Corpus ID: 212438017

A Survey on Secure and Energy Efficient Data Aggregation for Wireless Sensor Networks

@inproceedings{Priyadarsini2016ASO,
  title={A Survey on Secure and Energy Efficient Data Aggregation for Wireless Sensor Networks},
  author={C. Priyadarsini and D. Prema},
  year={2016}
}
  • C. Priyadarsini, D. Prema
  • Published 2016
  • Wireless Sensor Networks (WSNs) consist of a large number of sensor devices which use battery powered energy. More energy is wasted while sensing the information and transmitting the data. To save energy in WSNs data aggregation technique is used. It could cause some security problems since false may be injected during data aggregation by data aggregator. We focus on data aggregation problems in security and energy constrained in sensor networks. In this paper, we present a survey of secure… CONTINUE READING

    References

    SHOWING 1-10 OF 13 REFERENCES
    Secure Data Aggregation in Wireless Sensor Networks: Filtering out the Attacker's Impact
    • 116
    • PDF
    Secure Data Aggregation in Wireless Sensor Networks
    • 167
    • PDF
    Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Collusion Attacks
    • 169
    • PDF
    Anomaly Detection Based Secure In-Network Aggregation for Wireless Sensor Networks
    • 77
    • PDF
    Contiguous Link Scheduling for Data Aggregation in Wireless Sensor Networks
    • J. Ma, W. Lou, X. Li
    • Computer Science
    • IEEE Transactions on Parallel and Distributed Systems
    • 2014
    • 50
    • PDF
    Secure Continuous Aggregation in Wireless Sensor Networks
    • 13
    • PDF
    CDAMA: Concealed Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks
    • 68
    Capacity and Delay Analysis for Data Gathering with Compressive Sensing in Wireless Sensor Networks
    • 55
    • PDF
    Efficient Data Gathering with Mobile Collectors and Space-Division Multiple Access Technique in Wireless Sensor Networks
    • 98
    Compressed Data Aggregation: Energy-Efficient and High-Fidelity Data Collection
    • 148
    • Highly Influential
    • PDF