Prioritizing flows for internet of things built on visible light communication

Abstract

Internet of things (IoT) consists of nodes with constraints concerning size, battery life, storage, processing, etc. Many IoT applications such as health monitoring systems generate huge amount of data that must be transmitted to destinations without delay during critical situations. Since IoT nodes have very small storage capacity, to transfer big data there is a requirement for a high bandwidth wireless technology such as visible light communication (VLC) which is harmless. Also flows that carry critical data must not be affected during congestion and must be given priority. The existing Transmission Control Protocol (TCP) has good congestion control algorithms but none of them consider the priority of flows during flow control. A Priority Queue based Flow Control Protocol named FCP_PQ is developed by providing priority to flows that carry critical data in high bandwidth network. The protocol developed ensures that only the flows that carry critical data are given priority over other flows during congestion by exhibiting an increase of 210 Kbps in case of goodput, 1.94% towards packet delivery ratio (PDR) and 4 Mega Bits transmission over 100 s time period in error free context and similar outcome is achieved in error-prone context compared to other flows.