Forthcoming articles


International Journal of Knowledge Engineering and Soft Data Paradigms


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International Journal of Knowledge Engineering and Soft Data Paradigms (2 papers in press)


Regular Issues


  • Hybrid Key Management Scheme for Heterogeneous Wireless Sensor Networks   Order a copy of this article
    by Sharmila Ramamurthy 
    Abstract: Wireless Sensor Network (WSN) is a large scale network with thousands of tiny sensor nodes deployed in the field which is widely used in real time applications that includes Internet of Things (IOT), Smart Card, Smart Grid, Smart Phone and Smart City. The greatest issue in wireless sensor network is secure key establishment and communication. The key management plays vital role to provide efficient key establishment in resources constraint device. Existing key management techniques have many limitations such as prior deployment knowledge, transmission range, insecure communication and node capture by the adversary. In this paper, hybrid key management scheme is proposed for heterogeneous WSN. Initially the keys are generated and pre-distributed into sensor nodes using hyper elliptic curve equation. After the deployment, the node tries to form a cluster and then establishes a symmetric key using Orthogonal Latin Square method, where the cluster heads and base station use public key encryption method based on Hyper Elliptic Curve Cryptography (HECC). This symmetric key encryption enhances the security with less communication and computational overhead between adjacent nodes in the cluster to improve the connectivity, network resilience and reduces the storage overhead. The simulation results show that the proposed scheme is better in terms of robustness, connectivity and lesser computational overhead with reduced key size.
    Keywords: wireless sensor network; clustering; key management scheme; orthogonal Latin square; hyper elliptic curve cryptography.

  • Estimation of the threshold parameter of a wear-out failure period in the case of a three-parameter Weibull distribution   Order a copy of this article
    by Takatoshi Sugiyama, Toru Ogura, Takakazu Sugiyama 
    Abstract: We aimed to estimate an interest for the threshold parameter for the wear-out failure period of a three-parameter Weibull distribution. Many researchers have studied various types of parameter estimation. It is possible to estimate the scale and shape of the distribution to a high degree of accuracy. However, estimating the value of the threshold parameter is sometimes difficult. In this paper we propose the unbiased estimator of the threshold parameter, minimum variance of unbiased estimator ``$T_{BEST}$''. In Section 2 we verify the validity of the $T_{BEST}$ by comparing existing threshold parameter estimator, based on the simulation studies of mean and mean squared error (MSE). Statistics $T_{BEST}$ tells us a lot of things, in the process of finding statistics. In the process of finding statistics, we know that sample other than the smallest sample have the information for the threshold parameter as the same as the smallest sample. In Section3, by simulation studies we compare $T_{BEST}$ and other estimator with known goodness. We show a numerical example to measure of fatigue lives in hours of 10 bearings from McCool (1974).
    Keywords: Estimation; threshold parameter; Weibull distribution; Minimum-variance unbiased estimator.