Abstract
Energy management of WSN is one of the major issues. Many kind of attacks in WSN paralyze the network by exhausting node energy. Especially false report insertion attack, which is one of the several WSN attacks, is to inform users of false alarms as well as unnecessary energy consumption. F. Ye et al. proposed statistical en-route filtering to prevent false report injection attacks. In order to effectively use their scheme, techniques for determining thresholds using fuzzy logic have been studied. To effectively apply these techniques to the network, an appropriate security level period update should be set according to the network environments. In this paper, we propose a security period update method using fuzzy logic in order to improve the lifetime of the network in the statistical en-route filtering approach based on a wireless sensor network of the cluster environment. Normally SEF thresholds should be changed by a user according to the network environment. Our proposed method allows automatically setting the effective threshold for the environment by fuzzy logic. The experimental results show that the energy efficiency increased by 26.5%.
Highlights
A wireless sensor network (WSN) consists of hundreds to thousands of sensor nodes and a base station (BS), providing real-time monitoring of sensor fields in industrial, medical, and military applications
If the update period is wide, the node information value must be requested to the node every time, which is inefficient in an environment where the attack rate does not change
WSN is vulnerable to false report injection attacks because nodes are exposed to the open environment
Summary
A wireless sensor network (WSN) consists of hundreds to thousands of sensor nodes and a base station (BS), providing real-time monitoring of sensor fields in industrial, medical, and military applications. If the MB node is compromised, it can generate a false event notification to the CH node, depleting the node energy of the cluster region and deploy incapacitating nodes To minimize this problem, it is necessary to detect and remove the false report early and to filter out incorrect alarms to users. Security threshold determining methods using fuzzy logic was proposed to obtain an appropriate security threshold value [8]. This method does not consider the security update cycle of the node. We propose a security period update method using the fuzzy logic to improve the energy efficiency of SEF-based WSNs. The proposed method automatically determines the update cycle considering network environment factors.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
