Consensus-based secure and efficient compressive sensing in a wireless network sensors environment

Abstract

Compressive sensing provides the optimal paradigm for data aggregation approach in wireless sensor networks as it holds the characteristics of low traffic cost and avoids the large communication overhead through a traditional approach. However, security is still considered one of the important, in recent years consensus-based approach has been one of the security highlights in compressive sensing. Moreover, a consensus is developed only with the help of genuine nodes. In this research work, a novel integrated-consensus-based secure compressive sensing (CSCS) is proposed which aims to develop a secure consensus environment to secure the network. Integrated-CSCS comprises several modules; at first certain variables are assigned to each node participating in the network. Later an algorithm is developed where each node evaluates the assigned neighbor variable and updates its states. Moreover, this phenomenon leads to the identification of genuine and compromised nodes. The proposed model is evaluated by considering the efficiency and security parameters; efficiency evaluation is carried out through energy consumption, and several node failures where as security is evaluated by considering the ability to identify the genuine node and malicious or corrupt node.