A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things
The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, i...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/6/1467 |
| _version_ | 1798005613929693184 |
|---|---|
| author | Waleed Alnumay Uttam Ghosh Pushpita Chatterjee |
| author_facet | Waleed Alnumay Uttam Ghosh Pushpita Chatterjee |
| author_sort | Waleed Alnumay |
| collection | DOAJ |
| description | The Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. A Beta probabilistic distribution is used to combine different trust evidences and direct trust has been calculated. The theory of ARMA/GARCH has been used to combine the recommendation trust evidences and predict the resultant trust value of each node in multi-step ahead. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models. |
| first_indexed | 2024-04-11T12:42:02Z |
| format | Article |
| id | doaj.art-71ccdbcd3bb2468da86e1808ea0e4d6b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:42:02Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-71ccdbcd3bb2468da86e1808ea0e4d6b2022-12-22T04:23:28ZengMDPI AGSensors1424-82202019-03-01196146710.3390/s19061467s19061467A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of ThingsWaleed Alnumay0Uttam Ghosh1Pushpita Chatterjee2Computer Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaElectrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USADepartment of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, VA 23529, USAThe Internet of things (IoT) is a heterogeneous network of different types of wireless networks such as wireless sensor networks (WSNs), ZigBee, Wi-Fi, mobile ad hoc networks (MANETs), and RFID. To make IoT a reality for smart environment, more attractive to end users, and economically successful, it must be compatible with WSNs and MANETs. In light of this, the present paper discusses a novel quantitative trust model for an IoT-MANET. The proposed trust model combines both direct and indirect trust opinion in order to calculate the final trust value for a node. A Beta probabilistic distribution is used to combine different trust evidences and direct trust has been calculated. The theory of ARMA/GARCH has been used to combine the recommendation trust evidences and predict the resultant trust value of each node in multi-step ahead. Further, a routing protocol has been designed to ensure the secure and reliable end-to-end delivery of packets by only considering trustworthy nodes in the path. Simulation results show that our proposed trust model outperforms similar existing trust models.https://www.mdpi.com/1424-8220/19/6/1467MANETsecuritytrustARMAGARCHclusteringIoTpredictive |
| spellingShingle | Waleed Alnumay Uttam Ghosh Pushpita Chatterjee A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things Sensors MANET security trust ARMA GARCH clustering IoT predictive |
| title | A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things |
| title_full | A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things |
| title_fullStr | A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things |
| title_full_unstemmed | A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things |
| title_short | A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of Things |
| title_sort | trust based predictive model for mobile ad hoc network in internet of things |
| topic | MANET security trust ARMA GARCH clustering IoT predictive |
| url | https://www.mdpi.com/1424-8220/19/6/1467 |
| work_keys_str_mv | AT waleedalnumay atrustbasedpredictivemodelformobileadhocnetworkininternetofthings AT uttamghosh atrustbasedpredictivemodelformobileadhocnetworkininternetofthings AT pushpitachatterjee atrustbasedpredictivemodelformobileadhocnetworkininternetofthings AT waleedalnumay trustbasedpredictivemodelformobileadhocnetworkininternetofthings AT uttamghosh trustbasedpredictivemodelformobileadhocnetworkininternetofthings AT pushpitachatterjee trustbasedpredictivemodelformobileadhocnetworkininternetofthings |