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Spatially Cohesive Service Discovery and Dynamic Service Handover for Distributed IoT Environments

  • Kyeong-Deok Baek
  • In-Young KoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10360)

Abstract

The proliferation of the Internet of Things (IoT) enables the provision of diverse services that utilize IoT resources distributed in ad-hoc network environments. This has resulted in a new challenge, the issue of how to efficiently and dynamically discover appropriate IoT services that are necessary to accomplish a user task in the vicinity of the user. In this paper, we propose a service discovery method that finds IoT services from a user’s surrounding environment in a spatially cohesive manner so that the interactions among the services can be efficiently carried out, and the outcome of service coordination can be effectively delivered to the user. In addition, to ensure a certain Quality of user Experience (QoE) level for the user task, we develop a service handover approach that dynamically switches from one IoT resource to an alternative one to provide services in a stable manner when the degradation of the spatial cohesiveness of the services is monitored. The spatio-cohesive service discovery and dynamic service handover algorithms are evaluated by simulating a mobile ad-hoc network (MANET) based IoT environment. Then, various service discovery strategies are implemented on this simulation environment, and several options for the service discovery and handover algorithms are tested. The simulation results show that compared to various baseline approaches, the proposed approach results in a significant improvement in the spatial cohesiveness of the services discovered for user tasks. The results also show that the approach efficiently adapts to dynamically changing distributed IoT environments.

Keywords

Internet of things Distributed service discovery Service handover Spatio-cohesive service coordination Task-oriented computing 

Notes

Acknowledgment

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2016R1A2B4007585).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of ComputingKorea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea

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