Selection of aggregator nodes and elimination of false data in wireless sensor networks

Abstract

False data elimination is very important in ensuring data integrity in wireless sensor networks. In the existing security mechanisms, the aggregator nodes quickly drain out the batteries due to the computational overhead caused by data aggregation and false data elimination, which leads to reduced network lifetime. In this paper, aggregator node selection and false data elimination scheme is proposed to eliminate the false data injected in heterogeneous wireless sensor networks. In order to balance the battery power consumption among the sensor nodes and to improve the network lifetime, the aggregator nodes are selected periodically based on location, taking advantage of the energy heterogeneity of the sensor nodes in the network. The location based selection of aggregator nodes brings in security challenges in localization and symmetric key exchange. Secure verifiable multilateration technique is employed to resolve the security issues in localization. The problem of symmetric key exchange is resolved by using a cryptographic scheme based on Jacobian Elliptic Chebyshev Rational Map. This scheme provides a better solution when hybrid sensor/mesh architecture cannot be implemented. Simulation results indicate that this scheme offers higher false data filtering and improved network lifetime.