PROJECT TITLE :

Comments and Reply Comments on “Cooperative Density Estimation in Random Wireless Ad Hoc Networks”

ABSTRACT:

In Onur et al. [“Cooperative density estimation in random wireless impromptu networks,” IEEE Commun. Lett., vol. 16, no. three, 269 pp. 331–333, Mar. 2012], two novel density estimation (DE) approaches in wireless random networks were introduced by Onur et al., that are disbursed respectively in cooperative and individual fashions. Both of them were derived via the utmost probability (ML) methodology. But, an implicit however fatal error was created 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 right I-DE approach is presented and mentioned. Simulation results conjointly show that the correct I-DE outperforms the incorrect one. A lot of importantly, a brand new technique that can acquire any univariate or multivariate DOS distribution is demonstrated, that is predicted to be helpful for the study of the wireless communications and networking.