Research And Implementation On Lightweight Secure Data Aggregation Scheme In Wireless Sensor Networks

The sensor nodes in the WSNs, which have the distributing densely and perceiving collaboration qualities, complete the tasks of collecting of information, surveillance and perceiving environment. The computing, storage and communication ability are suffered to severe constraint due to the limitation of the resource. The single node transmits data to the Sink individually which causes large waste in communication bandwidth and valuable energy resource. Data aggregation technology, using to alleviate these problems, can save the energy of the wireless sensor nodes and extend network life cycle by reducing redundant information and network data traffic.The openness and self-organization qualities of the sensor network expose its vulnerability to the attackers and causes even worse damages. Efficient and feasible secure data aggregation scheme build a firm foundation for the application in wireless sensor network in the military, political, economic and other departments. The progress in the wireless sensor networks data aggregation protocol gains huge improvements these years and this paper research and compare with the classic secure data aggregation protocol in the following two aspects: confidentiality and integrity.In the confidential schemes, taking effective and non-normal mode encryption system to ensure the privacy of data aggregation not be disclosed is a great challenge. The research motivation is confidentiality data aggregation, and analyzed a classic cluster-based private data aggregation algorithm CPDA, this algorithm uses the data perturbation technology to protect the privacy of the data which causes huge consumption of communication and computing. Based on the scheme this paper proposes a lightweight secure data aggregation scheme LSDA, which has good flexibility and practical applicability, uses the slice-assemble technology, which the number of fragments can dynamic change with the scale of network, simplify the nodes calculation amount and reduce the communication consumption. Finally, the simulation and theoretical analysis shows that LSDA meet the general privacy protection requirement, but costs less communication overhead and computational overhead than CPDA and ensure the accuracy of the data aggregation results.