Abstract
Recently, wireless mobile computing has been realized in the industry, where mobile clients communicate by using their handheld devices. Meanwhile, data broadcasting is an effective way for data dissemination due to its beneficial characteristics such as bandwidth efficiency, energy-efficiency, and scalability. In this paper, we propose an XML stream optimization method for time critical data, which is highly dependant to the time. To end this, we utilize structural index to integrate the elements of same path into one node. Furthermore, we propose an attribute summarization strategy to minimize the size of the XML steam by classifying attribute names and values. Experimental results show that our method outperforms the previous wireless XML broadcast methods in terms of energy and latency-efficiency.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2nd International Conference on Interaction Sciences |
| Subtitle of host publication | Information Technology, Culture and Human |
| Pages | 492-496 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 - Seoul, Korea, Republic of Duration: 2009 Nov 24 → 2009 Nov 26 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 403 |
Other
| Other | 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 09/11/24 → 09/11/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy-efficiency
- Mobile computing
- Wireless broadcasting
- XML
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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