OPTIMAL QOS ROUTING WITH PRIORITIZED REGION SCHEDULING OVER WMSN

The performance of surveillance sensor networks, environmental monitoring sensor networks etc. can be improved with the aid of sensors capable of retrieving multimedia content such as image and video data along with scalar data. The images of same scene of interest from multiple coexisting cameras may have overlapping regions. Transmission of these images individually which have redundant information unnecessarily consumes energy hence to overcome this problem we use prioritized region scheduling. Images from the multiple cameras taken as input can be processed into overlapping and non-overlapping region to get to know about redundant information. Our objective is to provide an efficient way to transmit the image to the sink such that improved image quality is perceived at the sink with the consideration of energy, buffer size, and hop count. The proposed protocol “Energy Efficient Prioritized Region Scheduling based Optimal Image Routing (EE-PRSOIR)” optimally transmit image over wireless sensor network. Multiple paths are built and are scored using path conditions based on availability of resources along the paths. Variant parameters such as free buffer size, energy, hop-count and packet loss. The data is transmitted through highest path score paths. The proposed scheme is compared with non-optimal scheme that it transmits the images without calculating the non-overlapping regions and overlapping regions of the original images that are captured and relevant paths are selected according to hop count for routing the image data to sink. Simulation results have demonstrated the effectiveness of the proposed scheme compared to non-optimal scheme using various metrics. In our previous work we have not calculated packet loss across different region and parameter which gives image quality. In this paper we have included and simulation graph shows better image quality and less packet loss across the image region.