Research On Energy Efficient Clustering Method In Wireless Sensor Networks Based On Whale Swarm Algorithm

Wireless Sensor Network(WSN)is a multi-hop self-organizing network system composed of a large number of sensors with information perception,computing and communication capabilities.It is widely used in military,industry fields.However,for most WSN scenarios,highly constrained energy is an important problem affecting the lifetime of WSN.Therefore,how to effectively improve the network energy consumption has become a research hotspot in the field of WSN.Energy efficient clustering method is one of the effective ways to improve WSN energy efficiency.Based on the analysis and summary of the research status at home and abroad,this paper studies the energy efficient Clustering optimization problem of WSN,in which Clustering problems include Cluster Head Selection and Cluster Formation problems.A model of WSN Cluster Head Selection problem is established for large-scale WSN.In view of the characteristics of the problem,an objective function considering cluster head residual energy,cluster head distribution uniformity and connectivity is proposed.The Whale Swarm Algorithm(WSA)is used to solve the problem,the WSA algorithm is improved in the aspects of individual coding,computing method of distance between different individuals and individual movement rules,and an efficient neighborhood search strategy is designed.Through example calculation and comparison,the performance of the Cluster Head Selection Algorithm is verified.A Clustering Method based on Cluster Head Selection Algorithm and Clustering Formation Algorithm is proposed.A model of WSN Clustering Formation problem is established for the large-scale WSN.In view of the characteristics of the problem,this paper proposes an objective function to improve network energy efficiency and balance node energy consumption.WSA is used to solve the problem,the WSA algorithm is improved in the aspects of individual coding,computing method of distance between different individuals and individual movement rules,and an efficient neighborhood search strategy is designed.Through simulation and comparison,the performance of the Clustering Method is verified.According to the Clustering method proposed in this paper,a WSN Clustering protocol is designed with the functions of network startup,information aggregation,clustering and routing,data acquisition and network recovery.The positioning and design purposes of the protocol are determined,the composition and function of the protocol are designed,and the whole clustering protocol is designed in detail,including routing table structure,protocol data structure and multiple protocol messages.Based on the Contiki/6LoWPAN platform,combined with the WSN clustering protocol proposed in this paper,a temperature and humidity wireless sensor network information system is designed.the positioning and design purposes of the temperature and humidity wireless sensor network information system is determined,and the structure and function composition of the temperature and humidity wireless sensor network system based on WSN clustering protocol are designed.The system is designed in detail from three aspects of equipment selection,system function module and system work flow.An actual data transmission experiment proves that the system is effective and has good engineering application value.The work of this paper is summarized,and the future research direction is forecasted.