Name
Abstract | ||
|---|---|---|
Group mobility is prevalent in many MANET applications, such as disaster recovery, military actions, etc., and group partitions are unavoidable under such dynamic network. Group partitioning may result in frequent link disconnections, which hence affects the inter-group communication. In this paper, we introduce a framework for predicting potential group partitions in MANETs such that remedial actions can be taken in advance. The Weighted Linear Prediction model is proposed in our work which is based on the linear displacement of a group instead of its instant velocity. The concept of safe distance is discussed and it is used in predicting the partition time of adjacent groups. The experiment shows that the prediction model displays its efficiency in prediction of group partitions. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WCNC.2009.4917572 | WCNC |
Keywords | Field | DocType |
group partition,efficient group partition prediction,dynamic network,weighted linear prediction model,manet application,group mobility,adjacent group,potential group partition,disaster recovery,group partitioning,prediction model,predictive models,group communication,accuracy,ad hoc networks,mathematical model,displays,mobile computing,history,mobile ad hoc networks,prediction algorithms | Mobile ad hoc network,Mobile computing,Dynamic network analysis,Mobile radio,Linear prediction model,Computer science,Computer network,Theoretical computer science,Wireless ad hoc network,Partition (number theory),Distributed computing,Disaster recovery | Conference |
Citations | PageRank | References |
3 | 0.49 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Zhang | 1 | 42 | 3.72 |
| Chor Ping Low | 2 | 310 | 27.56 |
| Jim Mee Ng | 3 | 119 | 9.40 |
| Ting Wang | 4 | 725 | 120.28 |