Offloading to neighbouring nodes in smart camera network

Saurav Sthapit, James R. Hopgood, Neil M. Robertson, John Thompson

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)


Mobile Cloud Computing refers to offloading computationally intensive algorithms from a mobile device to a cloud in order to save resources (time and energy) in the mobile device. But when the connection to the cloud is non-existent or limited, as in battle-space scenarios, exploiting neighbouring devices could be an alternative. In this paper we have developed a framework to offload computationally intensive algorithms to neighbours in order to minimise the algorithm completion time. We propose resource allocation algorithms to maximize the performance of these systems in real-time computer vision applications (drop less targets). Results show significant performance improvement at the cost of using some extra energy resource. Finally we define a new performance metric which also incorporates the energy consumed and is used to compare the offloading algorithms.
Original languageEnglish
Title of host publication2016 24th European Signal Processing Conference (EUSIPCO)
Number of pages5
ISBN (Electronic)978-0-9928-6265-7
ISBN (Print)978-1-5090-1891-8
Publication statusPublished - 1 Dec 2016
Externally publishedYes
Event2016 24th European Signal Processing Conference (EUSIPCO) - Budapest, Hungary
Duration: 29 Aug 20162 Sept 2016


Conference2016 24th European Signal Processing Conference (EUSIPCO)


  • Cloud computing
  • Signal processing algorithms
  • IEEE 802.11 Standard
  • Clocks
  • Energy consumption
  • Approximation algorithms
  • Central Processing Unit


Dive into the research topics of 'Offloading to neighbouring nodes in smart camera network'. Together they form a unique fingerprint.

Cite this