Email this article Sensor Sink-Cloud Server with Low Energy Consumption
Abstract
Wireless sensor networks have vital applications in areas such as healthcare, target tracking, and environmental control. The transfer of this private and sensitive data across insecure communication channels exposes it to a variety of security and privacy threats. To combat these dangers, solutions relying on techniques such as machine learning, bilinear pairing, elliptic curve cryptosystems, and biometrics have been proposed. Machine learning methods and bilinear pairing processes, on the other hand, have extraordinarily significant computing overheads, making them unsuitable for sensor devices. In terms of performance, it exhibits the lowest computation overheads, energy consumption and average communication costs among its peers.
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