Affiliation:
1. School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130012, China
2. State Grid Jilin Electric Power Co., Ltd., Changchun Power Supply Company, Changchun 130012, China
3. State Grid Jilin Electric Power Co., Ltd., Tonghua Power Supply Company, Tonghua 134100, China
Abstract
With the continuous development of the power Internet of Things (PIoT), smart devices (SDs) have been widely used in electric power inspections. Due to the limited resources of intelligent inspection SDs and the distance of overhead transmission lines, many inspection tasks cannot be processed promptly. This paper proposes a multi-hop-based end-edge cooperative computing (MHCC) scheme to address inspection task processing in power IoT. We formulate a multi-hop task offloading problem that minimizes the energy consumption of inspection SDs with delay constraints. We develop a JDPSO algorithm to solve the multi-hop task offloading problem and evaluate the algorithm’s performance based on numerous simulation experiments. The experimental results show that JDPSO reduces the system’s energy consumption by 56.30%, 48.56%, 78.87%, 50.89%, 30.85%, and 68.31%, and also reduces delay by 50.69%, 42.78%, 58.67%, 44.84%, 10.22%, and 62.88% compared to GA, RSA, SSA, MFO, DOA, and ALC schemes.
Funder
Jilin Provincial Department of Science and Technology
Jilin Province Development and Reform Commission