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Streaming Compression Multimedia Data over WMSNs based on Fairness Cluster-based Routing Protocol*

Given the data-hungry nature of Wireless Multimedia Sensor Networks (WMSNs) due to the need for near real-time processing of a large number of multimedia data, it is of significant practical importance to design/develop energy-efficient routing protocols to extend the WMSN’s collective lifetime. In this regard and to jointly utilize potential benefits that can be achieved by coupling clustering and image compression, the paper proposes a novel routing methodology referred to as the Energy Efficient Cluster-based Image Transmission (EECIT) scheme. In the proposed EECIT scheme, the multimedia-based sensor network is divided into different clusters depending on the node’s density, in which one node is adaptively assigned as the Cluster Head (CH). A key novelty of the proposed EECIT lies in the routing stage where ranking sensor nodes is performed via a new metric named Fair Selection (FS) coefficient, which is designed by considering a combination of mean-deviation and the number of times that nodes involve in routing. As a consequence of the fair distribution of energy consumption across the network, the network’s lifetime increases.