DocumentCode
648809
Title
Raven: Energy aware QoS control for DRNs
Author
Chenji, Harsha ; Smith, Lee ; Stoleru, Radu ; Nikolova, Evgeniya
Author_Institution
Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
fYear
2013
fDate
7-9 Oct. 2013
Firstpage
464
Lastpage
471
Abstract
Disaster Response Networks (DRNs) are disruption tolerant networks designed to deliver mission critical data during disaster recovery, while operating with limited energy resources. While Quality of Service is desired, it is difficult to offer guarantees because of the unpredictable nature of mobility in such DRNs. The variance of the packet delivery delay (PDV, more commonly called jitter), an important QoS metric which in DRNs is measured in tens of minutes instead of milliseconds, has not been sufficiently addressed in recent research. Smartphones used by first responders generate large data workloads, causing the PDV to further degrade. Reducing packet replication at these workloads will lower energy consumption, but reduces the packet delivery ratio (PDR). The complex interplay between these QoS metrics remains unclear, making their control difficult. We present Raven, a routing protocol for DRNs that offers control over QoS, especially the PDV. Stochastic graph theory which deals with probabilistic edge weights having a mean and variance is used to model mobility in the disaster area. A stochastic version of the K-Shortest Paths algorithm routes data over multiple paths simultaneously. Raven has been thoroughly evaluated in simulation using realistic settings. The dynamics between performance and energy consumption is analyzed mathematically, and its control is demonstrated.
Keywords
delay tolerant networks; energy consumption; graph theory; jitter; quality of service; routing protocols; DRN; K-shortest paths algorithm; PDV; QoS metric; data workloads; disaster recovery; disaster response networks; disruption tolerant networks; energy aware QoS control; energy consumption; jitter; limited energy resources; packet delivery delay; packet delivery ratio; packet replication; probabilistic edge weights; quality of service; raven; routing protocol; stochastic graph theory; Delay tolerant networking; Quality of service;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference on
Conference_Location
Lyon
ISSN
2160-4886
Type
conf
DOI
10.1109/WiMOB.2013.6673400
Filename
6673400
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