Mobility models for systems evaluation

Middleware for Network Eccentric and Mobile Applications

Volumn , Issue , 2009, Pages 43-62

  Musolesi, Mirco ^a   Mascolo, Cecilia ^b  

^a DARTMOUTH COLLEGE   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

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EID: 84892021946     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-89707-1_3     Document Type: Chapter

References (8)

1. We define contact duration as the time interval during which two devices are in radio range. We define inter-contacts time as the time interval between two contacts. These indicators are particularly important in ad hoc networking and, in particular, in delay tolerant mobile ad hoc networks [605, 359], since inter-contacts times define the frequency and the probability of being in contact with the recipient of a message or a potential message carrier in a given time period.
2. -k with k ≥ 0. A power-law distribution is also called scale-free since it remains unchanged to within a multiplicative factor under a re-scaling of the independent variable x [620].
3. As discussed in the introduction, this position has been disputed in [442]. We will present more details about this current discussion in the community in Sect. 3.4.
4. These mobility models can also be used to test other types of networks. Within the emerging field of sensor networks, mobile hosts are not necessarily carried directly by humans. However, sensor networks are usually embedded in artifacts and vehicles (such as cars, planes or clothing) or are spread across a geographical area (such as environmental sensors). In the former case, the movements of the sensors embedded in cars or in airplanes, for instance, are not random but are dependent on the movements of the carriers; in the latter, movement is not generally a major issue.
5. This model can be considered an evolution of the basic model initially proposed in [604].
6. A non random association to the particular areas of the simulation area can be devised, for example by deciding pre-defined areas of interest corresponding for instance to real geographical space. However, this aspect is orthogonal to the mechanisms at the basis of this model.
7. This is usually the case of hosts characterized by a relatively high betweenness that, by definition, means that they are located between two (or more) communities.
8. p,qi ) as probability of transitions between states (squares).