Title
A Self-Organized Clustering for Transmission Power Control Adapting to Change of Node Density in MANETs
Abstract
Assurance network technologies, which can make their own performance stable when various network complexities exists in the network, have been proposed to realize trustable terminal/infrastructure service applications. So far, autonomous clustering and hierarchical routing protocol Hi-AODV, to which the assurance network technologies are applied, have been also proposed as efficient network management methods for dynamic change of the number of nodes in MANETs. However, these methods do not have capability for adapting to frequent change of distribution of nodes. When distribution of nodes in a network changes, it is considered that dense and sparse areas may occur in the network as time proceeds. In particular, nodes in the dense area induce radio wave interference because each node usually communicates with other nodes using constant transmission power. Moreover, radio wave interference may induce increase of packet loss and energy consumption. In this paper, we propose high assurance autonomous clustering and Hi-AODV by incorporating the self-organized transmission power control function into the original autonomous clustering and Hi-AODV. Therefore, the high assurance autonomous clustering and Hi-AODV have capability for adapting to frequent change of node density in MANETs. We also have evaluate the proposed methods through simulation experiments.
Year
DOI
Venue
2013
10.1109/CANDAR.2013.80
CANDAR
Keywords
Field
DocType
autonomous clustering,assurance network technology,original autonomous clustering,high assurance,various network complexity,dynamic change,efficient network management method,radio wave interference,transmission power control,node density,self-organized clustering,frequent change,network change,mobile ad hoc networks,power control,routing protocols
Mobile ad hoc network,Computer science,Power control,Computer network,Packet loss,Hierarchical network model,Network management,Cluster analysis,Energy consumption,Routing protocol
Conference
Citations 
PageRank 
References 
1
0.38
3
Authors
3
Name
Order
Citations
PageRank
Kenji Yui110.38
Shinji Inoue210915.99
Yoshiaki Kakuda3559106.85