<p>With the development of smart objects, Social IoT (SIoT) has become more complicated. Mobility and service management issues have become the most challenging problems for mobile objects acting as service providers in the SIoT environment, particularly in service management, including service discovery, selection, and composition. To provide an optimal service management approach, a conceptual model is needed to separate the different layers of SIoT, from the end-user's request for service to the detection and composition stages. Moreover, timing QoS factors are crucial elements that sufficiently demonstrate the better performance of the used approaches in this scope. This paper considers a new approach to service management in SIoT mobile objects by displaying a model regarding the QoS factors (Response Time (RT), Wait Time (WT), Discovery Time (DT), Composition Time (CT), and Selection Time (ST)) and service parameters. The proposed approach directly compares static and mobile objects based on the datasets related to mobile and fixed private objects, which will be described later. It determines the mobile object's Search Area (SA) by estimating the object's distance from the requester. Simulation results present improvement in dedicated QoS factors in the mobile SIoT environment. It is concluded that it is essential to consider the timing criteria of service quality in the SIoT. This allows for timely improvements that help reduce service management time in service discovery, selection, and composition.</p>

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Service management for mobile objects in social internet of things

  • Mozhgan Malekshahi Rad,
  • Amir Sahafi,
  • Amir Masoud Rahmani

摘要

With the development of smart objects, Social IoT (SIoT) has become more complicated. Mobility and service management issues have become the most challenging problems for mobile objects acting as service providers in the SIoT environment, particularly in service management, including service discovery, selection, and composition. To provide an optimal service management approach, a conceptual model is needed to separate the different layers of SIoT, from the end-user's request for service to the detection and composition stages. Moreover, timing QoS factors are crucial elements that sufficiently demonstrate the better performance of the used approaches in this scope. This paper considers a new approach to service management in SIoT mobile objects by displaying a model regarding the QoS factors (Response Time (RT), Wait Time (WT), Discovery Time (DT), Composition Time (CT), and Selection Time (ST)) and service parameters. The proposed approach directly compares static and mobile objects based on the datasets related to mobile and fixed private objects, which will be described later. It determines the mobile object's Search Area (SA) by estimating the object's distance from the requester. Simulation results present improvement in dedicated QoS factors in the mobile SIoT environment. It is concluded that it is essential to consider the timing criteria of service quality in the SIoT. This allows for timely improvements that help reduce service management time in service discovery, selection, and composition.