Name
Title | ||
|---|---|---|
Improved Shuffled Frog Leaping Algorithm And Its Application In Node Localization Of Wireless Sensor Networks |
Abstract | ||
|---|---|---|
To improve the unreasonable distribution of sensors' random deployment and increase network coverage rate, an optimization method of wireless sensor networks coverage based on improved shuffled frog leaping algorithm (ISFLA) was proposed in this paper. During the process of updating the frog, a novel learning strategy is introduced, in which the poor frog learns not only from the best frog of its own ethnic group, but also from the best frog of the population. In addition, a diversity factor is considered in updating the frog. Experimental results show that the algorithm yields better optimization coverage results. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1080/10798587.2012.10643290 | INTELLIGENT AUTOMATION AND SOFT COMPUTING |
Keywords | Field | DocType |
shuffled frog leaping algorithm, wireless sensor networks, node localization | Diversity factor,Population,Computer science,Artificial intelligence,Wireless sensor network,Machine learning,Shuffled frog leaping algorithm | Journal |
Volume | Issue | ISSN |
18 | 7 | 1079-8587 |
Citations | PageRank | References |
6 | 0.53 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tanghuai Fan | 1 | 6 | 0.53 |
| Li Lü | 2 | 6 | 0.53 |
| Jia Zhao | 3 | 13 | 2.43 |