Recent changes to Home

Discussion for Home page

Sheeraz — Tue, 11 Feb 2014 14:59:36 -0000

11 Feb, 2014

I have done a survey on power saving methods of 802.11 and the effect if they are modified a little bit i.e. not much modification required to the standard.

Lessons learned are:
1. Legacy-PSM mode is not feasible for continuous traffic i.e. real-time multimedia
2. U-APSD mode (in 802.11e) reduces delay and energy consumption as compared to PSM.
3. Separate packet transmission reduces delay, however is not energy efficient.
4. Frame aggregation is very helpful but delay bound should be known a priory.
5. End user's quality requirement and network conditions must be considered while choosing between PSM or U-APSD or frame aggregation threshold.

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 11:50:35 -0000

--- v5
+++ v6
@@ -3,6 +3,8 @@

 [Project Deliverables](https://sourceforge.net/p/egvs-iot/wiki/Deliverables/)
+
+[Project Activities](https://sourceforge.net/p/egvs-iot/wiki/Activities/)

 **Team Members:**

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 11:39:14 -0000

--- v4
+++ v5
@@ -1,6 +1,5 @@
-
 **Project Summary**
-The GREEN-IoM project presents a novel research vision for green video streaming over Internet of Multimedia (IoM), which is an enhancement to the Internet of Things (IoT). Its prime objective is to enable video streaming as part of the realization of IoT with reduced overall ecological footprint, in terms of energy consumption and CO2 emissions, while maintaining video fidelity as tradeoff with the energy and carbon footprints. The solution consists of a new novel architecture for IoM and a framework that comprises of new video encoding technique and communication protocols for green communication. The proposed IoM architecture is hierarchical in which the existing wired or wireless infrastructure, such as LTE and WiMAX, could be exploited at the higher tier, while IEEE 802.11 with new power saving functions is exploited at the lower tier to achieve energy efficient and high data rate links for multimedia devices. In the new video encoding architecture, compressive sensing is exploited along with the H.264/AVC to achieve low complexity with low video rate tailored for the low power and low cost video cameras, which are also characterized as low processing and storage devices. Second, the video transmission is dealt efficiently that is optimized according to the availability of energy sources and their ecological effects, thus aiming to support green video streaming over IoT. The project also investigates the potential of IEEE 802.11 for low power devices and proposes new power saving functions analogous to the reduced function devices with star/mesh topology in order to support high data rate requirements for multimedia devices with the energy consumption comparable to the ZigBee devices. Moreover, the project incorporates hybrid energy sources in which the devices are not only powered through the batteries but also some alternate energy sources, particularly solar cell. This will aim towards the next step of realizing IoT in the real-world applications involving multimedia devices extensively with the additional objective of green communication.
+This project presents a novel research vision for green video streaming over Internet of Multimedia (IoM), which is an enhancement to the Internet of Things (IoT). Its prime objective is to enable video streaming as part of the realization of IoT with reduced overall ecological footprint, in terms of energy consumption and CO2 emissions, while maintaining video fidelity as tradeoff with the energy and carbon footprints. The solution consists of a new novel architecture for IoM and a framework that comprises of new video encoding technique and communication protocols for green communication. The proposed IoM architecture is hierarchical in which the existing wired or wireless infrastructure, such as LTE and WiMAX, could be exploited at the higher tier, while IEEE 802.11 with new power saving functions is exploited at the lower tier to achieve energy efficient and high data rate links for multimedia devices. In the new video encoding architecture, compressive sensing is exploited along with the H.264/AVC to achieve low complexity with low video rate tailored for the low power and low cost video cameras, which are also characterized as low processing and storage devices. Second, the video transmission is dealt efficiently that is optimized according to the availability of energy sources and their ecological effects, thus aiming to support green video streaming over IoT. The project also investigates the potential of IEEE 802.11 for low power devices and proposes new power saving functions analogous to the reduced function devices with star/mesh topology in order to support high data rate requirements for multimedia devices with the energy consumption comparable to the ZigBee devices. Moreover, the project incorporates hybrid energy sources in which the devices are not only powered through the batteries but also some alternate energy sources, particularly solar cell. This will aim towards the next step of realizing IoT in the real-world applications involving multimedia devices extensively with the additional objective of green communication.

 [Project Deliverables](https://sourceforge.net/p/egvs-iot/wiki/Deliverables/)

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 11:25:04 -0000

--- v3
+++ v4
@@ -1,7 +1,14 @@
+
+**Project Summary**
+The GREEN-IoM project presents a novel research vision for green video streaming over Internet of Multimedia (IoM), which is an enhancement to the Internet of Things (IoT). Its prime objective is to enable video streaming as part of the realization of IoT with reduced overall ecological footprint, in terms of energy consumption and CO2 emissions, while maintaining video fidelity as tradeoff with the energy and carbon footprints. The solution consists of a new novel architecture for IoM and a framework that comprises of new video encoding technique and communication protocols for green communication. The proposed IoM architecture is hierarchical in which the existing wired or wireless infrastructure, such as LTE and WiMAX, could be exploited at the higher tier, while IEEE 802.11 with new power saving functions is exploited at the lower tier to achieve energy efficient and high data rate links for multimedia devices. In the new video encoding architecture, compressive sensing is exploited along with the H.264/AVC to achieve low complexity with low video rate tailored for the low power and low cost video cameras, which are also characterized as low processing and storage devices. Second, the video transmission is dealt efficiently that is optimized according to the availability of energy sources and their ecological effects, thus aiming to support green video streaming over IoT. The project also investigates the potential of IEEE 802.11 for low power devices and proposes new power saving functions analogous to the reduced function devices with star/mesh topology in order to support high data rate requirements for multimedia devices with the energy consumption comparable to the ZigBee devices. Moreover, the project incorporates hybrid energy sources in which the devices are not only powered through the batteries but also some alternate energy sources, particularly solar cell. This will aim towards the next step of realizing IoT in the real-world applications involving multimedia devices extensively with the additional objective of green communication.

+[Project Deliverables](https://sourceforge.net/p/egvs-iot/wiki/Deliverables/)

-Team Members:
+**Team Members:**

 [Ibaad ur Rehman](https://sourceforge.net/p/egvs-iot/wiki/Ibaad/)
+[Anum Ali](https://sourceforge.net/p/egvs-iot/wiki/Anum/)
+[Sheeraz Akhtar](https://sourceforge.net/p/egvs-iot/wiki/Sheeraz/)
+[Atif Rehman](https://sourceforge.net/p/egvs-iot/wiki/Atif/)

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 10:54:37 -0000

--- v2
+++ v3
@@ -1,8 +1,7 @@
-

 Team Members:

-[Ibaad-ul-Rehman] 
+[Ibaad ur Rehman](https://sourceforge.net/p/egvs-iot/wiki/Ibaad/)

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 10:52:05 -0000

--- v1
+++ v2
@@ -1,8 +1,8 @@
-Welcome to your wiki!

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].

-The wiki uses [Markdown](/p/egvs-iot/wiki/markdown_syntax/) syntax.

-[[members limit=20]]
-[[download_button]]
+
+
+Team Members:
+
+[Ibaad-ul-Rehman]

Home modified by Dr. Ghalib A. Shah

Dr. Ghalib A. Shah — Tue, 11 Feb 2014 07:13:17 -0000

Welcome to your wiki!

This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].

The wiki uses Markdown syntax.

Project Members:

Dr. Ghalib A. Shah (admin)