As an important part of future 5G wireless networks,a vehicular network demands safety,reliability and connectivity.In this context,networking survivability is usually considered an important metric to evaluate networ...As an important part of future 5G wireless networks,a vehicular network demands safety,reliability and connectivity.In this context,networking survivability is usually considered an important metric to evaluate network performance.In this paper,we propose a survivability model for vehicle communication networking based on dual cluster heads,wherein a backup cluster head(CH)will be activated if the primary CH fails,thereby effectively enhancing the network lifetime.Additionally,we introduce a software rejuvenation strategy for the prime CH to further improve the survivability of the entire network.Using the Probabilistic Symbolic Model Checker(PRISM),we verify and discuss the proposed survivability model via numerical simulations.The results show that network survivability can be effectively improved by introducing an additional CH and further enhanced by adopting the software rejuvenation technique.展开更多
The vehicle survival pattern describes the process that the survival ratio of vehicles decreases with the growth of vehicle age. Vehicle average life span and vehicle scrappage intensity are the key features of vehicl...The vehicle survival pattern describes the process that the survival ratio of vehicles decreases with the growth of vehicle age. Vehicle average life span and vehicle scrappage intensity are the key features of vehicle survival patterns and are important for the projection of China's vehicle scrappage and ownership. In this study, we modeled the vehicle survival patterns of nine classifications of vehicles in China by employing the Weibull distribution, and obtained the vehicle survival ratio functions. It is estimated that the average life spans of private passenger vehicles, government and business vehicles, non-operating buses, heavy duty, medium duty and light duty trucks are 14.5, 13.1, 11.5, 12.8, 10.1, and 8 years, respectively. The scrappage intensities of these vehicles are similar. Average life spans of taxis, transit buses and non-transit operating buses are 5, 9, and 5.5 years with the pattern of mandatory scrappage. Vehicle scrappages in China are mainly regulated by the upper limits of vehicle distances traveled specified by the compulsory scrappage standards.展开更多
基金supported by the National Natural Science Foundation of China (No. 61971245 and 61801249 )Nantong University-Nantong Joint Research Center for Intelligent Information Technology (No. KFKT2016A01)
文摘As an important part of future 5G wireless networks,a vehicular network demands safety,reliability and connectivity.In this context,networking survivability is usually considered an important metric to evaluate network performance.In this paper,we propose a survivability model for vehicle communication networking based on dual cluster heads,wherein a backup cluster head(CH)will be activated if the primary CH fails,thereby effectively enhancing the network lifetime.Additionally,we introduce a software rejuvenation strategy for the prime CH to further improve the survivability of the entire network.Using the Probabilistic Symbolic Model Checker(PRISM),we verify and discuss the proposed survivability model via numerical simulations.The results show that network survivability can be effectively improved by introducing an additional CH and further enhanced by adopting the software rejuvenation technique.
基金Supported by the National High Technology Research and Development Program of China ("863" Project) (Grant No. 2008AA11A157)
文摘The vehicle survival pattern describes the process that the survival ratio of vehicles decreases with the growth of vehicle age. Vehicle average life span and vehicle scrappage intensity are the key features of vehicle survival patterns and are important for the projection of China's vehicle scrappage and ownership. In this study, we modeled the vehicle survival patterns of nine classifications of vehicles in China by employing the Weibull distribution, and obtained the vehicle survival ratio functions. It is estimated that the average life spans of private passenger vehicles, government and business vehicles, non-operating buses, heavy duty, medium duty and light duty trucks are 14.5, 13.1, 11.5, 12.8, 10.1, and 8 years, respectively. The scrappage intensities of these vehicles are similar. Average life spans of taxis, transit buses and non-transit operating buses are 5, 9, and 5.5 years with the pattern of mandatory scrappage. Vehicle scrappages in China are mainly regulated by the upper limits of vehicle distances traveled specified by the compulsory scrappage standards.
