DocumentCode :
3577216
Title :
QoS Oriented Sensor Selection in IoT System
Author :
Shih-Yuan Yu ; Chi-Sheng Shih ; Hsu, Jane Yung-jen ; Zhenqiu Huang ; Kwei-Jay Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2014
Firstpage :
201
Lastpage :
206
Abstract :
Systems built for future Internet of Things (IoT) may have a large number of intelligent objects with sensing, actuating, and computing capabilities. In a specific context, a smart application deployed in the system needs to meet QoS requirement in order to provide a good experience for users. The Woking middleware use service oriented paradigm to help application developers define the logical functionalities using Flow Based Programs (FBP). Wukong will then map the abstraction of an application onto physical smart devices and actuators. In this paper, we study the QoS oriented mapping algorithm for applications with a set of QoS attributes. After developers specify how each attribute contributes to the overall QoS, Wukong will find the best mapping solution according to the requirement. We formalize the problem as a maximum weighted bipartite problem, and present the algorithm based on the Integer Linear Programming model. We show the algorithm performance by simulation.
Keywords :
Internet; Internet of Things; integer programming; intelligent sensors; linear programming; quality of service; FBP; Internet of Things system; IoT system; QoS oriented mapping algorithm; QoS oriented sensor selection; Wukong middleware; flow based program; integer linear programming model; intelligent actuator; intelligent sensor; maximum weighted bipartite problem; physical smart device; service oriented paradigm; Actuators; Bipartite graph; Computational modeling; Middleware; Quality of service; Temperature sensors; Internet of Things; Matchmaking; Middleware; Service Composition; Service Selection; Service-oriented computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN :
978-1-4799-5967-9
Type :
conf
DOI :
10.1109/iThings.2014.37
Filename :
7059662
Link To Document :
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