2010 IEEE Global Telecommunications Conference GLOBECOM 2010 2010
DOI: 10.1109/glocom.2010.5684165
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Statistical Broadcast Protocol Design for Unreliable Channels in Wireless Ad-Hoc Networks

Abstract: Broadcast is a critical component in ad-hoc wireless networks. This paper examines the effects that channel unreliability have on the performance of broadcasting protocols. We show that the distance method of statistical broadcast performs poorly under adverse channel conditions. We then describe how to design a version of the distance method that is tolerant of transmission errors by adjusting the statistical variable threshold according to the channel conditions. The resulting protocol is then compared with … Show more

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Cited by 23 publications
(11 citation statements)
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“…Our recommendation is to use JiST/SWANS in large simulations when it offers all the required models with the excepted data structures. For instance, JiST/SWANS has been intensively used in our group for statistical broadcast simulations [18] [19]. OMNEt++/INETMANET is a better alternative in other cases.…”
Section: Discussionmentioning
confidence: 99%
“…Our recommendation is to use JiST/SWANS in large simulations when it offers all the required models with the excepted data structures. For instance, JiST/SWANS has been intensively used in our group for statistical broadcast simulations [18] [19]. OMNEt++/INETMANET is a better alternative in other cases.…”
Section: Discussionmentioning
confidence: 99%
“…We described a method using the link between continuum percolation and wireless broadcast to make stochastic broadcast, a simple statistical protocol where each node make the decision to rebroadcast according to a random variable, adaptive to density in [12]. We give a channel-quality-adaptive version of distance in [13] and a version adaptive to node distribution pattern in [14]. Our study of the scalability characteristics of broadcast protocols is given in [15].…”
Section: A Related Workmentioning
confidence: 99%
“…We described a method using the link between continuum percolation and wireless broadcast to make stochastic broadcast, a simple statistical protocol where each node make the decision to rebroadcast according to a random variable, adaptive to density in [3]. We give a channel-quality-adaptive version of distance in [4] and a version adaptive to node distribution pattern in [5]. MHVB [6] and E-MHVB [7] are examples of practical VANET broadcast protocols that utilize the distance method in their forwarding node selection algorithm.…”
Section: A Related Workmentioning
confidence: 99%
“…In this work, we use Equation 1 to calculate D c in terms of the number of neighbors N . For a detailed discussion of finding such a threshold function, see [4] and [5].…”
Section: B Distancementioning
confidence: 99%