Research On Channel Allocation Algorithm In Wearable Wireless Sensor Networks

With the development of Sensor Network Wireless communication and other technologies,as an important part of the Internet of Things,Wearable Wireless Sensor Networks(WWSNs)are widely used in many fields such as medical treatment,entertainment,military and so on,which has a good prospect for development.Under the constraint of limited energy and channel resources,how to reasonably allocate channel resources to reduce network interference and energy consumption,improve channel resource utilization and communication reliability has become a research hotspot of WWSNs.Although the research on channel allocation in general wireless networks has been very mature,the research on channel allocation in wearable wireless sensor networks still faces such problems as node energy limitation,uneven resource distribution and network interference.Therefore,based on IEEE802.15.6 standard,this thesis studies and analyzes the shortcomings of the channel allocation scheme in the current WWSNs and carries out the following researches.Firstly,in order to solve the problem of single channel allocation in WWSNs,considering the heterogeneity of nodes,a channel slot allocation scheme based on particle swarm optimization is designed.As the nodes in WWSNs are energy limited,this thesis introduces the energy acquisition technology to provide a continuous supply of energy for the sensor nodes through the collection of external energy.At the same time,in order to optimize the transmission power of nodes and reduce the overall energy consumption of WWSNs,a network power optimal model is established.Based on this model,a channel slot sharing scheme based on particle swarm optimization is proposed by using the concept of slot sharing.Simulation results show that the channel allocation scheme proposed in this thesis overcomes the problem of low slot utilization in the traditional slot allocation scheme,and has good performance in both energy consumption and channel utilization.Secondly,for the multi-channel allocation problem of WWSNs,a channel allocation scheme based on improved multi-objective differential evolution algorithm is designed,which takes network capacity and node energy consumption as optimization objectives,takes link interference as constraint condition,and uses Pareto optimal solution set to achieve multi-objective optimization,so as to meet the requirements of different communication environments.Through simulation experiments,the effectiveness of the channel allocation scheme of the improved multi-objective differential evolution algorithm is verified,and the optimal variation factor and crossover probability are found.The simulation results show that the proposed algorithm can effectively balance interference compared with the standard differential evolution algorithm.