DocumentCode
2048090
Title
Maximizing credibility-based network utility via power allocation
Author
Ciftcioglu, Ertugrul Necdet ; Yener, Aylin
Author_Institution
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear
2012
fDate
19-23 March 2012
Firstpage
8
Lastpage
13
Abstract
We consider Quality-of-Information (QoI)-based resource allocation in a scenario where multiple reporter nodes send information on an event of interest to a sink node. We express credibility of each reporter, an attribute of quality of information, as a function of both the proximity to the event and the type of information gathered. While a reporter close to the event using an advanced format as video may have high credibility, it might also need excessive network resources to transmit the information if it is far from the sink. To address this trade-off, we consider a network utility which depends on both information credibility and timeliness, and yields the timely and credible operational information content capacity (OICC) of this setting. We consider a network with a fixed transmission cost budget per event. Optimal power allocation among reporters is found that maximizes the utility. The constraint on network cost budget results in coupling among resources allocated to reporters. We demonstrate that power allocated to each reporter balances contrasting parameters associated with reporter location and type of information used. Overall, this work produces design insight bringing us one step closer to information quality aware wireless networking.
Keywords
quality of service; radio networks; QoI-based resource allocation; credibility-based network utility; information credibility; information quality aware wireless networking; information timeliness; network cost; operational information content capacity; power allocation; quality-of-information-based resource allocation; reporter nodes; sink node; Accuracy; Numerical models; Optimization; Quality of service; Resource management; Wireless networks; Credibility; Network Utility Maximization; Power Allocation; Quality of Information;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
Conference_Location
Lugano
Print_ISBN
978-1-4673-0905-9
Electronic_ISBN
978-1-4673-0906-6
Type
conf
DOI
10.1109/PerComW.2012.6197640
Filename
6197640
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