Cheng, R. , Sun, Y. , Liu, Y., Liang, Y.-C. and Imran, M. (2023) BIO-SD: a blockchain-empowered intelligent resource management for symbiotic devices. IEEE Transactions on Vehicular Technology, (doi: 10.1109/TVT.2023.3337659) (Early Online Publication)
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Abstract
Symbiotic communication (SC), exploiting the analogy of biological ecosystem to establish communication device ecosystems, can enable cooperative service/resource exchanges across heterogeneous devices thus realizing the complementarity among different communication resources. However, considering unstable wireless links, high network dynamics, and complex electromagnetic interference in such an ecosystem, it is difficult to perform service/resource exchanges without securing a trusted environment. Moreover, multi-dimensional service/resource exchange demanded by massive symbiotic devices (SDs) in the ecosystems exposes additional challenges for exchange decision-making. To deal with the above difficulties, in this paper, we propose a blockchain-empowered intelligent co evolution for symbiotic devices (BIO-SD). Specifically, to guarantee the trustworthiness of service/resource exchange and resist malicious attacks, a direct acyclic graph (DAG)-based blockchain architecture is applied to the BIO-SD scheme. Furthermore, a modified multi-agent deep deterministic policy gradient (MADDPG) approach is adopted to make service/resource exchange decisions under this trusted environment. The simulation results show that the proposed BIO-SD scheme outperforms some conventional solutions in terms of transmission rate and transmission latency under both non-attack and malicious attack scenarios.
| Item Type: | Articles |
|---|---|
| Keywords: | Symbiotic device, blockchain, intelligent resource management. |
| Status: | Early Online Publication |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad and Sun, Dr Yao and CHENG, RUNZE |
| Authors: | Cheng, R., Sun, Y., Liu, Y., Liang, Y.-C., and Imran, M. |
| College/School: | College of Science and Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Journal Name: | IEEE Transactions on Vehicular Technology |
| Publisher: | IEEE |
| ISSN: | 0018-9545 |
| ISSN (Online): | 1939-9359 |
| Published Online: | 29 November 2023 |
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