UbiCap: A Capability-based Run-time Model for Heterogeneous Sensors Management in Ubiquitous Operating System

Xiaojuan Li, Yu Zhang, Zhengyan Zhu, Yuan Yao, Xingshe Zhou

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

Abstract

The Ubiquitous Operating System(UOS) is a new type of operating system in response to the new patterns and scenarios of future human-cyber-physical ternary ubiquitous computing. Compared with traditional operating systems, one of the fundamental requirements of UOS is to adaptively manage numerous heterogeneous sensors according to dynamic environments and diverse tasks. However, traditional management focuses on the sensors' parameters and interfaces without highlighting the perception effect that is users' concern and dynamic changing. It also lacks a unified management approach for heterogeneous sensors. To overcome the limitations, we propose a novel heterogeneous sensors dynamic management model UbiCap, i.e., Ubiquitous Capability, which is based on the capability abstraction and adaptive run-time capability management mechanism. The capability provides a unified abstract for heterogeneous sensors. The adaptive run-time capability management mechanism transfers the management object from low-level hardware sensors to high-level sensing capability. The capability required and the available capability are matched to support run-time adaptive sensors selection. We implement a software prototype iS2ROS(intelligent Sensor Selection Robot Operating System) based on the UbiCap model. We then simulate a forest fire spot monitoring scenario where iS2ROS selects the optimal image sensor during the identification task execution while light or weather condition changes. Experiment results show that the iS2ROS achieves comparative sensing effectiveness through UbiCap with 50% power consumption lower compared to the traditional both-sensors approach.

Original languageEnglish
Title of host publication14th Asia-Pacific Symposium on Internetware, Internetware 2023 - Proceedings
PublisherAssociation for Computing Machinery
Pages134-143
Number of pages10
ISBN (Electronic)9798400708947
DOIs
StatePublished - 4 Aug 2023
Event14th Asia-Pacific Symposium on Internetware, Internetware 2023 - Hangzhou, China
Duration: 4 Aug 20236 Aug 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th Asia-Pacific Symposium on Internetware, Internetware 2023
Country/TerritoryChina
CityHangzhou
Period4/08/236/08/23

Keywords

  • adaptive
  • Capability
  • Heterogeneous Sensors Management
  • run-time
  • Ubiquitous Operating System

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