文献类型：期刊文献

英文题名：Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system

作者：Huang, Ru[1];Chu, Xiaoli[1,2];Zhang, Jie[1,2];Hu, Yu Hen[3]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Univ Sheffield, Dept Elect & Elect Engn, Sheffield, S Yorkshire, England;[3]Univ Wisconsin, Dept Elect & Comp Engn, 1415 Johnson Dr, Madison, WI 53706 USA

年份：2017

卷号：13

期号：6

起止页码：1

外文期刊名：INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

收录：;EI(收录号：20172703888586);WOS:【SCI-EXPANDED(收录号:WOS:000403256900001)】；

语种：英文

外文关键词：Software-defined wireless sensor network; scale-free network; topological optimization; super-nodes; cyber-physical systems

摘要：Due to the limited resource and vulnerability in wireless sensor networks, maximizing the network lifetime and improving network survivability have become the top priority problem in network topology optimization. This article presents a wireless sensor networks topology optimization model based on complex network theory and cyber-physical systems using software-defined wireless sensor network architecture. The multiple-factor-driven virtual force field and network division-oriented particle swarm algorithm are introduced into the deployment strategy of super-node for the implementation in wireless sensor networks topology initialization, which help to rationally allocate heterogeneous network resources and balance the energy consumption in wireless sensor networks. Furthermore, the preferential attachment scheme guided by corresponding priority of crucial sensors is added into scale-free structure for optimization in topology evolution process and for protection of vulnerable nodes in wireless sensor networks. Software-defined wireless sensor network-based functional architecture is adopted to optimize the network evolution rules and algorithm parameters using information cognition and flow-table configure mode. The theoretical analysis and experimental results demonstrate that the proposed wireless sensor networks topology optimization model possesses both the small-world effect and the scale-free property, which can contribute to extend the lifetime of wireless sensor networks with energy efficiency and improve the robustness of wireless sensor networks with structure invulnerability.