MIPSOE – Markov Integrated PSO Encryption Algorithm for Secure Data Aggregation

Various clustering algorithm exists in Wireless Sensor Networks concerned on balancing energy utilization. Many research issues deviate towards the formation of clusters based on energy, distance, and another sensor node’s resource parameters. In this article, the proposed protocol is composed of two phases. In the first phase, clusters are formed based on Particle Swarm Optimization and Markov’s Random Field mathematical calculation. The second phase generates a key, where the secret key is used for encryption technique. The proposed protocol is implemented in the NS2 simulator. When comparing the existing protocol with the proposed MIPSOE protocol it is inferred that there is an improvement in terms of network lifetime, throughput, delay, and packet delivery ratio.

Keywords: Markov Random Field, Particles Swarm Optimization, Wireless Sensor Networks

Suggested Citation: Suggested Citation

S, Reshma and K, Shaila and B M, Thippeswamy and K R, Venugopal, MIPSOE – Markov Integrated PSO Encryption Algorithm for Secure Data Aggregation (November 23, 2020). Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), Available at SSRN: https://ssrn.com/abstract=3735877 or http://dx.doi.org/10.2139/ssrn.3735877