DocumentCode
481767
Title
Location Service Based on K-Hop Clustering Algorithm for Heterogeneous Ad Hoc Networks
Author
Jiangwei, Zhou ; Boqin, Feng
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Volume
1
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
660
Lastpage
666
Abstract
Many works has researched on homogeneous ad hoc networks. This paper is focused on heterogeneous ad hoc networks. In such networks, two types of nodes are discussed. One type is location server which provides location service, and the other type is general node. A location server can be an individual device or be attached to a host which has the capabilities of providing location service. A location server has the characteristic that it is stationary or moves at a very low speed during the whole task. Based on such networks, we combine location service with k-hop clustering algorithm to provide location service for general nodes. Location service messages between location servers and general nodes are all unicast packets, which avoids global broadcast like other location service. Moreover, location update messages are only triggered by the status change of a node. So the control overhead decreases dramatically on the condition that the quality of location service is guaranteed. Moreover, geographical forwarding is modified to appropriate new structure networks, which improves the network¿s performance considerably. The simulation results show that high mobility adaptation and good scalability are achieved.
Keywords
ad hoc networks; mobile radio; K-hop clustering algorithm; general node; geographical forwarding; heterogeneous ad hoc networks; location server; location service; unicast packets; Ad hoc networks; Clustering algorithms; Computational intelligence; Computer industry; Conferences; Large-scale systems; Mobile ad hoc networks; Network servers; Routing protocols; Scalability; Ad hoc network; K-hop clustering algorithm; Location Service; geographical forward;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.16
Filename
4756643
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