典型文献
WSN Node Coverage Optimization Algorithm Based on Global and Neighborhood Difference DE
文献摘要：
Wireless sensor networks are widely used in today's fields,such as scientific research,industry and agriculture.However,due to the influence of its geographical location and the problems of low cover-age and waste of resources caused by random place-ment,it is very important to adopt appropriate strate-gies to improve its coverage.To this end,an im-proved GND-DE(Global and Neighborhood Differ-ence Guided DE)algorithm is proposed.This algo-rithm uses both the global topology structure and the neighborhood topology structure,combined with the evaluation of contemporary optimization results,and selects the results from the two topology structures.The value-dominant individual,the individual to be evolved and the two dominant individuals calculate the difference operator corresponding to the two topolog-ical structures;a diversity neighborhood topology is proposed for the creation of the neighborhood topol-ogy;at the same time,the algorithm step size factor F is adaptively adjusted and the JADE external archive mutation strategy is introduced to eliminate the possi-bility of algorithm search stagnation.In order to ver-ify the effectiveness of its improved algorithm,com-pared with other mainstream improved algorithms on the CEC2017 test set,it shows that its optimization ef-ficiency and convergence are better than other compar-ison algorithms;finally,GND-DE is applied to WSN node coverage optimization,which proves the feasi-bility of its optimization strategy.
文献关键词：
中图分类号：
作者姓名：
Yi Wang;Yubo Peng;Li Chen;Yanzhong Duan;Jing Li
作者机构：
School of Information Science and Technology,Northwestern University,Xi'an,Shaanxi 710127,China
文献出处：
引用格式：
[1]Yi Wang;Yubo Peng;Li Chen;Yanzhong Duan;Jing Li-.WSN Node Coverage Optimization Algorithm Based on Global and Neighborhood Difference DE)[J].中国通信（英文版）,2022(03):215-229
A类：
topol
B类：
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AB值：
0.54327
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