Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs
In large-scale wireless sensor networks (WSNs), in order to enhance network security, it is crucial for a trustor node to perform social milieu oriented routing to a target a trustee node to carry out trust evaluation. This challenging social milieu oriented routing with more than one end-to-end Qua...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/2/247 |
id |
doaj-b36923b82bcc41449a2a1e5b65622ee6 |
---|---|
record_format |
Article |
spelling |
doaj-b36923b82bcc41449a2a1e5b65622ee62020-11-24T21:32:26ZengMDPI AGSensors1424-82202016-02-0116224710.3390/s16020247s16020247Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNsLianggui Liu0Li Chen1Huiling Jia2School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaSchool of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaSchool of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaIn large-scale wireless sensor networks (WSNs), in order to enhance network security, it is crucial for a trustor node to perform social milieu oriented routing to a target a trustee node to carry out trust evaluation. This challenging social milieu oriented routing with more than one end-to-end Quality of Trust (QoT) constraint has proved to be NP-complete. Heuristic algorithms with polynomial and pseudo-polynomial-time complexities are often used to deal with this challenging problem. However, existing solutions cannot guarantee the efficiency of searching; that is, they can hardly avoid obtaining partial optimal solutions during a searching process. Quantum annealing (QA) uses delocalization and tunneling to avoid falling into local minima without sacrificing execution time. This has been proven a promising way to many optimization problems in recently published literatures. In this paper, for the first time, with the help of a novel approach, that is, configuration path-integral Monte Carlo (CPIMC) simulations, a QA-based optimal social trust path (QA_OSTP) selection algorithm is applied to the extraction of the optimal social trust path in large-scale WSNs. Extensive experiments have been conducted, and the experiment results demonstrate that QA_OSTP outperforms its heuristic opponents.http://www.mdpi.com/1424-8220/16/2/247social milieu oriented routingquality of trustquantum annealingquantum tunnelingWSNs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lianggui Liu Li Chen Huiling Jia |
spellingShingle |
Lianggui Liu Li Chen Huiling Jia Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs Sensors social milieu oriented routing quality of trust quantum annealing quantum tunneling WSNs |
author_facet |
Lianggui Liu Li Chen Huiling Jia |
author_sort |
Lianggui Liu |
title |
Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs |
title_short |
Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs |
title_full |
Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs |
title_fullStr |
Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs |
title_full_unstemmed |
Social Milieu Oriented Routing: A New Dimension to Enhance Network Security in WSNs |
title_sort |
social milieu oriented routing: a new dimension to enhance network security in wsns |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2016-02-01 |
description |
In large-scale wireless sensor networks (WSNs), in order to enhance network security, it is crucial for a trustor node to perform social milieu oriented routing to a target a trustee node to carry out trust evaluation. This challenging social milieu oriented routing with more than one end-to-end Quality of Trust (QoT) constraint has proved to be NP-complete. Heuristic algorithms with polynomial and pseudo-polynomial-time complexities are often used to deal with this challenging problem. However, existing solutions cannot guarantee the efficiency of searching; that is, they can hardly avoid obtaining partial optimal solutions during a searching process. Quantum annealing (QA) uses delocalization and tunneling to avoid falling into local minima without sacrificing execution time. This has been proven a promising way to many optimization problems in recently published literatures. In this paper, for the first time, with the help of a novel approach, that is, configuration path-integral Monte Carlo (CPIMC) simulations, a QA-based optimal social trust path (QA_OSTP) selection algorithm is applied to the extraction of the optimal social trust path in large-scale WSNs. Extensive experiments have been conducted, and the experiment results demonstrate that QA_OSTP outperforms its heuristic opponents. |
topic |
social milieu oriented routing quality of trust quantum annealing quantum tunneling WSNs |
url |
http://www.mdpi.com/1424-8220/16/2/247 |
work_keys_str_mv |
AT liangguiliu socialmilieuorientedroutinganewdimensiontoenhancenetworksecurityinwsns AT lichen socialmilieuorientedroutinganewdimensiontoenhancenetworksecurityinwsns AT huilingjia socialmilieuorientedroutinganewdimensiontoenhancenetworksecurityinwsns |
_version_ |
1725957539539976192 |