Encryption of Video Streaming with Optimized Energy in WSN

Selective encryption for video streaming was proposed for efficient multimedia content protection. In this paper,we propose a scheme to optimize the energy, distortion, andencryption performance of video streaming in WSNs. However,previous works were focused on providing security for a single imageonly, without considering the temporal correlation and dependencyamong multiple pictures in a video sequence. The motion estimation/compensation and the residue coding from the inter-frame video compression have a great potential to further improve the efficiency of encryption and network resource allocation in WSNs.

This paper proposes a new WSN-based secure multimedia communication framework to enhance video transmission quality, reduces energy consumption, and guarantee security. Due to the limitation of computing and energy resource, selective encryption and resource allocation naturally fits well to WSN for two reasons.

First, selective encryption significantly reduces computational load by only controlling a tiny portion of the position information inmultimedia stream structure. The magnitude information is useless in decryption without correct position information in the bit stream. Second, WSN has extremely limited energy resource which requireshigh communication energy efficiency by UEP-based WSN resource allocation.

Simulation experiments demonstrate that the proposed joint selective encryption and resource allocation scheme can improve the video transmission quality significantly with guaranteed content protection and energy efficiency.