# Internet of Multimedia Things (IoMT): Opportunities, Challenges and Solutions
## 1 Introduction  
Internet of Things (IoT) devices has limited memory and processing capabilities [1]. Hence, these constrained devices rely upon efficient routing protocols [2] and standardized communication stack [3]. Technological advancements in 5G [4], intelligent 5G-based IoT [5], IoT operating systems (OS) [6], data-driven intelligence in wireless networks [7], scheduling approaches for heterogeneous content-centric IoT [8], congestion avoidance techniques in IoT using data science [9], vehicular ad hoc networks (VANETS) [10], Information-centric networks (ICN) [11], reinforcement learning-based solutions for next-generation networks [12; 13], coexistence networks [14], IoT adaptation in agriculture [15] and Healthcare IoT [16] are helping to realize to connect everything and anywhere.  
Internet of Multimedia Things (IoMT) devices are different from IoT devices. It requires bigger memory, higher computational power, and more power-hungry with higher bandwidth [17]. Figure 1 shows the key data characteristics of IoT and IoMT. The real-time deployment scenarios vary from industrial IoT, Smart cities, Smart hospitals, smart grid, smart agriculture, and smart homes. The main characteristic of IoMT is the timely and reliable delivery of the data. Therefore, it imposes strict quality of service (QoS) requirements and demands efficient network architecture. The users perspective of QoS is known as quality of experience (QoE). QoE can be further characterized as objective or subjective. The users Objective QoE is challenging to measure and dramatically varies according to the needs. However, service providers concern with the subjective QoE to evaluate the network mean opinion score (MOS). The multimedia data is increasing multifold. It raises new challenges to transmit, process, store and share the data. Processing requires new techniques for edge, fog and cloud devices. Further compression and decompression techniques are introduced for the storage of multimedia data. Routing protocol for low-power and lossy networks (RPL) is the standard IoT routing protocol.  
It needs further development by considering energy-aware, load balancing, fault tolerance, and delay aware IoMT deployment scenarios.  
IoT characteristics support multimedia communications; however, multimedia applications are bandwidth-hungry and delay-sensitive. The rapid growth of multimedia traffic in IoT has led the way to innovating new techniques to meet its requirements. IoMT devices require higher bandwidth, bigger memory, and faster computational resources to process data. Typical communications include multipoint-to-point and multipoint-to-multipoint scenarios. Real-world multimedia applications include emergency response systems, traffic monitoring, crime inspection, smart cities, smart homes, smart hospitals, smart agriculture, surveillance systems, Internet of bodies (IoB), and Industrial IoT (IIoT). Dynamic networks, heterogeneous devices and data, strict QoS, and delay sensitivity and reliability requirements over resource-constrained IoMT pose humongous challenges for multimedia communication in IoT. Network-on-chip architecture [18; 19] is one of the viable solution to improve the user quality of experience. Figure 2 shows versatile IoMT applications.  
Figure 1: Key Data Characteristics of IoT and IoMT.  
The rest of the paper is organized as follows. Section 2 provides future research directions. Section 3 summarizes the accepted paper. Finally, Section 4 concludes the paper.