Comments on "Cooperative Density Estimation in Random Wireless Ad Hoc Networks"

Yongchang Hu

Research output: Contribution to journalArticleScientificpeer-review


In Onur et al. ["Cooperative density estimation in random wireless ad hoc networks," IEEE Commun. Lett., vol. 16, no. 3, 269 pp. 331-333, Mar. 2012], two novel density estimation (DE) approaches in wireless random networks were introduced by Onur et al., which are carried out respectively in cooperative and individual fashions. Both of them were derived via the maximum likelihood (ML) method. However, an implicit but fatal error was made obtaining the individual DE (I-DE) approach. This letter comments on Onur et al. and points out the aforementioned error. By investigating the distance order statistics (DOS) distributions in the random networks, the correct I-DE approach is presented and discussed. Simulation results also show that the correct I-DE outperforms the wrong one. More importantly, a new method that can obtain any univariate or multivariate DOS distribution is demonstrated, which is expected to be helpful for the study of the wireless communications and networking.

Original languageEnglish
Article number7449014
Pages (from-to)832-835
Number of pages4
JournalIEEE Communications Letters
Issue number4
Publication statusPublished - 7 Apr 2016


  • density estimation
  • distance order statistics (DOSs)
  • maximum likelihood estimation
  • Random networks


Dive into the research topics of 'Comments on "Cooperative Density Estimation in Random Wireless Ad Hoc Networks"'. Together they form a unique fingerprint.

Cite this