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A stochastic process model of the hop count distribution in wireless sensor networks
Beyme S., Leung C. Ad Hoc Networks17 60-70,2014.Type:Article
Date Reviewed: Jan 22 2015

In general, this is an appropriate paper with fine structures, methodologies, analyses, and detailed simulation on a proposed stochastic process model for the hop count distribution in wireless sensor networks (WSNs). The authors give a stochastic methodology to figure out the hop count broadcast between a source node and a sink node in WSNs.

This study is different from most solutions that exploit density aware or arbitrary node density to deal with the hop count distribution. However, the authors adopt a stochastic model to evaluate the position of the sensor node. Eventually, the authors formulate this model and prove the proposed methodology can achieve a compound Poisson distribution. Additionally, the experimental results indicate that the proposed method only produces a few errors.

This paper gives a different way to measure the hop count number in WSNs. I therefore believe it really gives readers a new field of vision.

Reviewer:  Hua-Yi Lin Review #: CR143103 (1505-0397)
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Sensor Networks (C.2.1 ... )
 
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