IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37 2003
DOI: 10.1109/infcom.2003.1208920
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IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks

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Cited by 757 publications
(535 citation statements)
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“…One of our goals was to verify if our proposed algorithm was able to reasonably adjust the T parameter under other mobility conditions. With this purpose, in addition to the well-known RWP, the analysis of the proposed algorithm uses other two mobility models: the Manhattan Mobility Model [14] and the Smooth Mobillity Model [15]. The mobility patterns employed are briefly described in the following sections and some properties of them are depicted in Fig.…”
Section: Mobility Patternsmentioning
confidence: 99%
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“…One of our goals was to verify if our proposed algorithm was able to reasonably adjust the T parameter under other mobility conditions. With this purpose, in addition to the well-known RWP, the analysis of the proposed algorithm uses other two mobility models: the Manhattan Mobility Model [14] and the Smooth Mobillity Model [15]. The mobility patterns employed are briefly described in the following sections and some properties of them are depicted in Fig.…”
Section: Mobility Patternsmentioning
confidence: 99%
“…The Manhattan model emulates the movement of automobiles on streets defined by a rectangular grid-type map [14]. It can be useful in modeling movement in an urban area where a pervasive computing service between portable devices is provided.…”
Section: Manhattan Mobility Model (Mh)mentioning
confidence: 99%
“…In our simulation, there are 300 nodes initially distributed in a unit square as in [6,7]. The parameter settings are listed in Table I.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…A number of less and more detailed and accuracy mobility models have been introduced, and adopted in the design and development of mobile ad hoc systems. The survey and discussion of the taxonomies of mobility models and main directions to mobility modeling are provided in [3] and [16]. Generally, the existing mobility models can be classified into two following categories, namely syntactic models: analytical random-motion model -a discrete implementation of Brownian-like motion with randomly generated destination point and velocity, and motion traces models that require the accurate information about mobility patters (i.e., positions of nodes in time).…”
Section: Introduction To Mobility Modelsmentioning
confidence: 99%
“…Bai et al [3] classify the mobility models based on their basic mobility characteristics into: random models, models with temporal dependency, models with spatial dependency and models with geographical restrictions. The alternative classification is proposed by Roy in [16].…”
Section: Introduction To Mobility Modelsmentioning
confidence: 99%