Research Article
A Bio-inspired Smart Access Algorithm for Large Scale Self-organizing Wireless Networks
@INPROCEEDINGS{10.1007/978-3-030-69072-4_50, author={Enfu Jia and Jiaming Cao and Xiaorong Zhu and Jinfeng Li}, title={A Bio-inspired Smart Access Algorithm for Large Scale Self-organizing Wireless Networks}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2021}, month={2}, keywords={Bio-inspired Stigmergy Self-organizing Large scale wireless networks}, doi={10.1007/978-3-030-69072-4_50} }- Enfu Jia
Jiaming Cao
Xiaorong Zhu
Jinfeng Li
Year: 2021
A Bio-inspired Smart Access Algorithm for Large Scale Self-organizing Wireless Networks
WISATS PART 2
Springer
DOI: 10.1007/978-3-030-69072-4_50
Abstract
Efficient wireless access of a large number of nodes is one important issue for large scale self-organizing wireless networks. In order to achieve this goal, collision problem between nodes must be resolved. Bio-inspired algorithms provide some significant characteristics such as stability, adaptability, and scalability, and hence many researchers have attempted to apply bio-inspired algorithms to solve some problems in networks. In this paper, we propose a smart access algorithm for large scale self-organizing wireless networks, which is inspired by Stigmergy, which is able to make group members implement information interaction symmetry in some ways, and members are able to influence and interact with each other to avoid collision. Then we build an analysis model based on Markov chain for the proposed algorithm. Simulation results show that the proposed algorithm can maintain a low collision probability with the increasing number of competing nodes even in a dynamically changing network topology. In addition, the results show that compared with traditional algorithms, the proposed algorithm has better performances on channel throughput and access delay.
