Game theory trust model with authentication and AES encryption (GTAAES) model for secure data aggregation in WSN

Abstract

Demand of wireless sensor networks has grown drastically due to their use in numerous real-time
monitoring applications. These networks are composed of several tiny sensor nodes that have limited
resources such as processing power, storage capacity, and area. Data transmission from one node to
another node consumes energy, excessive energy consumption may lead to the degraded network lifetime.
Moreover, the power supply to these sensor networks cannot be replaced hence maintaining energy
efficiency in these networks is a challenging task. Currently, the data aggregation technique has gained
an attraction to save the energy of the network discarding redundant information. However, data
aggregation urges for security and privacy hence we present a game theory-based trust management
model, and key distribution model for secure data aggregation. Finally, AES encryption-based scheme is
presented to secure the data while communicating between two or multiple hops. The comparative study
shows that the proposed approach reduces processing time, consumes less energy and reduces overall
network delay which is helpful to improve the network lifetime.