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Qos Based Authentication and Clustering in WSN with Proficient Meta-heuristic Based Fuzzy Logic Decision Module
N. Dhanalakshmi
Wireless Sensor Network possess great interest among researchers’ and industrialists mainly due to its contribution in many applications such as military, environment screening, etc., However, minimizing delay time and enhancing lifetime of network is considered to be a challenging task. Moreover, QoS (Quality of Service) based privacy preservation is also considered as a drawback since cluster head aggregation require more energy while sending the data to the base station in a secure way. To this purpose, the proposed work intends to utilize NFLDM-PQoS- ABC (Novel Fuzzy Logic based Decision Module with Proficient QoS based Ant Bee Colony). NFLM identifies anamoly nodes in cluster in order to control cluster failures. It is then accompanied with ABC algorithm which performs efficient selection of CH (Cluster Head) to perform CH operations through which QoS parameters such as network life time, throughput, delay and energy are improved considerably. Moreover, homomorphic encryption is used in proposed model which enables systematic security associated with privacy preservation. It performs computation directly on the encrypted data without accessing a secret key for maintaining security and increasing performance to a greater level to attain effectiveness in proposed methodology. Experimentation is done through MATLAB simulation and proposed model is capable of achieving higher lifetime more than 6500 rounds, lower energy consumption below 300 J, higher throughput of 90% and lower delay of 100 msec. Comparative analysis with existing systems such as cTDMA, LDC, iABC, DRA, and E2S-DRL are performed to determine the efficiency of the present research.
Keywords: WSN, clustering, network lifetime, QoS parameters, privacy preserving, MATLAB