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Coupling Analysis of Disaster Bearing Capacity of Urban Lifeline System Based on Brittleness Entropy 被引量:1
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作者 Wei Huang Xinnan Zhang +2 位作者 chenmin li Fengzhou Wang Zhenli Ma 《Computational Water, Energy, and Environmental Engineering》 2014年第3期119-127,共9页
Urban or regional disaster bearing capacity mainly depends on the disaster bearing capacity of lifeline systems. In the analysis of disaster bearing capacity evaluation of lifeline system, we should not only investiga... Urban or regional disaster bearing capacity mainly depends on the disaster bearing capacity of lifeline systems. In the analysis of disaster bearing capacity evaluation of lifeline system, we should not only investigate the complexity, balance and reliability of network characteristics, but also consider the relation between each subsystem. A new brittleness entropy of city disaster vulnerability associated coupling analysis method is proposed based on the brittleness of complex system theory. Correlation characteristics are reflected and evaluated in the brittle link entropy and the whole lifeline system, and then the vulnerability of city lifeline system can be quantified in flood scenarios. As a result of the coupling analysis and calculation, power system has the greatest effect among other subsystems. Because the key factors and influence of water supply system are uncertainties, the water supply system work or supply should be restored first after the disaster. The results show that the method can provide the basis for the optimization of system management, and control the repair work after disaster and coordination between subsystems. 展开更多
关键词 DISASTER BEARING Capacity LIFELINE SYSTEM SYSTEM Coupling BRITTLENESS ENTROPY
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A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks
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作者 chenmin li Guoping Tan +2 位作者 Jingyu Wu Zhen Zhang lizhong Xu 《International Journal of Communications, Network and System Sciences》 2011年第9期562-567,共6页
Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mech... Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN. 展开更多
关键词 WSN LEACH Protocol Cluster-Head Selection Water-Environment Monitoring
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