Research On Coverage Optimization For Wireless Sensor Networks

With the rapid development of wireless sensor networks(WSNs)and internet of things technology,large-scale two-layer topology WSNs becomes wide application.To resolve WSNs' coverage problems,the paper focuses on life issues,the link relationship between layers,and the whole transmission ability.Then the integrated working situation is arranged,the stability of topology structure is maintained,and the network lifetime is extended.And the coordinating method for satisfying the former needs is proposed from the coverage optimization of sensor layer,sink layer,and the integrated network.The main contributions of the paper can be summarized as follows:1.To resolve the coverage problem about energy-balancing in the sensor layer,a new redeployment algorithm based on virtual heat transfer is proposed.The power law entropy model is built for the absolute moving method with the relationship between sensing and sink node.And the entropy-balancing equation is established with the balanced relationship between neighbor sensors of power law entropy flow.The experimental results show that the proposed algorithm can attain balance of energy consumption,prevent energy-hole,and improve node coverage.2.To resolve the coverage problem in the sink layer,a new multi-objective sink nodes coverage algorithm based on quantum wolf pack evolution is proposed.Satisfying non-repeated coverage,connectedness,and energy balance of sink layer,the coverage problems are overall planed as a Multi-objective Optimization Problem.The proposed method obtains more accurate wolf's location.Simulation results show less redundant sink nodes,promote steadiness,and balance energy consumption effectively.3.To resolve the dynamical coverage quality improving problem in the two-layer WSNs,the system,with pretreatment,analysis,decision,and implement sub-sysetms,is proposed for coordination of coverage quality,which satisfies the demands for coverage range,effective energy,stable topology structure,and balanced link load.In the system,a redeployment scheduling mechanism with adsorptive selection is proposed to select the applicative coverage optimization algorithm.Simulation results show it can satisfy the demands and improve the transmission ability.