Research on Stratified Multi-objective Optimization Algorithm in Wireless Networks

被引:0
|
作者
Tu Xionggang [1 ]
Chen Jun [1 ]
Zhang Changjiang [2 ]
机构
[1] Zhejiang Ind Polytech Coll, Sch Design & Arts, Shaoxing, Peoples R China
[2] Zhejiang Normal Univ, Coll Math Phys & Informat Engn, Jinhua, Peoples R China
关键词
Path discrete; constraints; objective function; network node; WSN;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Due to the cost, reliability and quality of communication equilibrium of the traditional FM radio network optimization algorithms during the construction, hierarchical multi-objective optimization algorithm is put forth. First, increasee FM wireless networks mobile node and select new-adding link waypoints' optimal vector set, then design a hierarchical optimization model, and then use hierarchical multi-objective optimization algorithm to solve the problems of VHF wireless networks. Finally, compared simulation experiment of stratified multi-objective optimization algorithm and Glid algorithm and violent search algorithm is conducted, and the experiment shows that: stratified multi-objective optimization algorithm is smaller than traditional optimization algorithms in areas such in the network nodes, the average communication jump and the average attenuation of communication after running 50 times, i.e. lower cost, better network reliability and communication quality.
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页码:161 / 172
页数:12
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