Effective and Efficient Steiner Maximum Path-Connected Subgraph Search in Large Social Internet of Things
Social Internet of Things (SIoT) is extended to integrate social networks in the Internet of Things (IoT). SIoT enriches IoT, and thus resource (or service) discovery and consolidation in SIoT becomes an important and challenging problem. In this paper, we represent the SIoT as the heterogeneous inf...
Main Authors: | Xiaolin Fan, Yuan Li, Jing Sun, Yuhai Zhao, Guoren Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9429179/ |
Similar Items
-
SIoT: A New Strategy to Improve the Network Lifetime with an Efficient Search Process
by: Abderrahim Zannou, et al.
Published: (2021-12-01) -
An Empirical Study of Social Network Activities via Social Internet of Things (SIoT)
by: Kuo Cheng Chung, et al.
Published: (2020-01-01) -
RASMA: a reverse search algorithm for mining maximal frequent subgraphs
by: Saeed Salem, et al.
Published: (2021-03-01) -
Defining Service-Oriented Trust Assessment for Social Internet of Things
by: M. Junaid Aslam, et al.
Published: (2020-01-01) -
Risk-Aware Identification of Highly Suspected COVID-19 Cases in Social IoT: A Joint Graph Theory and Reinforcement Learning Approach
by: Bowen Wang, et al.
Published: (2020-01-01)