The introduction of ubiquitously connected mobile computing platforms acted as a catalyst for accessing and enjoying multimedia/visual contents on a more diverse set of computing environments than ever before. Recently, with the standardization of various protocols, a number of screen sharing services have been introduced, in which the contents of a mobile computing platform's screen is shared with a neighboring device . With these services, data contents collected from various external sensing sources, can be captured at a mobile platform and (visually) shared easily with others using direct wireless connections. However, a previously unconsidered technical issue begins to impact the user experience levels of these multimedia/screen sharing mobile services. Specifically, we begin to notice energy efficiency as an important performance factor to consider when utilizing visual contents on mobile platforms with resource limitations. Actively using computational resources for visual applications lead to device heating and shorter battery life-times, as well as increased use of the wireless bandwidth when downloading or sharing the visual contents.
|Title of host publication||IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||2|
|Publication status||Published - 2015 Apr 13|
|Event||14th International Symposium on Information Processing in Sensor Networks, IPSN 2015 - Seattle, United States|
Duration: 2015 Apr 13 → 2015 Apr 16
|Name||IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)|
|Conference||14th International Symposium on Information Processing in Sensor Networks, IPSN 2015|
|Period||15/4/13 → 15/4/16|
Bibliographical noteFunding Information:
This work was supported by the Basic Research Project (Development of an integrated early detection system of landslides based on real-time monitoring) of KIGAM funded by the MSIP, Korea.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
- Computer Networks and Communications