State-machine driven collaborative mobile sensing serving multiple Internet-of-Things applications

Radhika Loomba, Lei Shi, Brendan Jennings

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

Abstract

The myriad of sensor information that can be collected using smartphones, wearables and other IoT devices greatly benefits context-aware applications. These applications rely heavily on mobile devices, present in locations of interest, to offload raw or processed sensor data in order to accurately capture, recognize and classify the surrounding real-time context. However, continuous sensing and offloading of large volumes of mainly redundant sensor data significantly impacts energy-constrained mobile devices. This results in a trade-off between sensing accuracy and the energy consumed by these devices. We propose the use of application-specific state machines that encode the context of interest to determine when sensed data should be offloaded to the cloud. Our control algorithm, 'Assisted-Aggregation' applies frequent pattern mining to reduce the number of active devices by sharing sensed data between multiple applications. Our evaluation shows an improvement in terms of the residual energy of the mobile devices, the number of devices actively offloading and the volume of the offloaded data.

Original languageEnglish
Title of host publicationProceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management
EditorsProsper Chemouil, Paulo Simoes, Edmundo Madeira, Stefano Secci, Edmundo Monteiro, Luciano Paschoal Gaspary, Carlos Raniery P. dos Santos, Marinos Charalambides
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1229-1237
Number of pages9
ISBN (Electronic)9783901882890
DOIs
Publication statusPublished - 20 Jul 2017
Event15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017 - Lisbon, Portugal
Duration: 08 May 201712 May 2017

Publication series

NameProceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management

Conference

Conference15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017
Country/TerritoryPortugal
CityLisbon
Period08/05/201712/05/2017

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