Ranking Based RPL for Multipoint-to-Point Multi-Modal Data Communication in Iot Network

IPv6 Routing Protocol for low power and lossy networks (RPL) is astandardized and default routing protocol for low power lossy networks. However, this is basically designed for sensor networks with scalar data and notoptimised for the networks with multi-modal sensors. The data rate of eachmulti-modal sensor varies based on various applications. RPL suffers frompacket drops and re-transmissions which results in packet loss and energy consumption in case of multi-modal data transmission. Hence, the routing strategyimplemented in RPL needs better scheduling strategy at parent node for forwarding packets based on various parameters. In this paper, relevant ObjectiveFunctions for multi-modal sensor data communication is proposed based onvarious parameters identified and a weighted ranking based scheduling strategy is proposed for multi-modal data communication called R-RPL. The goal ofproposed ranking based RPL (R-RPL) is to increase the throughput and reducethe loss in terms of energy and delay based on proposed scheduling strategy forparent selection. The performance of the proposed R-RPL is eval-uated in thecontiki based Cooja simulator and compared with RPL protocol. The analysisshows that the R-RPL performs better compared to RPL with respect to packetdelivery ratio and energy consumption.