Secured Data with Enhanced Lifespan for Wireless Multimedia Sensor Networks

In wireless sensor network energy cutback is considered as a principle intensive challenge which is studied largely in the Wireless Sensor Networks (WSN) literature. On the other hand introduction of audio video streaming in wireless architecture reveals additional challenges. The image and video transmission not only demands for energyefficiency but also requires Quality of Service (QoS) assurance to ensure for the utilization of sensor resource as well as the reliability of information model. More over redundant statistics can be supplemented with streaming sequence for enhancing tracking accuracy. This paper proposes a Distributed Predictive Tracking and Verification Algorithm (DPTVA) which provides an improved to subdue existing conundrum in the streaming world. This protocol sense and categorize the level grades of sensor nodes and set nodes in a particular path to active mode and left over in sleep mode thus Predictive tracking algorithm consequences in superior energy consumption for sensing layers. Compared to classic Image Transmission Protocol and the traditional distributed predictive tracking and verification algorithm, this new algorithm has superior meeting and provides appreciably better QoS by ensuring 20% to 80% better efficiency with privileged security for manifold types of services in wireless multimedia sensor networks. Keywords— Data security, distributed predictive tracking, energy preservation, verification algorithm, wireless multimedia sensor network.