Beschreibung
Dissimilar sensor nodes in the heterogeneous network are the efficient network strategy. Since it has some capabilities like enhanced processing ability, additional memory power and distant transmission ability. For effective clustering and route formation among the pair of nodes, an efficient Enhanced Fuzzy C means and Adaptive TDMA Scheduling (ECATS) method is proposed as a protocol to facilitate communication within the network. So that data packets can be delivered within time to the mobile sink. Here introducing the novel protocol named as Neural Elliptic Galois (NEG) cryptography for efficient data security. Also, the location privacy (Threshold fault node detection) is taken in to account for better security. Cluster head (CH) selection is done on the basis of energy to manage the data aggregation among a number of nodes in the network. Here, hybridization of TDMA based Ant Lion Optimization scheduling is introduced for optimal CH selection is used for better energy efficiency. Finally, ECATS can be done with optimized WSN performance metrics such as packet delivery ratio, throughput, minimum energy consumptions, communication overheads & end to end delay.
Autorenporträt
Dr. V. Kavidha received the B.E degree, M.E degree and Ph.D Degree from the Manonmaniam Sundaranar University, Tirunelveli, TamilNadu, India. Currently she is working as Associate Professor in the department of Computer Science Engineering, National Engineering College, Kovilpatti, Tamilandu, India. She has awarded KFAntia Memorial Prize.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
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