dc.contributor.author | Li, Z | |
dc.contributor.author | Chen, R | |
dc.contributor.author | Liu, L | |
dc.contributor.author | Min, G | |
dc.date.accessioned | 2017-02-14T10:51:48Z | |
dc.date.issued | 2015-06-30 | |
dc.description.abstract | © 2015 IEEE.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. | en_GB |
dc.description.sponsorship | This work was supported in part by the National Natural Science
Foundation of China under Grant 61202474, in part by the Project Funded by
China Postdoctoral Science Foundation under Grant 2015M570469, in part by
the Natural Science Foundation of Jiangsu Province under Grant BK20130528,
and in part by the Senior Professional Scientific Research Foundation of Jiangsu
University under Grant 12JDG049. | |
dc.identifier.citation | Vol. 3, Iss. 4, pp. 581 - 589 | en_GB |
dc.identifier.doi | 10.1109/JIOT.2015.2451138 | |
dc.identifier.uri | http://hdl.handle.net/10871/25832 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.rights | (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_GB |
dc.title | Dynamic Resource Discovery Based on Preference and Movement Pattern Similarity for Large-Scale Social Internet of Things | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2017-02-14T10:51:48Z | |
dc.description | Published | en_GB |
dc.description | Journal Article | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record. | en_GB |
dc.identifier.eissn | 2327-4662 | |
dc.identifier.journal | IEEE Internet of Things Journal | en_GB |