Dynamic Resource Discovery Based on Preference and Movement Pattern Similarity for Large-Scale Social Internet of Things

Given the wide range deployment of disconnected delay-tolerant social Internet of Things (SIoT), efficient resource discovery remains a fundamental challenge for large-scale SIoT. The existing search mechanisms over the SIoT do not consider preference similarity and are designed in Cartesian coordin...

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Bibliographic Details
Published in:IEEE internet of things journal 2016-08, Vol.3 (4), p.581-589
Main Authors: Li, Zhiyuan, Chen, Rulong, Liu, Lu, Min, Geyong
Format: Article
Language:English
Subjects:
Cartesian coordinate system
Communities
Cosine similarity
Delay
Delays
Economic models
Efficiency
Internet
Internet of Things
Mobile communication
movement pattern
Peer-to-peer computing
preference
resource discovery
Routing
Searching
Silicon dioxide
Similarity
Simulation
social Internet of Things (SIoT)
State of the art
Trajectory
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Summary:Given the wide range deployment of disconnected delay-tolerant social Internet of Things (SIoT), efficient resource discovery remains a fundamental challenge for large-scale SIoT. The existing search mechanisms over the SIoT do not consider preference similarity and are designed in Cartesian coordinates without sufficient consideration of real-world network deployment environments. In this paper, we propose a novel resource discovery mechanism in a 3-D Cartesian coordinate system with the aim of enhancing the search efficiency over the SIoT. Our scheme is based on both of preference and movement pattern similarity to achieve higher search efficiency and to reduce the system overheads of SIoT. Simulation experiments have been conducted to evaluate this new scheme in a large-scale SIoT environment. The simulation results show that our proposed scheme outperforms the state-of-the-art resource discovery schemes in terms of search efficiency and average delay.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2015.2451138