Homomorphic Encryption for Compressed Sensing in Wireless Sensor Networks

Abstract

Sensors are tiny devices with limited power (generally a battery for the full sensor lifetime) and reduced computing resources and memory. WSN are deployed for many applications like environment monitoring and health monitoring. In order to reduce the energy consumption and increase the WSN life, adapted network protocols like routing and data aggregation are used. The scheduling of the communications also allow better management of active/idle status and hence optimize the energy consumption. Classical data compression and decompression algorithms are not adapted to WSN as requiring high memory and computation resources. Compressed sensing is an emerging method with practical results in fields like medical imaging. The adoption of compressed sensing in WSN is attracting many research efforts [1234]. Ensuring data security is a key challenge for sensitive applications like health and military. We have used Homomorphic encryption to protect data confidentiality with low energy consumption.