Abstract
The explosion of heterogeneous devices needs an extended version of edge network. Physical factor, such as time delay and energy cost, is usually used to facilitate resource sensing and neighbor nodes’ networking. In fact, other factors from multiple domains may seriously affect the resource selection and edge network extension. Thus, this paper uses multi-domains fusion connect more nodes from multiple domains and expand edge network. In the proposed edge network model, nodes can thus be selected and combined from a single domain to multi-domains. Moreover, low earth orbit (LEO) satellite can act as a relay node providing excess connection for different domains, and further expands the edge network. To formulate the domains fusion, a two-dimensional matrix is used for each domain. The abscissa and ordinate of the matrix exactly correspond to the tasks and nodes of the offloading process in one domain. Finally, the edge network matrix (selected matrix) can be expanded (increasing of non-zero elements) after the fusion operation. Our analysis and numerical results demonstrate that multi-domains fusion and cooperating with LEO effectively extend the edge network with about 9%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Global mobile data traffic forecast update, 2017 c 2022 white paper, Cisco Visual Networking Index, pp. 1–33 (2019)
Lee, S., Cheon, H., Kang, S., Kim, J.: Novel LIPA/SIPTO offloading algorithm according to the network utilization and offloading preference. In: 2014 International Conference on Information and Communication Technology Convergence (ICTC), pp. 314–318 (2014)
Chen, M., Hao, Y.: Task offloading for mobile edge computing in software defined ultra-dense network. IEEE J. Sel. Areas Commun. 36(3), 587–597 (2018)
Zhang, Y., He, J., Guo, S.: Energy-efficient dynamic task offloading for energy harvesting mobile cloud computing. In: 2018 IEEE International Conference on Networking, Architecture and Storage (NAS), pp. 1–4 (2018)
Boukerche, A., Guan, S., De Grande, R.E.: A task centric mobile cloud-based system to enable energy aware efficient offloading. IEEE Trans. Sustain. Comput. 3(4), 248–261 (2018)
Kong, Y., Zhang, Y., Wang, Y., Chen, H., Hei, X.: Energy saving strategy for task migration based on genetic algorithm. In: 2018 Inter-national Conference on Networking and Network Applications (NaNA), pp. 330–336 (2018)
Zhang, W., Tan, S., Lu, Q., Liu, X.: Towards a genetic algorithm-based approach for task migrations. In: 2014 International Conference on Identification, Information and Knowledge in the Internet of Things, pp. 182–187 (2014)
Zhu, L., Wang, W. Zhang, Y., Tan, S.: CPN based validation on pervasive cloud task migration. In: 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing and 2015 IEEE 12th International Conference on Autonomic and Trusted Computing and 2015 IEEE 15th International Conference on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-Scal Com), pp. 986–990 (2015)
Vishnu, K.S., Apoorva, T., Gupta, D.: Learning domain specific and domain independent opinion-oriented lexicons using multiple domain knowledge. In: 2014 Seventh International Conference on Contemporary Computing (IC3), Noida, pp. 318–323 (2014). https://doi.org/10.1109/IC3.2014.6897193
Costanzo, A., Faro, A., Giordano, D.: Implementing Cyber Physical social Systems for smart cities: A semantic web perspective. IEEE, Las Vegas (2016)
Acknowledgement
This work is supported by Guangdong Province Basic and Applied Basic Research Fund (Grant No. 2019A1515111086) and the Fundamental Research Funds for the Central Universities (Grant No. FRF-BD-20-11A).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ren, C., Hou, J. (2021). Edge Network Extension Based on Multi-domains Fusion and LEO Satellite. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_50
Download citation
DOI: https://doi.org/10.1007/978-3-030-67514-1_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67513-4
Online ISBN: 978-3-030-67514-1
eBook Packages: Computer ScienceComputer Science (R0)