Hierarchical Power Management in Disruption Tolerant Networks with Traffic-Aware Optimization

Jun, Hyewon; Ammar, Mostafa H.; Corner, Mark D.; Zegura, Ellen W.

Title:

Hierarchical Power Management in Disruption Tolerant Networks with Traffic-Aware Optimization

dc.contributor.author	Jun, Hyewon
dc.contributor.author	Ammar, Mostafa H.
dc.contributor.author	Corner, Mark D.
dc.contributor.author	Zegura, Ellen W.
dc.contributor.corporatename	Georgia Institute of Technology. College of Computing
dc.contributor.corporatename	University of Massachusetts at Amherst. Dept. of Computer Science
dc.date.accessioned	2007-05-10T17:21:31Z
dc.date.available	2007-05-10T17:21:31Z
dc.date.issued	2006
dc.description.abstract	Disruption tolerant networks (DTNs) are wireless mobile networks that are characterized by frequent partitions and long delays. Such networks can be used in highly-challenged environment in which energy resources are limited. Efficient power management, therefore, is essential for their success. In this paper, we present a hierarchical power management in DTNs where nodes are equipped with two complementary radios: a long-range, high power radio and a short range, low-power radio. In this architecture, energy can be conserved by using the low-power radio to discover communication opportunities with other nodes and then wake up the high-power radio to undertake the data transmission. We develop a generalized power management framework and its variations around this idea and evaluate their relative performance. In addition, for the case in which traffic load can be predicted, we devise approximation algorithms to control the sleep/wake-up cycling to provide maximum energy conservation while discovering enough communication opportunities to handle a given traffic load. We evaluate our schemes and our choice of parameters through ns-2 simulations. Our simulation results show that the generalized power management mechanism could augment the usefulness of the low power radio and achieve better energy efficiency than mechanisms relying on one radio for discovery. In addition, our approximation algorithms reduce energy consumption from 73% to 93% compared with the case without power management. We also observe that while an additional low power radio does reduce the energy consumption needed for discovery, the improvement could be negligible in mobile DTNs due to the low density of nodes.	en
dc.identifier.uri	http://hdl.handle.net/1853/14339
dc.language.iso	en_US	en
dc.publisher	Georgia Institute of Technology	en
dc.relation.ispartofseries	SCS Technical Report ; GIT-CSS-06-05	en
dc.subject	Continuous aware mechanism (CAM)	en
dc.subject	Disruption tolerant networks (DTNs)	en
dc.subject	Generalized Power Saving Mechanism (GPSM)	en
dc.subject	Message ferrying	en
dc.subject	Nodes	en
dc.subject	Power saving mechanism (PSM)	en
dc.subject	Radio interfaces	en
dc.subject	Random-waypoint (RWP)	en
dc.subject	Short-range-radio-dependent power saving mechanism (SPSM)	en
dc.subject	Wireless mobile networks	en
dc.title	Hierarchical Power Management in Disruption Tolerant Networks with Traffic-Aware Optimization	en
dc.type	Text
dc.type.genre	Technical Report
dspace.entity.type	Publication
local.contributor.author	Ammar, Mostafa H.
local.contributor.author	Zegura, Ellen W.
local.contributor.corporatename	College of Computing
local.contributor.corporatename	School of Computer Science
local.relation.ispartofseries	College of Computing Technical Report Series
local.relation.ispartofseries	School of Computer Science Technical Report Series
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