## 1 Introduction  
A novel paradigm known as the internet of things (IoT) [1, 2, 3] emerged in the past decade due to the development of wireless technologies. This paradigm was introduced by [PERSON] in 1998 as a way to connect things or objects to the internet. The IoT now has many applications, such as smart homes, smart cities, transportation, healthcare, etc., supporting the community with real-time data collection and analysis [4, 5, 6]. Multimedia internet of things (MIoT) is promising for multimedia communication, in bringing novelties and providing an emerging model with the integration of constraint-oriented sensor networks [7, 8]. The multimedia industry is comprised of graphical data, smart machines, embedded systems, and media servers that increase the efficiency of production in an optimized manner [9, 10, 11]. IoT-based sensors are distributed and installed in various objects for observing environment conditions and sending the collected information to the end-user over the internet. In recent decades, many applications, such as agriculture, healthcare, military, vehicles, multimedia, etc., have offered smart services to remote users as well as controllers for physical communication [12; 13; 14]. However, the limited resources of IoT nodes offer various restrictions for real-time applications. Therefore, most existing solutions cannot be directly applied to multimedia-based networks. Moreover, with the increasing network scale, in terms of IoT-based cameras, vehicles, sensors, etc., these physical objects must forward a huge amount of data, depleting their battery power and explicitly decreasing the network performance. Unlike a wired network, wireless topologies are more adaptive toward sharing and managing data transmission among available communication channels [15; 16; 17; 18]. However, the wireless medium is shared, and many security threats are open for IoT-based networks. In MIoT, a huge amount of video and audio data are forwarded from sensors to the public cloud for further processing and storage purposes. However, most solutions impose additional communication overheads to maintain the multimedia routing phase. Recently, many researchers [19; 20; 21] have focused on coping with the routing policies in MIoT networks while considering the resource constraints of sensors. Moreover, data security cannot be avoided in the environment of the MIoT network due to the presence of malicious machines on the internet; such devices may leak data privacy and compromise the transmission system among IoT objects [22; 23; 24]. This work presents a multimedia internet of things model for quality assurance with the collaboration of intelligent edges and security against potential threats. It improves the development of the multimedia industry, in terms of data delivery, by incorporating intelligent edges with minimal time delays. The proposed model decreases the chances of data congestion over the wireless channels in transmitting multimedia data, with efficient utilization of a load on MIoT nodes. Moreover, the proposed model copes with vulnerable attacks from malicious entries and increases the performance of the multimedia industry by maintaining privacy and integrity. Furthermore, the security phase in the proposed model deals with unauthorized access among malicious machines and safely stores the data on the media systems for end-users. This article presents an optimization model with SDN architecture for multimedia sensors using artificial intelligence of things to provide reliable services, in terms of QoS, and offers efficient performance for constraint resources. Moreover, the proposed model supports trustworthy data delivery to network applications without compromising the identities of devices and content. It utilizes the artificial intelligence of things with mobile edges to offer multi-hop routing services and to attain low-cost communication overhead. The initial routes are constructed using the basic requirements of any network domain with the consideration of quality factors.