Evaluation of Cognitive Wireless Networks in Rural Area for Disaster Information Network
Wireless network is one of useful methods for Disaster Information Network, because it is easy to recover the reconfiguration of network topology and strong for disaster such as earthquake. However conventional wireless network consisted of single wireless interface has some problems such as the lim...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng ; jpn |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Wireless network is one of useful methods for Disaster Information Network, because it is easy to recover the reconfiguration of network topology and strong for disaster such as earthquake. However conventional wireless network consisted of single wireless interface has some problems such as the limitation of transmission distance or throughput because of their characteristics of radio frequency. Moreover, since user demands under emergent situation are changing through time, QoS of Disaster Information Network needs to consider such as emergent user policy. Cognitive Wireless Network consisted of multiple wireless interfaces and multiple wireless routes is considered as one of the powerful technologies to solve the problems as the previous. Therefore we have studied the transmission control methods of Cognitive Wireless Network in Disaster Information Network considering with wireless network conditions and user policy. In our proposal methods, Extend AHP is used for the optimal wireless link selection with wireless network conditions and user policy, and Extend AODV with Min-Max AHP values is applied for the optimal wireless route selection. In this paper, our proposal methods is evaluated by the simulation of rural area of Disaster Information Network, and the results of the experimentation is reported. In the simulation, ns2 is used to verify the effectiveness of the suggested transmission methods in Cognitive Wireless Network. The results showed our proposal methods make better network conditions in Disaster Information Network in rural area. |
---|---|
DOI: | 10.1109/ICCSA.2011.70 |