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dc.contributor.authorWu, KRen_US
dc.contributor.authorJan, RHen_US
dc.date.accessioned2014-12-08T15:01:24Z-
dc.date.available2014-12-08T15:01:24Z-
dc.date.issued1997-10-01en_US
dc.identifier.issn0916-8516en_US
dc.identifier.urihttp://hdl.handle.net/11536/258-
dc.description.abstractThis paper proposes the signaling network deployment for mobile networks with a goal of reducing the signaling cost and time to set up calls. In this deployment, we solve the heavy concentration of signaling traffic resulting from the centralized database used in current mobile networks. The solution exploits the features of the distributed databases, data partition, locality of mobile users, and Common Channel Signaling System No.7 (CCSS No.7) network architectures. We assume the area served by the mobile network is partitioned into a few zones. There is a database associated with each zone. A numbering database strategy is proposed in this paper for the mobiles to register at some specific nearby databases according to their mobile identification numbers. Thus, a calling party can directly locate the called party by the mobile identification number he/she dialed. This method can reduce over 95% of the location-updating cost and 70% of the location tracking cost under a general simulation model. We also present the implementation considerations of this strategy. This implementation is an enhancement of the routing function of the Signaling Connection Control Part in CCSS No.7 protocol stacks. With few modifications on current mobile networks, the proposed strategy can obtain very excellent results.en_US
dc.language.isoen_USen_US
dc.subjectdistributed databasesen_US
dc.subjectlocalityen_US
dc.subjectCommon Channel Signaling System No. 7en_US
dc.titleThe signaling network deployment for mobile networksen_US
dc.typeArticleen_US
dc.identifier.journalIEICE TRANSACTIONS ON COMMUNICATIONSen_US
dc.citation.volumeE80Ben_US
dc.citation.issue10en_US
dc.citation.spage1556en_US
dc.citation.epage1563en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
Appears in Collections:Articles