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Abstract Problem statement: Secure data aggregation is a challenging task in wireless sensor Network due to the facts like more complexity, greater overhead in the case of cryptographictechniques. These issues need to be overcome using efficient technique. Approach: We propose afuzzy based secure data aggregation technique which was having 3 phases. In its first phase, itperforms clustering and cluster head election process. In the second phase, within each clusters, powerconsumed, distance and trust values were calculated for each member. In the third phase, based onthese parameters, fuzzy logic technique was used to select the secure and non-faulty node members for Data aggregation. Finally, the aggregated data from the cluster heads was transmitted to the sink. Results: By simulation results we show that our technique had improved throughput and packetdelivery ratio with reduced packet drop and less energy consumption.
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Fuzzy Based Secure Data Aggregation Technique in Wireless Sensor Networks
Abstract
Problem statement: Secure data aggregation is a challenging task in wireless sensor
Network due to the facts like more complexity, greater overhead in the case of
cryptographic techniques. These issues need to be overcome using efficient technique.
Approach: We propose a fuzzy based secure data aggregation technique which was
having 3 phases. In its first phase, it performs clustering and cluster head election
process. In the second phase, within each clusters, power consumed, distance and trust
values were calculated for each member. In the third phase, based on these parameters,
fuzzy logic technique was used to select the secure and non-faulty node members for
Data aggregation. Finally, the aggregated data from the cluster heads was transmitted
to the sink.
Results: By simulation results we show that our technique had improved throughput
and packet delivery ratio with reduced packet drop and less energy consumption.
Conclusion: The proposed technique efficiently checks for malicious nodes based on
the system parameters and maintains a secure aggregation process in the network.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300,9500075001
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0th Review 1st Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation
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Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two
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