Optimizing Wireless Multimedia Sensor Networks Path Selection using Resource Levelling Technique in Transmitting Endoscopy Biomedical data

Abstract The urge to transmit especially biomedical data rapidly is essential save human life. Every user demands for high speed communication with no delay. But the network suffers from huge delay which degrades performance of and it also dissatisfies expectation. To meet needs, proposed work mainly focuses on increasing minimizing in using Internet applied Things (IoT) Wireless Multimedia Sensor Networks. It can be achieved by avoiding over allocation resources i.e., resource level balancing planning transmission. These two have greater impact upgrading network. This paper introduces a unique methodology Networks end-device assisted system. transmission time reduced concept probability estimation crashing interpretative path. extends battery motes enhancing pace energy during process. Crashing Interpretative path protocol simulated against other literature method. simulation results shows that CCP provides better efficiency terms time, lifetime sensors greatly helpful precious