Computing, ICNCC 2016 |
|---|---|
| Country | Japan |
| City | Kyoto |
| Period | 12/17/16 → 12/21/16 |
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All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Modeling the impact of clustering with random event arrival on the lifetime of WSN. / Rahman, Mirza Ferdous; Mehdipour, Farhad; Furukawa, Hiroshi.
Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016. Association for Computing Machinery, 2016. p. 292-296.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Modeling the impact of clustering with random event arrival on the lifetime of WSN
AU - Rahman, Mirza Ferdous
AU - Mehdipour, Farhad
AU - Furukawa, Hiroshi
PY - 2016/12/17
Y1 - 2016/12/17
N2 - Energy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques to reduce the energy consumption of the network and improving its lifetime as well. However, clustering itself is time and energy-consuming. Besides, some other ultimate factors such as radio propagation models; network traffic probability are also influencing factors of energy consumption. To ensure the energy efficient network operation, it is essential to taken into account the mentioned factors. Since the number of events occurred inside the network are directly related to the node's energy consumption. For this reason based on the random event arrival; it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We rely on the Poisson distribution, where we can assume random event arrival inside the network. Again formulate clustering problem and sketch a guideline on acquiring an optimal number of clustering in favor of height network lifetime.
AB - Energy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques to reduce the energy consumption of the network and improving its lifetime as well. However, clustering itself is time and energy-consuming. Besides, some other ultimate factors such as radio propagation models; network traffic probability are also influencing factors of energy consumption. To ensure the energy efficient network operation, it is essential to taken into account the mentioned factors. Since the number of events occurred inside the network are directly related to the node's energy consumption. For this reason based on the random event arrival; it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We rely on the Poisson distribution, where we can assume random event arrival inside the network. Again formulate clustering problem and sketch a guideline on acquiring an optimal number of clustering in favor of height network lifetime.
UR - http://www.scopus.com/inward/record.url?scp=85018267883&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018267883&partnerID=8YFLogxK
U2 - 10.1145/3033288.3033331
DO - 10.1145/3033288.3033331
M3 - Conference contribution
AN - SCOPUS:85018267883
SP - 292
EP - 296
BT - Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PB - Association for Computing Machinery
ER -