Title | ||
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On-Demand Multipath Routing Protocol with Preferential Path Selection Probabilities for MANET |
Abstract | ||
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We developed an Ad hoc On-demand Multipath Distance Vector protocol with Path Preferential Selection Probabilities (AODVM-PPSP) for a mobile ad hoc network(MANET). This protocol introduces a new method, in which each node deliberately selects one of the multipath routes to utilize. It adapts preference for the route with the least transmission delay time and node throughput. We examined our protocol under various network loads. We evaluated our protocol with Omnet simulator and the performance is compared with the conventional methods. We found that the multiple routes were efficiently selected and there by resulted in higher packet delivery ratio and lower routing packets. The simulation results show that our proposed protocol has the significant improvement over others. |
Year | DOI | Venue |
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2006 | 10.1109/AINA.2006.249 | AINA (2) |
Keywords | Field | DocType |
on-demand multipath routing protocol,various network load,distance vector protocol,conventional method,multipath route,path preferential selection probabilities,proposed protocol,preferential path selection probabilities,omnet simulator,higher packet delivery ratio,node throughput,lower routing packet,bandwidth,computer science,routing protocol,multipath routing,mobile computing,mobile ad hoc networks,manet,network topology,routing protocols,mobile ad hoc network,throughput,ad hoc networks,probability | Open Shortest Path First,Path vector protocol,Enhanced Interior Gateway Routing Protocol,Computer science,Computer network,Ad hoc wireless distribution service,Wireless Routing Protocol,Optimized Link State Routing Protocol,Zone Routing Protocol,Distributed computing,Routing protocol | Conference |
ISBN | Citations | PageRank |
0-7695-2466-4-02 | 5 | 0.58 |
References | Authors | |
4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fang Jing | 1 | 9 | 1.36 |
Raghuvel S. Bhuvaneswaran | 2 | 59 | 8.98 |
Yoshiaki Katayama | 3 | 226 | 40.42 |
Naohisa Takahashi | 4 | 123 | 27.99 |