CAJ | 학술논문

为了合理有效地管理和维护无线传感网络中的节点，提出基于混合粒子群算法的安全无线传感网分簇算法，基于网络的安全性和节点的信任度问题，在分析粒子群优化算法的基础上，引入局部最优解对最优解搜索过程的影响。在适应度函数中，该方法将节点剩余能量、与其他节点的连接性能以及安全信任度作为主要评价指标，把粒子群算法多次迭代得到的适应度值最高的节点作为簇首节点。通过实验对比了该算法与LEACH 和MCBMC算法对节点生命周期的影响。结果表明，在不同恶意节点数量和不同节点密度的情况下，该算法能使无线传感网络具有较长的生命周期。
위료합리유효지관리화유호무선전감망락중적절점，제출기우혼합입자군산법적안전무선전감망분족산법，기우망락적안전성화절점적신임도문제，재분석입자군우화산법적기출상，인입국부최우해대최우해수색과정적영향。재괄응도함수중，해방법장절점잉여능량、여기타절점적련접성능이급안전신임도작위주요평개지표，파입자군산법다차질대득도적괄응도치최고적절점작위족수절점。통과실험대비료해산법여LEACH 화MCBMC산법대절점생명주기적영향。결과표명，재불동악의절점수량화불동절점밀도적정황하，해산법능사무선전감망락구유교장적생명주기。
To manage and maintain nodes in wireless sensor network effectively,the nodes need to be divid-ed into clusters.Currently the existing clustering methods mostly ignore the network security and trust is-sues.Taking the network security and trust issues into consideration,a new secure clustering method was proposed based on Global and Local hybrid PSO algorithm (GLPSO),and the particle swarm optimization (PSO)algorithm analyzed with the local optimal solution.The node's residual energy,connection perform-ance and confidence were mainly applied in the fitness function.After several iterations in GLPSO algo-rithm,the node with the highest fitness value was selected as the cluster head node.In the experiments, the life span of the whole network was evaluated to compare this method with LEACH and MCBMC.The results show that the method has good performance on energy consumption and safety.