ENERGY AWARE AND CONFIDENCE BASED ADVERSARY NODE DETECTION IN WBAN

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ENERGY AWARE AND CONFIDENCE BASED ADVERSARY NODE DETECTION IN WBAN

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Abstract

Body area networks (BAN) have recently been released being an essential tool for maintaining various tele-health applications. In the earlier period, numerous unidentified verification approaches for improving the safety through defending patients’ identities also encoding medical information. Though, several approaches are not protected adequate. Require of adversary identification as well as protected information transaction contributes to malfunction in WBAN. Though, occasionally a node might reject to transmit information either since its restricted energy otherwise other resource fulness’s. To address these issues, this work proposes Energy Aware and Confidence Driven Adversary (EACA) Node Detection in WBAN. Here, confidence management is used for recognizes the malevolent node detection in the WBAN. Energy aware routing is used for chooses the energy efficient node in the network.

Keywords

Energy aware routing confidence management Adversary node detection Wireless Body Area Network

References

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