Title
Changing Trends In Modeling Mobility
Abstract
A phenomenal increase in the number of wireless devices has led to the evolution of several interesting and challenging research problems in opportunistic networks. For example, the random waypoint mobility model, an early, popular effort to model mobility, involves generating random movement patterns. Previous research efforts, however, validate that movement patterns are not random; instead, human mobility is predictable to some extent. Since the performance of a routing protocol in an opportunistic network is greatly improved if the movement patterns of mobile users can be somewhat predicted in advance, several research attempts have been made to understand human mobility. The solutions developed use our understanding of movement patterns to predict the future contact probability for mobile nodes. In this work, we summarize the changing trends in modeling human mobility as random movements to the current research efforts that model human walks in a more predictable manner. Mobility patterns significantly affect the performance of a routing protocol. Thus, the changing trend inmodeling mobility has led to several changes in developing routing protocols for opportunistic networks. For example, the simplest opportunistic routing protocol forwards a received packet to a randomly selected neighbor. With predictable mobility, however, routing protocols can use the expected contact information between a pair of mobile nodes in making forwarding decisions. In this work, we also describe the previous and current research efforts in developing routing protocols for opportunistic networks.
Year
DOI
Venue
2012
10.1155/2012/372572
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
Field
DocType
Volume
Wireless,Computer science,Network packet,Computer network,Mobility model,Waypoint,Routing protocol
Journal
2012
ISSN
Citations 
PageRank 
2090-0147
6
0.47
References 
Authors
53
3
Name
Order
Citations
PageRank
Aarti Munjal1924.94
Tracy Camp2109475.91
Nils Aschenbruck355556.28