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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, neighbouring devices could be an alternative to the cloud. In this paper we have developed a framework to offload computationally intensive algorithms to neighbours. We also propose few algorithms to maximize the performance of these system in a real-time computer vision applications. Results show significant performance increment while using some extra energy resource. Finally we define a new performance metric which also incorporates the energy consumed and compare the offloading algorithms.
|Title of host publication||European Signal Processing Conference (EUSIPCO)|
|Publication status||Published - 1 Sep 2016|
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- 1 Article
Sthapit, S., Thompson, J., Robertson, N. M. & Hopgood, J. R., 1 Jul 2019, In: IEEE Transactions on Mobile Computing. 18, 7, p. 1499 - 1512 14 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile