Locus: A location-based data overlay for disruption-tolerant networks

Nathanael Thompson, Riccardo Crepaldi, Robin Kravets

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Embedded sensors in mobile devices such as cars and smart phones present new opportunities to collect location-specific data about an environment. This data can be used to enable new real-time location-based applications. A major challenge is efficiently collecting, storing and sharing the data. This paper proposes Locus, a location-based data overlay for DTNs. Locus keeps objects at specific physical locations in the network using whatever devices currently are nearby. Nodes copy objects between themselves to maintain the locality of data. Location utility functions prioritize objects for replication and enable location-based forwarding of data look-ups. As a first-of-its-kind application, Locus is compared against other possible replication policies and shown to achieve query success rates nearly 4 times higher than other approaches.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th ACM Workshop on Challenged Networks, CHANTS '10, Co-located with MobiCom'10 and 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc'10
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Print)9781450301398
StatePublished - 2010
Event5th ACM Workshop on Challenged Networks, CHANTS '10 - Chicago, IL, United States
Duration: Sep 20 2010Sep 24 2010

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM


Other5th ACM Workshop on Challenged Networks, CHANTS '10
Country/TerritoryUnited States
CityChicago, IL


  • DTN
  • Data overlay
  • Location-based

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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