Joint Optimization of Task Offloading and Resource Allocation based on Edge-terminal Collaboration

• Published in: 2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) pp. 1 - 6
• Main Authors: Bai, Jingjing, Liu, Xu, Zhu, Xiaorong, Wu, Yiming
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.08.2023
• Subjects: Approximation algorithms; Collaboration; edge-terminal collaboration; Internet of Things; Protocols; resource allocation; Resource management; SCC; Sensors; Simulation; task offloading
• ISSN: 2474-9141
• DOI: 10.1109/ICCCWorkshops57813.2023.10233834

With the development of the Internet of Things (IoT), the number of mobile terminals with sensing, communication and computing (SCC) capabilities has exploded. Mobile terminals sense the task data from physical environment through cameras, sensors, etc. Then process the generated task by local computing or offloading to the edge computing node, So that the mobile terminal can make better decisions in the next time slot. In this paper, a joint optimization algorithm of task offloading and sensing-communication-computing resource allocation based on edge-terminal collaboration is proposed. Firstly, a "sensing-then-processing" protocol is adopted to coordinate the data sensing, communication and computing. A joint optimization problem of joint task offloading and resource allocation is presented for maximizing the amount of data processed by the system. Then the non-convex optimization problem is transformed into a tractable convex approximation problem, and the suboptimal solution is obtained based on a successive convex approximation (SCA) algorithm. Finally, simulation results show that proposed algorithm can effectively improve the system processing capability.