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A Framework for Context-Aware Data P...

Luqman, Faisal.

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A Framework for Context-Aware Data Prioritization.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Framework for Context-Aware Data Prioritization./
作者:	Luqman, Faisal.
面頁冊數:	166 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
Contained By:	Dissertation Abstracts International75-05B(E).
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3578663
ISBN:	9781303727153

A Framework for Context-Aware Data Prioritization.
Luqman, Faisal.

A Framework for Context-Aware Data Prioritization. - 166 p.

Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.

Thesis (Ph.D.)--Carnegie Mellon University, 2013.

In certain scenarios such as disaster response, hastily formed ad hoc networks often have limited resources, such as low bandwidth and processing capability. A sudden increase in data transmission in such resource-constrained networks frequently results in congestion, causing increased delay in sending data.

ISBN: 9781303727153Subjects--Topical Terms:

1669061
Engineering, Computer.

A Framework for Context-Aware Data Prioritization.
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245 1 2 $a A Framework for Context-Aware Data Prioritization.
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500 $a Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
500 $a Adviser: Martin Griss.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2013.
520 $a In certain scenarios such as disaster response, hastily formed ad hoc networks often have limited resources, such as low bandwidth and processing capability. A sudden increase in data transmission in such resource-constrained networks frequently results in congestion, causing increased delay in sending data.
520 $a The data transmitted in these ad hoc networks may be tied to critical events, which need to be delivered quickly so decision makers can address high priority issues as soon as they occur. Increased delays may cause slow response times and poor performance. Thus, the research problem we address is: How do we prioritize and ensure timely delivery of critical data in a congested ad hoc network..
520 $a In this thesis, we present Triage, a framework that enables real-time data transmission prioritization based on changes in sender context information. Existing quality of service mechanisms prioritize data transmission based on data content type. Our Triage framework additionally prioritizes data based on sender context as well as role, and enables relative importance of context values to be configured dynamically at run time.
520 $a We analyze the performance of Triage across several different types of network topologies using both a simulation environment and a sensor network testbed. We also demonstrate empirically how critical data transmission in our Triage framework outperforms baseline data transmission with higher throughput and lower packet delay, without significantly affecting fairness measurements.
590 $a School code: 0041.
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