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Published byJeffery Watson Modified over 8 years ago
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Review paper report Reviewed by Chun-Fu Lin
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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
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Before reading What is P.d.f?
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What is Nakagami-m distribution?
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[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
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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
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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
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“ Connectivity of wireless sensor network in fading channels ” Authors: Ruifen Zhang, Jean-Marie Gorce
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System Model Graph Model Connectivity Model Compares to [10], P(iso)? ≤
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? Is it consistent to Poisson distribution?
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?Not define [16] Compares to
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?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
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Definition of Nakagami-m distribution in [16] If author define It should be m-1?
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[10] Mean node degree Radio link [16] Can ’ t find in [16]
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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
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Is increasing of node density related to Increasing of fading effect?
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?
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Mean node degree vs. normalized node density
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Unreliable links vs. switch links
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Mean node degree vs. fading channels
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Connectivity under block-fading Probability is 1?
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Comment?
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