• Title/Summary/Keyword: 다중 레이어 토폴로지

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Development of Hybrid Spatial Information Model for National Base Map (국가기본도용 Hybrid 공간정보 모델 개발)

  • Hwang, Jin Sang;Yun, Hong Sik;Yoo, Jae Yong;Cho, Seong Hwan;Kang, Seong Chan
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.4_1
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    • pp.335-341
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    • 2014
  • The main goal of this study is on developing a proper brand-new data of national base map and Data Based(DB) model for new information technology environments. To achieve this goal, we generated a brand-new Hybrid spatial information model which is specialized in the spatio-temporal map structure, the framework map for information integration, and the multiple-layered topology structure. The DB structure was designed to reflect the change of objections by adding a new dimension of 'time' in the spartial information, while the infrastructure was able to connect/converge with other information by giving the unique ID and multi-scale fusion map structure. Furthermore, the topology and multi visualization structure, including indoor and basement information, were designed to overcome limitations of expressing in 2 dimension map. The result from the performance test, which was based on the Hybrid spatial information model, confirms the possibility in advanced national base map and conducted DB model through implementing various information and spatiotemporal connections.

A Joint Topology Discovery and Routing Protocol for Self-Organizing Hierarchical Ad Hoc Networks (자율구성 계층구조 애드혹 네트워크를 위한 상호 연동방식의 토폴로지 탐색 및 라우팅 프로토콜)

  • Yang Seomin;Lee Hyukjoon
    • The KIPS Transactions:PartC
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    • v.11C no.7 s.96
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    • pp.905-916
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    • 2004
  • Self-organizing hierarchical ad hoc network (SOHAN) is a new ad-hoc network architecture designed to improve the scalability properties of conventional 'flat' ad hoc networks. This network architecture consists of three tiers of ad-hoc nodes, i.e.. access points, forwarding nodes and mobile nodes. This paper presents a topology discovery and routing protocol for the self-organization of SOHAN. We propose a cross-layer path metric based on link quality and MAC delay which plays a key role in producing an optimal cluster-based hierarchical topology with high throughput capacity. The topology discovery protocol provides the basis for routing which takes place in layer 2.5 using MAC addresses. The routing protocol is based on AODV with appropriate modifications to take advantage of the hierarchical topology and interact with the discovery protocol. Simulation results are presented which show the improved performance as well as scalability properties of SOHAN in terms of through-put capacity, end-to-end delay, packet delivery ratio and control overhead.