Enhanced Data Transmission in Wireless Sensor Networks Using Cluster Head Selection Optimization and Identity-Based Batch Verification
Nowadays, the wireless environment is more vulnerable to the variant attacks due to the wireless medium. Hence, the authentication and confidentiality of the sensed data are prime important. However, sensors are usually resource-constrained in terms of data computing, energy systems and facilitating authenticity in WSN applications. This paper develops the transmission of data in wireless sensor networks by using optimization methods for cluster head selection and identity-based batch verification, which assists to provide extended network lifetime by secure data transmission. It is processed out using Elephant Herding Optimization (EHO) that selects the fittest cluster head for data communication. Once the optimal cluster head is selected, the sensed data is aggregated and communicated via cluster head to cluster head system. The security of the aggregated data is further facilitated by the signature generated for the given ID. Since there is a probability of injecting false data, a mint-based signature is generated which improves the security of the WSN systems.Experimental analysis is carried out under pre-defined simulation parameters to achieve secure data transmission purposes. Through the experiments, the no. of active nodes, no. of nodes used for cluster head selection, the fitness value of an objective function and filtering ratio have Analyzed. The results depict that the proposed scheme ensures better authenticity and confidentiality of the data in an optimized process
Keywords: Wireless environment, optimal cluster head selection, Batch system, Authentication, and Confidentiality.