Intelligent planning for developing mobile IoT applications using cloud systems

Sik-Sang Yau, Arun Balaji Buduru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

IoT (Internet of Things) is increasingly becoming more popular mainly due to the fact that almost all the smart devices nowadays are network enabled to facilitate many current and emerging applications. However, some important issues still need to be addressed before fully realizing the potential of IoT applications. One of the most important issues is to have effective approaches to planning various device actions to satisfy user requirements efficiently and securely in mobile IoT applications. A mobile IoT application can be composed of mobile cloud systems and devices, such as wearable devices, smart phones and smart cars. In this type of systems, mobile networks with elastic resources from various mobile clouds are effective to support IoT applications. In this paper an effective approach to intelligent planning for mobile IoT applications is presented. This approach includes a learning technique for dynamically assessing the users' mobile IoT application and a MDP (Markov Decision Process) planning technique for enhancing efficiency of IoT device action planning. Simulation results are presented to show the effectiveness of our approach.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE 3rd International Conference on Mobile Services, MS 2014
EditorsRong Chang, Nimish Radia, Yan Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-62
Number of pages8
ISBN (Electronic)9781479950607
DOIs
StatePublished - Oct 14 2014
Event2014 3rd IEEE International Conference on Mobile Services, MS 2014 - Anchorage, United States
Duration: Jun 27 2014Jul 2 2014

Publication series

NameProceedings - 2014 IEEE 3rd International Conference on Mobile Services, MS 2014

Other

Other2014 3rd IEEE International Conference on Mobile Services, MS 2014
Country/TerritoryUnited States
CityAnchorage
Period6/27/147/2/14

Keywords

  • MDP planning
  • Mobile IoT applications
  • dynamic assessment
  • intelligent systems
  • learning
  • mobile cloud
  • u-things

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications

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