Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing 2006
DOI: 10.1145/1143549.1143659
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Mobility profile based routing within intermittently connected mobile ad hoc networks (ICMAN)

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Cited by 36 publications
(32 citation statements)
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“…The cost of inquiry is significant, considering the fact that recent cell phones such as LG chocolate and Motorola MOTOKRZR K1m are equipped with less than 900mAh battery. We propose a simple solution to reduce the frequency of inquiry by using the concept of sociological orbits [38]. Sociological orbits are probabilistic mobility models where nodes move between a set of hubs, e.g., subway stations or bus stops.…”
Section: Hci-hdrmentioning
confidence: 99%
“…The cost of inquiry is significant, considering the fact that recent cell phones such as LG chocolate and Motorola MOTOKRZR K1m are equipped with less than 900mAh battery. We propose a simple solution to reduce the frequency of inquiry by using the concept of sociological orbits [38]. Sociological orbits are probabilistic mobility models where nodes move between a set of hubs, e.g., subway stations or bus stops.…”
Section: Hci-hdrmentioning
confidence: 99%
“…Such mobility models include random waypoint(RWP), random walk(RW) and random direction(RD) [16]. It has been recently widely acknowledged that random-based mobility is unrealistic and that routing schemes are frequently discussed on sociologicallyorganized mobility models, which are studied in the context of buses [26], taxi [21], sociological orbit [11,12] and pedestrians [5]. Community-based mobility is also proposed by [23], but it is basically random direction mobility which hierarchically defined.…”
Section: Related Workmentioning
confidence: 99%
“…The prediction-based schemes (e.g SOLAR [16]) try to reduce message overhead and buffer contention through forwarding messages only to nodes with high delivery probability. However, due to the disconnected nature of the network, it may take a very long time before every node receives the delivery probabilities of other nodes.…”
Section: (Iii) Meeting the Destinations By Schedulementioning
confidence: 99%
“…(ii) Predicting good forwarders: The schemes in this type try to predict which nodes are useful for delivering the messages based on nodes' encounter history [11], [12], [13], nodes' context information [14] or nodes' location visiting patterns [15], [16].…”
mentioning
confidence: 99%