Paper Info
Title
An Intensive Location-Aware Framework for Device-Involved Human Tasks
Abstract
The daily human tasks are usually involved in various physical devices deployed in local environments. However, it is still painful for users to find the appropriate device to complete these tasks. This becomes a critical issue when massive numbers of devices are increasingly emerging in the people's daily life, although it is not significant now. Location is a crucial factor for device selection, but most of existing location aware systems ignore the limitation of the real world. In this paper, we propose an intensive location-aware framework, which can automatically find the devices in the vicinity to help users complete the device-involved tasks quickly and easily. A space model and interactive range model are defined to measure the location information in the real world. Based on the proposed models, an intensive location-aware algorithm of device selection is proposed to find out the appropriate device for a given task. A prototype of proposed framework is implemented and several experiments are conducted to verify its performance and usability.
Year
DOI
Venue
2013
10.1109/HPCC.and.EUC.2013.306
HPCC/EUC
Keywords
Field
DocType
location-aware,location aware systems,physical devices,home automation,device-involved human tasks,space model,device selection,interactive range model,device-involved task,home computing,interactive systems,intensive location-aware framework,daily human tasks,mobile computing,quality of service,tv,visualization,filtering
Visualization,Computer science,Usability,Filter (signal processing),Quality of service,Real-time computing,Location aware,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yuqiong Xu1172.35
Shijian Li2115569.34
Zhaohui Wu33121246.32
Gang Pan41501123.57