Smart City Gnosys
Smart city article details
| Title | Mobile Edge Computing In Internet Of Unmanned Things (Iout) |
|---|---|
| ID_Doc | 37280 |
| Authors | Slamnik-Kriještorac N.; Marquez-Barja J.M. |
| Year | 2023 |
| Published | Internet of Things, Part F1241 |
| DOI | http://dx.doi.org/10.1007/978-3-031-33494-8_4 |
| Abstract | This chapter describes the promising role of mobile edge computing or multi-access edge computing (MEC) in enhancing the operations of various applications that fall under the umbrella of the Internet of Unmanned Things (IoUT). The value that MEC systems bring to 5G and beyond networks is unprecedented, and as such, it is extensively studied and recognized by both industry and academia, due to the opportunities to dynamically create means for deploying services in close proximity from the mobile end users, through the optimal deployment of edge servers that offer both computing and communication capabilities with enhanced quality of service (QoS) and quality of experience (QoE). Although MEC enables a significant reduction of end-to-end latency, and optimal utilization of bandwidth compared to traditional cloud computing deployments, maintaining service continuity for mobile users still requires complex management and orchestration systems to coordinate the deployment and operation of services on different MEC servers that are placed on the fixed locations. Thus, blending the concepts of MEC with unmanned aerial vehicles (UAVs) is expected to play an essential role in mitigating the aforementioned challenge, thereby achieving ubiquitous connectivity for mobile users. Leveraging on their flexibility and mobility, UAVs can be efficiently spawned at critical locations to boost wireless communication for various applications. The MEC-enhanced IoUT application domains covered in this chapter aim to enable scalability for boosting the operations in smart cities, through studying the advanced architectures, benefits, and challenges, for various use cases such as disaster management, intelligent healthcare, intelligent traffic, smart education, among the others. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | ETSI MEC; IoUT; Mobile edge computing; UAVs |
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