Fuzzy-Based Trust Prediction Model for Routing in WSNs
The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/480202 |
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| author | X. Anita M. A. Bhagyaveni J. Martin Leo Manickam |
| author_facet | X. Anita M. A. Bhagyaveni J. Martin Leo Manickam |
| author_sort | X. Anita |
| collection | DOAJ |
| description | The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. In order to reduce the control overhead, FTPR received recommendations from a subset of neighbors who had maximum number of interactions with the requestor. Theoretical analysis and simulation results of FTPR protocol demonstrate higher packet delivery ratio, higher network lifetime, lower end-to-end delay, and lower memory and energy consumption than the traditional and existing trust-based routing schemes. |
| format | Article |
| id | doaj-art-aaf5d1bbe85f4016aeaae37838960470 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-aaf5d1bbe85f4016aeaae378389604702025-02-03T06:11:37ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/480202480202Fuzzy-Based Trust Prediction Model for Routing in WSNsX. Anita0M. A. Bhagyaveni1J. Martin Leo Manickam2Department of ECE, Anna University, Chennai 600025, IndiaDepartment of ECE, Anna University, Chennai 600025, IndiaDepartment of ECE, St. Joseph’s College of Engineering, Chennai 600119, IndiaThe cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. In order to reduce the control overhead, FTPR received recommendations from a subset of neighbors who had maximum number of interactions with the requestor. Theoretical analysis and simulation results of FTPR protocol demonstrate higher packet delivery ratio, higher network lifetime, lower end-to-end delay, and lower memory and energy consumption than the traditional and existing trust-based routing schemes.http://dx.doi.org/10.1155/2014/480202 |
| spellingShingle | X. Anita M. A. Bhagyaveni J. Martin Leo Manickam Fuzzy-Based Trust Prediction Model for Routing in WSNs The Scientific World Journal |
| title | Fuzzy-Based Trust Prediction Model for Routing in WSNs |
| title_full | Fuzzy-Based Trust Prediction Model for Routing in WSNs |
| title_fullStr | Fuzzy-Based Trust Prediction Model for Routing in WSNs |
| title_full_unstemmed | Fuzzy-Based Trust Prediction Model for Routing in WSNs |
| title_short | Fuzzy-Based Trust Prediction Model for Routing in WSNs |
| title_sort | fuzzy based trust prediction model for routing in wsns |
| url | http://dx.doi.org/10.1155/2014/480202 |
| work_keys_str_mv | AT xanita fuzzybasedtrustpredictionmodelforroutinginwsns AT mabhagyaveni fuzzybasedtrustpredictionmodelforroutinginwsns AT jmartinleomanickam fuzzybasedtrustpredictionmodelforroutinginwsns |