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WSN Lifetime Extension Using GA Optimised Fuzzy Logic


Affiliations
1 College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Korea, Democratic People's Republic of
2 College of Software Platform, Sungkyunkwan University, Suwon 16419, Korea, Democratic People's Republic of
 

A wireless sensor network (WSN) consists of multiple sensor nodes and base stations that collect information from widely deployed sensors. However, the disadvantage is that WSNs are randomly distributed in an open environment, which makes them difficult to manage individually and more easily found and compromised by an attacker. An attacker can execute a false report insertion or invalid vote insertion attack through a compromised node. The Probabilistic Voting Filtering System (PVFS) is a system that prevents these two types of attacks. Before sending a report, the proposed method probabilistically selects a validation node, determines the validity of the report, and filters the report based on the thresholds that have been set. In this paper, the proposed scheme improves the lifetime, detection rate, and report delivery rate of the entire network by increasing the lifetime of the cluster head (CH) by selecting the numbers of message authentication codes (MACs) and verification nodes of the report. Using this system, the event detection rate and the network lifetime are improved by up to 18% and 6%, respectively, relative to the existing PVFS.

Keywords

Wireless Sensor Networks, False Report Injection Attack, False Vote Injection Attack, Secure Routing, Fuzzy System, Genetic Algorithm, Interactive Authentication.
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  • WSN Lifetime Extension Using GA Optimised Fuzzy Logic

Abstract Views: 315  |  PDF Views: 141

Authors

Sang-Hyeok Lim
College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Korea, Democratic People's Republic of
Tae-Ho Cho
College of Software Platform, Sungkyunkwan University, Suwon 16419, Korea, Democratic People's Republic of

Abstract


A wireless sensor network (WSN) consists of multiple sensor nodes and base stations that collect information from widely deployed sensors. However, the disadvantage is that WSNs are randomly distributed in an open environment, which makes them difficult to manage individually and more easily found and compromised by an attacker. An attacker can execute a false report insertion or invalid vote insertion attack through a compromised node. The Probabilistic Voting Filtering System (PVFS) is a system that prevents these two types of attacks. Before sending a report, the proposed method probabilistically selects a validation node, determines the validity of the report, and filters the report based on the thresholds that have been set. In this paper, the proposed scheme improves the lifetime, detection rate, and report delivery rate of the entire network by increasing the lifetime of the cluster head (CH) by selecting the numbers of message authentication codes (MACs) and verification nodes of the report. Using this system, the event detection rate and the network lifetime are improved by up to 18% and 6%, respectively, relative to the existing PVFS.

Keywords


Wireless Sensor Networks, False Report Injection Attack, False Vote Injection Attack, Secure Routing, Fuzzy System, Genetic Algorithm, Interactive Authentication.

References