摘要
Machine-to-Machine (M2M) communication technologies provide capabilities for devices to communicate with each other through wired and wireless systems. Applying data aggregation is an efficient way to reduce energy consumption of M2M network. We devise an analytical model to compute the transmission delay and energy efficiency in data aggregation. Then we develop an extensive simulation to validate our proposed analytical model. Numerical results show that an increment of buffering time results in a significant decrement in energy consumption. Our study provides guidelines to set up the buffering time for data aggregation in M2M networks.
| 原文 | English |
|---|---|
| 主出版物標題 | 2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012 |
| 頁面 | 95-99 |
| 頁數 | 5 |
| 出版狀態 | Published - 2012 十二月 1 |
| 事件 | 2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012 - Taipei, Taiwan 持續時間: 2012 九月 24 → 2012 九月 27 |
出版系列
| 名字 | International Symposium on Wireless Personal Multimedia Communications, WPMC |
|---|---|
| ISSN（列印） | 1347-6890 |
Other
| Other | 2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012 |
|---|---|
| 國家 | Taiwan |
| 城市 | Taipei |
| 期間 | 12-09-24 → 12-09-27 |
指紋
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
引用此文
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Effect of data aggregation in M2M networks. / Tsai, Shin Yeh; Sou, Sok-Ian; Tsai, Meng-Hsun.
2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012. 2012. p. 95-99 6398746 (International Symposium on Wireless Personal Multimedia Communications, WPMC).研究成果: Conference contribution
TY - GEN
T1 - Effect of data aggregation in M2M networks
AU - Tsai, Shin Yeh
AU - Sou, Sok-Ian
AU - Tsai, Meng-Hsun
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Machine-to-Machine (M2M) communication technologies provide capabilities for devices to communicate with each other through wired and wireless systems. Applying data aggregation is an efficient way to reduce energy consumption of M2M network. We devise an analytical model to compute the transmission delay and energy efficiency in data aggregation. Then we develop an extensive simulation to validate our proposed analytical model. Numerical results show that an increment of buffering time results in a significant decrement in energy consumption. Our study provides guidelines to set up the buffering time for data aggregation in M2M networks.
AB - Machine-to-Machine (M2M) communication technologies provide capabilities for devices to communicate with each other through wired and wireless systems. Applying data aggregation is an efficient way to reduce energy consumption of M2M network. We devise an analytical model to compute the transmission delay and energy efficiency in data aggregation. Then we develop an extensive simulation to validate our proposed analytical model. Numerical results show that an increment of buffering time results in a significant decrement in energy consumption. Our study provides guidelines to set up the buffering time for data aggregation in M2M networks.
UR - http://www.scopus.com/inward/record.url?scp=84873475744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873475744&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873475744
SN - 9789860334074
T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC
SP - 95
EP - 99
BT - 2012 15th International Symposium on Wireless Personal Multimedia Communications, WPMC 2012
ER -