Open AccessWireless Rechargeable Sensor Network Fault Modeling and Stability Analysis
Author(s) -
S. R. Mugunthan
Publication year - 2021
Publication title -
journal of soft computing paradigm
Language(s) - English
Resource type - Journals
ISSN - 2582-2640
DOI - 10.36548/jscp.2021.1.006
Subject(s) - computer science , wireless sensor network , basic reproduction number , stability (learning theory) , node (physics) , task (project management) , fault (geology) , wireless , process (computing) , malware , value (mathematics) , real time computing , simulation , computer security , computer network , engineering , telecommunications , biology , medicine , machine learning , population , paleontology , environmental health , structural engineering , systems engineering , operating system
Wide attention has been acquired by the field of wireless rechargeable sensor networks (WRSNs ) across the globe due to its rapid developments. Addressing the security issues in the WRSNs is a crucial task. The process of reinfection, charging and removal in WRSN is performed with a low-energy infected susceptible epidemic model presented in this paper. A basic reproductive value is attained after which the epidemic equilibrium and disease-free points of global and local stabilities are simulated and analyzed. Relationship between the reproductive value and rate of charging as well as the stability is a unique characteristic exhibited by the proposed model observed from the simulations. The WRSN and malware are built with ideal attack-defense strategies. When the reproductive value is not equal to one, the accumulated cost and non-optimal control group are compared in the sensor node evolution and the optimal strategies are validated and verified.