Enhanced privacy preserving pattern-code based data aggregation in wireless sensor networks

In their nature, wireless sensor nodes are resource restrained, such as low power capabilities and small memory. These limitations inevitably affect secure energy-efficient wireless sensor networks protocols in such way that some cryptographic algorithms such as asymmetric algorithms are not convenient to be used in wireless sensor nodes. In this paper, based on perturbation-based efficient confidentiality preserving scheme and Energy-Efficient Secure Pattern Based Data Aggregation for Wireless Sensor Networks scheme, we achieve higher energy-efficiency by using pattern-codes approach to avoid energy wastage due to sending redundant data to cluster-heads. Symmetric cryptographic algorithms such as perturbation algorithm used are more convenient to wireless sensors by providing high data privacy and confidentiality as well.