Title: Optimisation method of hierarchical heterogeneous clustering topology based on energy iteration
Authors: Yong Li
Addresses: Chongqing Technology and Business Institute, Chongqing, 401520, China
Abstract: In order to effectively optimise the network energy balance and prolong the network life, this paper proposes a topological structure optimisation algorithm based on energy iteration. Based on Hadoop distributed structure and crawler technology, a network vulnerability detection system is constructed to realise network vulnerability scanning and network structure preliminary detection. The idea of energy iteration is introduced to realise heterogeneous cluster routing and network topology optimisation. By reducing the energy of the iteration process, considering the energy consumption speed of the node and the distance between the node and the sink node, the optimal cluster head is selected. When clustering, the distance between nodes to sink nodes and the density of nodes are comprehensively considered to achieve nonuniform clustering of network nodes and optimise network clustering and network topology. The experimental results show that the optimised algorithm has good energy balance and reliability.
Keywords: energy iteration; heterogeneous clustering; topological structure optimisation algorithm; Hadoop distributed structure; crawler technology; network vulnerability detection system.
International Journal of Autonomous and Adaptive Communications Systems, 2022 Vol.15 No.2, pp.140 - 153
Received: 05 Dec 2019
Accepted: 23 Apr 2020
Published online: 21 Jun 2022 *