TY  - JOUR
AU  - Qiu, Chao
AU  - Yao, Haipeng
AU  - Jiang, Chunxiao
AU  - Guo, Song
AU  - Xu, Fangmin
TI  - Cloud Computing Assisted Blockchain-Enabled Internet of Things
JF  - IEEE TRANSACTIONS ON CLOUD COMPUTING
J2  - IEEE T CLOUD COMPUT
VL  - 10
PY  - 2022
IS  - 1
SP  - 247
EP  - 257
PG  - 11
SN  - 2168-7161
DO  - 10.1109/TCC.2019.2930259
UR  - https://m2.mtmt.hu/api/publication/33000626
ID  - 33000626
AB  - Recently, the term 'Internet of Things' (IoT) has garnered great attention. As a trusted, dependable, and decentralized approach, blockchain has already been used in IoT. However, the existing blockchain has a number of drawbacks that prevent it from being used as a generic platform for IoT. The nodes in IoT are heavily resource-limited, especially computing and networking resources. Unfortunately, they are necessary for the blockchain to solve complicated puzzles and propagate blocks. In this paper, we propose agent mining and cloud mining approaches to solve the above problem in the blockchain-enabled IoT. To be specific, miners act as mining agents for nodes in IoT, offload mining tasks to cloud computing servers, and use networking resources dynamically. Furthermore, in order to enhance the performance, the access selection of users, computing resources allocation, and networking resources allocation are formulated as a joint optimization problem. We then propose a dueling deep reinforcement learning approach to address this problem. Numerical results justify the effectiveness of our proposed scheme.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - L, Charabi
AU  - N, Gharb
AU  - J, Ben-Othman
AU  - L, Mokdad
TI  - Call Admission Control in Small Cell Networks with Retrials and Guard Channels
T2  - 59th IEEE Global Communications Conference, GLOBECOM 2016
PB  - IEEE Press
CY  - New York, New York
SN  - 1509013288
PB  - IEEE
PY  - 2016
PG  - 5
DO  - 10.1109/GLOCOM.2016.7841645
UR  - https://m2.mtmt.hu/api/publication/26371476
ID  - 26371476
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Sang-Seon, Byun
TI  - Optimized Spectrum Pooling by Inventory Model
JF  - Journal of the Korea Institute of Information and Communication Engineering
J2  - Journal of the Korea Institute of Information and Communication Engineering
VL  - 18
PY  - 2014
IS  - 11
SP  - 2664
EP  - 2669
SN  - 2234-4772
DO  - 10.6109/jkiice.2014.18.11.2664
UR  - https://m2.mtmt.hu/api/publication/24807823
ID  - 24807823
LA  - English
DB  - MTMT
ER  -