1. SHASHIDHAR P K - Research Scholar, RRC, VTU, Belagavi and Assistant professor, Department of ECE, SKSVMACET,
Lakshmeshwara, Gadag.
2. Dr. T C THANUJA - Professor, Department of ECE, Muddenahalli cenrtre, Chikkaballapur, VTU.
3. Dr. RAJASHEKAR KUNABEVA - Associate Professor, Department of ECE, SKSVMACET, Lakshmeshwara, Gadag.
A wireless network that incorporates multiple node sensing, processing, and communication is stated as the Internet of Things (IoT). The IoT node performs a different task for monitoring, sending, and processing the data. Multimedia IoT (MIoT) resolves specific issues for the evaluation of multimedia characteristics. The multimedia IoT is capable of processing scalar data such as video, audio, and images. At present, healthcare uses digital technology to monitor medical information through visual analysis of healthcare data. The multimedia IoT nodes are energy constraints with limited battery supply. It is hard to replace or change the battery within multimedia IoT which minimizes the lifetime of the network. This paper concentrated on improving the network lifetime of the IoT with RPL based routing scheme. The proposed scheme is denoted as Middle-order optimal Routing (MOOR).The proposed scheme concentrated on the medical data transmission for the healthcare system. The developed scheme comprises the three characteristics such as clustering, optimization, and routing. Initially, the clustering of nodes is constructed based on the middle-order approach. With the clustered network optimal route are evaluated for the data transmission. Through the computed optimal routes RPL based routing is performed for an improved lifetime of the network in multimedia IoT. The performance of the proposed MOORis evaluated for medical multimedia data transmission. The simulation results expressed that the proposed MOOR scheme exhibits ~4% - 5% improved performance with conventional technique in terms of throughput, packet delivery ratio (PDR), and a lifetime of the node. Additionally, the proposed MOOR scheme reduces the end-to-end delay and energy consumption.
Multimedia IoT, Clustering, Biomedical, Multimedia data, RPL routing, Optimization.