Review paper report Reviewed by Chun-Fu Lin

Brief summary The readability of this paper is quite low due to the author ’ s expression and writing in English. This paper uses the unreliable link model, which proposed by C. Bettstetter in 2005, that consider connection links in WSN with probability instead of 0/1. The authors claim that the novelty of this paper is the relaxation of the switched-link model by introducing “ mean node degree ” and “ normalized node density ”. Graph expression is not clear Some errors in this paper One or more formulations are confusing as comparing to the citation works. Marginal contribution

Before reading What is P.d.f?

What is Nakagami-m distribution?

[10] C. Bettstetter and C. Hartmann, “ Connectivity of wireless multihop networks in a shadow fading environment, ” Wireless Network,2005 where Node u and node v can communicated via link if the attenuation between them satisfied Consider shadow fading

Connectivity: The probability that none of nodes in area A is isolated, denoted by P(no node iso), is the upper bound of P(con) The number of node is described by

Deterministic r 0 -based model Shadow fading model Probability that a node has link to its kth nearest neighbor Neighbor distance Probability density function of the distance to kth neighbor r o : certain threshold distance

“ Connectivity of wireless sensor network in fading channels ” Authors: Ruifen Zhang, Jean-Marie Gorce

System Model Graph Model Connectivity Model Compares to [10], P(iso)? ≤

? Is it consistent to Poisson distribution?

?Not define [16] Compares to

?Can ’ t find similar in [16] [16] Zhengdao Wang, Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE, “ A Simple and General Parameterization Quantifying Performance in Fading Channels, ” IEEE TRANSACTIONS ON OMMUNICATIONS, VOL. 51, NO. 8, AUGUST 2003

Definition of Nakagami-m distribution in [16] If author define It should be m-1?

[10] Mean node degree Radio link [16] Can ’ t find in [16]

Simulation setup –Number of node follows Poisson distribution –All node are set to one configuration One transmission power Pr, distance, SNR, path loss coefficient, modulation. 4 simulations are conducted –Evaluate how node density impact mean node degree –Compare switch link model and unreliable link model –The relationship between Nakagami-m factor and attenuation coefficient –Connectivity

Is increasing of node density related to Increasing of fading effect?

?

Mean node degree vs. normalized node density

Unreliable links vs. switch links

Mean node degree vs. fading channels

Connectivity under block-fading Probability is 1?

Comment?