Changing Trends in Modeling Mobility
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 patter...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/372572 |
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| _version_ | 1832567385149669376 |
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| author | Aarti Munjal Tracy Camp Nils Aschenbruck |
| author_facet | Aarti Munjal Tracy Camp Nils Aschenbruck |
| author_sort | Aarti Munjal |
| collection | DOAJ |
| description | 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 in modeling 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. |
| format | Article |
| id | doaj-art-8c96961f07094930a8604b994867e37b |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-8c96961f07094930a8604b994867e37b2025-02-03T01:01:35ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/372572372572Changing Trends in Modeling MobilityAarti Munjal0Tracy Camp1Nils Aschenbruck2Department of EECS, Colorado School of Mines, Golden, CO 80401, USADepartment of EECS, Colorado School of Mines, Golden, CO 80401, USAInstitute of Computer Science, University of Osnabrück, 49076 Osnabrück, GermanyA 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 in modeling 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.http://dx.doi.org/10.1155/2012/372572 |
| spellingShingle | Aarti Munjal Tracy Camp Nils Aschenbruck Changing Trends in Modeling Mobility Journal of Electrical and Computer Engineering |
| title | Changing Trends in Modeling Mobility |
| title_full | Changing Trends in Modeling Mobility |
| title_fullStr | Changing Trends in Modeling Mobility |
| title_full_unstemmed | Changing Trends in Modeling Mobility |
| title_short | Changing Trends in Modeling Mobility |
| title_sort | changing trends in modeling mobility |
| url | http://dx.doi.org/10.1155/2012/372572 |
| work_keys_str_mv | AT aartimunjal changingtrendsinmodelingmobility AT tracycamp changingtrendsinmodelingmobility AT nilsaschenbruck changingtrendsinmodelingmobility |