CAJ | 학술논문

将改进的遗传算法运用到无线传感器网络节点最优覆盖问题上，通过设置合理的接入访问点位置，可以实现网络有效覆盖率的最大化，并有效避免小区间的同频干扰。基于遗传算法以网络有效覆盖率为优化目标，改进了遗传算法中的交叉和变异策略。实验表明，改进的遗传算法可有效提高网络的覆盖率，实现了网铬性能优化。
장개진적유전산법운용도무선전감기망락절점최우복개문제상，통과설치합리적접입방문점위치，가이실현망락유효복개솔적최대화，병유효피면소구간적동빈간우。기우유전산법이망락유효복개솔위우화목표，개진료유전산법중적교차화변이책략。실험표명，개진적유전산법가유효제고망락적복개솔，실현료망락성능우화。
This paper propose a modified genetic algorithm which will be applied to wireless sensor nodes in wireless local area network optimal coverage issues. Algorithm by setting reasonable aecess to access point location, you can network effectively to maximize eoverage and to avoid inter-cell co-channel interference. Network based on genetic algorithm to optimize the effective coverage of the target, improved genetic algorithm crossover and mutation strategies. Experiments show that the proposed improved genetic algorithm can effectively improve the coverage of the network to achieve network performance optimization.