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

摘要

Due to the limited resource and vulnerability in wireless sensor networks, maximizing the network lifetime and improvingudnetwork survivability have become the top priority problem in network topology optimization. This article presentsuda wireless sensor networks topology optimization model based on complex network theory and cyber-physical systemsudusing software-defined wireless sensor network architecture. The multiple-factor-driven virtual force field and networkuddivision–oriented particle swarm algorithm are introduced into the deployment strategy of super-node for the implementationudin wireless sensor networks topology initialization, which help to rationally allocate heterogeneous networkudresources and balance the energy consumption in wireless sensor networks. Furthermore, the preferential attachmentudscheme guided by corresponding priority of crucial sensors is added into scale-free structure for optimization in topologyudevolution process and for protection of vulnerable nodes in wireless sensor networks. Software-defined wirelessudsensor network–based functional architecture is adopted to optimize the network evolution rules and algorithm parametersudusing information cognition and flow-table configure mode. The theoretical analysis and experimental resultsuddemonstrate that the proposed wireless sensor networks topology optimization model possesses both the small-worldudeffect and the scale-free property, which can contribute to extend the lifetime of wireless sensor networks with energyudefficiency and improve the robustness of wireless sensor networks with structure invulnerability.