Watermarking and Multiobjective Based Secure Data Aggregation for Wireless Sensor Network

Wireless Sensor network is formed of sensor nodes, placed in defy and hostile environment. Many important fields are dependent on WSN for data gathering from human unreachable areas. Sensor nodes have restricted amount of resources like memory, battery. Data aggregation helps to reduce energy usage by minimizing data transmission and removing data redundancy. Research proposed Multiobjective based optimization for secure data aggregation. Multiobjective optimization is used for cluster level aggregation. The research proposed watermarking based mechanism for securing data Watermarking provides data confidentiality and data integrity with less computational cost. Results of the SDAMMO are compared with the MH-EESDA system. Results show that the SDAMMO system is more efficient than the MH-EESDA.