Abstract
The sensor-cloud architecture rises the opportunity to overcome intrinsic shortages of wireless sensors, such as computing capacity, storage space and communication range. However, before realizing these complementary effects of cloud computing, there is a challenge of how to plan efficient routes for mobile sinks to gather distributedly sensed data to centralized computing resources on cloud, especially where practical environment limits the travelling range of mobile sinks. This paper models the route planning problem into multi-echelon vehicle routing problem, and formulates it into integer linear programming. To solve this problem, a GPU-based parallel algorithm is proposed. The experimental results verify the accuracy and efficiency of the algorithm.
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Acknowledgments
This work was supported in part by China Scholarship Council, the Fundamental Research Funds for the Central Universities of China under Grant No. 20720190028, National Key R&D Program of China under Grant No. 2017YFB0803002, National Natural Science Foundation of China under Grants No. 61672195, No. 61732022, No.61772154, and the Shenzhen Basic Research Program (Project No. JCYJ20190806143011274).
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Song, L., Chen, H., Huang, H., Du, H. (2021). Multi-echelon Vehicle Routing Problem in Sensor-Cloud Architecture with Mobile Sinks. In: Wang, G., Chen, B., Li, W., Di Pietro, R., Yan, X., Han, H. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2020. Lecture Notes in Computer Science(), vol 12383. Springer, Cham. https://doi.org/10.1007/978-3-030-68884-4_20
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