New Method of MSCA for Edge Computing
- Resource Type
- Conference
- Authors
- Zhang, De-gan; Zhu, Hao-li; Zhang, Ting; Wang, Jia-xu
- Source
- 2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Smart Internet of Things (SmartIoT), 2020 IEEE International Conference on. :51-57 Aug, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Edge computing
Interference
Computational modeling
Delays
Peer-to-peer computing
Channel allocation
Protocols
collision
wireless mesh network
channel allocation
multi-strategy
- Language
By innovative use of edge computing technology to construct a node data cache model and step-by-step calculation of node channel separation, a multi-strategy channel allocation algorithm (MSCA) for edge computing is proposed. The mechanism of this algorithm is to use edge computing technology to pre-store the data in the nodes in the multicast tree and calculate the channel separation between the nodes, and then select the transmission channel number of the node with the least interference to avoid mutual interference between node information transmissions. Through experimental tests and comparisons, the MSCA algorithm for edge computing presented in this paper can minimize channel interference and overall network energy consumption while satisfying throughput and end-to-end delay.