Topology design for contingency cellular network

碩士 === 國立政治大學 === 資訊科學學系 === 99 === When a catastrophic natural disaster occurs, the efficiency of disaster response operation is critical to life saving. However, communication systems, such as cellular networks, usually crashed due to various causes that make coordination difficult for many disorg...

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Bibliographic Details
Main Authors: Huang, Yu Chieh, 黃玉潔
Other Authors: Lien, Yao Nan
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/03273267377361046720
Description
Summary:碩士 === 國立政治大學 === 資訊科學學系 === 99 === When a catastrophic natural disaster occurs, the efficiency of disaster response operation is critical to life saving. However, communication systems, such as cellular networks, usually crashed due to various causes that make coordination difficult for many disorganized disaster response workers extremely. Unfortunately, rapid deployment of many existing emergency communication systems relies on a good transportation system, which is usually not available in a catastrophic natural disaster. We propose a Contingency Cellular Network (CCN) by connecting disconnected base stations together with wireless links and portable power generators. CCN can support existing mobile phone users with limited capability. Such a system can support a large number of voluntary workers in the early hours of a catastrophic natural disaster, thus saving many lives. Communication traffics, either voice or data, are forwarded hop-by-hop to the external network that remains operational. The efficiency and effeteness of CCN is obviously depends on the topology of such a forwarding network. This thesis addresses the design of forwarding topology aiming to maximize its efficiency. We take the degree of emergency degree of the damage, population of each stricken as the priority measure as well as the amount of emergency recovery resources as the constraint to determine the topology. We model the CCN topology design problem into a Depth Bounded K-Maximum Spanning Tree Problem. The problem is proven NP-hard and we designed an efficient heuristic algorithm (DBTB) to solve it. We also model CCN topology design problem into a Hop Concerned K-Maximum Spanning iii Tree Program and designed a HCTB algorithm to solve it. The simulation results show that DBTB algorithm can control tree depth effectively but HCTB can gain more profit.