International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Optimizing Energy and Memory Efficiency in Clone Detection for Wireless Sensor Networks

Author(s) K.MOUNIKA
Country India
Abstract In this study, we introduce an energy-efficient, location-aware clone detection protocol tailored for densely deployed Wireless Sensor Networks (WSNs), designed to ensure successful clone attack detection while maintaining a satisfactory network lifetime. Our approach leverages the location information of sensors and employs a random selection of witnesses positioned within a ring area to authenticate sensor legitimacy and report clone attacks. The ring structure enhances energy efficiency by facilitating data forwarding along optimal paths to the witnesses and the sink.
Our theoretical analysis demonstrates that this protocol can achieve a 100 percent clone detection probability when witnesses are trustworthy. Furthermore, we extend our research to evaluate the protocol's performance with untrustworthy witnesses, finding that the clone detection probability remains robust, approaching 98 percent even if 10 percent of the witnesses are compromised. Unlike many existing clone detection protocols that rely on random witness selection and have buffer storage requirements dependent on node density, our protocol's buffer storage requirement is independent of node density and instead depends on the hop length of the network radius. Extensive simulations confirm that our protocol can significantly enhance network lifetime by efficiently distributing the traffic load across the network.
Keywords Wireless sensor network, Clone Detection
Field Computer > Network / Security
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-17
Cite This Optimizing Energy and Memory Efficiency in Clone Detection for Wireless Sensor Networks - K.MOUNIKA - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.22886
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.22886
Short DOI https://doi.org/gt2bx9
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E-ISSN 2582-2160
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