Invulnerability Optimization Method Of Wireless Sensor Networks Based On The Theory Of Scale-Free

The Wireless Sensor Networks are usually deployed in harsh environment where the energy is difficult to be supplied.The sensor nodes are very prone to failure due to several factors such as environmental hazards,energy depletion and device failure.The failure can affect the overall network lifetime and degrade the overall performance of the network,even affect the ability of the network to maintain essential services.Therefore,the energy efficiency and the invulnerability have become a key issue in the design of WSNs topology.Since scalefree networks are robust against random failure without adding redundant links,and provide a reasonable model for us to construct a robust topology for WSNs.In addition,there is deficiency in robustness of the scale-free networks against deliberate attack.In this paper,from the perspectives of the model of scale-free topology and the network topology optimization to improve the invulnerability of WSNs,make research work of the following aspects.(1)With consideration of the “hotspot” problem(Energy consumption of the network is not balanced and fast)in WSNs,a novel evolution model added into weighted constrain mechanism to form a load-aware and energy-aware local world(LAEAL)model,which is driven by topological characteristics and load(weight).And node locality,node saturation,residual energy and node load are considered in the processes of preferential attachment,which can organize the network in an energy-efficient way and balance the weight distribution among nodes.Simulations reveal that this model can achieve better performance on the load balancing and the network connectivity,improving the network invulnerability effectively.(2)Based on the problem which the scale-free topology in WSNs has the vulnerability of the deliberate attacks,and an invulnerability optimization model of the Poisson-growth scalefree topology based on the attractiveness function is proposed.The optimization topology construction is divided into two phases.In the first phase,a scaling exponent adjustable evolution model is proposed,which has the ability to change the power-law scaling exponent within [3,(10)?(8)by adjusting its parameters.In the second phase,the endurable probability and the topology structure entropy are introduced to make quantitative measure the topological invulnerability.Through formulating and solving the multi-goals mathematic optimization model,the optimal parameter of the PSFBRA scale-free model is derived.Simulations reveal that the optimization model maintains the fault tolerance of scale-free network under random failures,and maximizes the network invulnerability under intentional attacks and effectively enhances the invulnerability for WSNs under various attack strategies.