Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of vehicular ad-hoc networks （VANETs） over the past few years. A vehicular ...Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of vehicular ad-hoc networks （VANETs） over the past few years. A vehicular network consists of vehicle-to-vehicle （V2V） and vehicle-to-infrastructure （V2I） communications supported by wireless access technologies such as IEEE 802.11p. This innovation in wireless communication has been envisaged to improve road safety and motor traffic efficiency in near future through the development of intelligent transportation system （ITS）. Hence, governments, auto-mobile industries and academia are heavily partnering through several ongoing research projects to establish standards for VANETs. The typical set of VANET application areas, such as vehicle collision warning and traffic information dissemination have made VANET an interesting field of mobile wireless communication. This paper provides an overview on current research state, challenges, potentials of VANETs as well as the ways forward to achieving the long awaited ITS.展开更多
In order to fully utilize all potential available network resources and make the interoperability of systems possible, we propose to integrate cloud computing and peer-to-peer （P2P） computing environments together. ...In order to fully utilize all potential available network resources and make the interoperability of systems possible, we propose to integrate cloud computing and peer-to-peer （P2P） computing environments together. We utilize the mobile multi-agent technology to construct an effective hierarchical integration model named Cloud-P2P. As the original management mechanisms for traditional cloud computing and P2P computing systems are no longer applicable to Cloud-P2P, we propose a novel hybrid collaborative management ring based on mobile multi-agent in order to ensure the efficiency and success rate of task implementation in the Cloud- P2P environment. This mechanism needs to divide the system into core ring, cloud inner rings and several peer rings. In each ring, every node is in collaboration with its neighbor nodes with multi-agent, or uses mobile agent moving from node to node with string or parallel methods to monitor the statuses and performances of all nodes, in order to avoid problems of performance bottleneck and single point failure. This paper analyses the node conditions of cloud computing and P2P computing environments in-depth, then elaborates on Cloud-P2P and the hybrid collaborative management ring based on mobile multi-agent （HCMRMMA）. After that, the construction method of the network ring topology for Cloud-P2P is introduced. Finally, experimental results and performance analysis of HCMRMMA are presented.展开更多
With the skyrocketing development of technologies,there are many issues in information security quantitative evaluation(ISQE)of complex heterogeneous information systems(CHISs).The development of CHIS calls for an ISQ...With the skyrocketing development of technologies,there are many issues in information security quantitative evaluation(ISQE)of complex heterogeneous information systems(CHISs).The development of CHIS calls for an ISQE model based on security-critical components to improve the efficiency of system security evaluation urgently.In this paper,we summarize the implication of critical components in different filed and propose a recognition algorithm of security-critical components based on threat attack tree to support the ISQE process.The evaluation model establishes a framework for ISQE of CHISs that are updated iteratively.Firstly,with the support of asset identification and topology data,we sort the security importance of each asset based on the threat attack tree and obtain the security-critical components(set)of the CHIS.Then,we build the evaluation indicator tree of the evaluation target and propose an ISQE algorithm based on the coefficient of variation to calculate the security quality value of the CHIS.Moreover,we present a novel indicator measurement uncertainty aiming to better supervise the performance of the proposed model.Simulation results show the advantages of the proposed algorithm in the evaluation of CHISs.展开更多
The Internet of Things has brought a vision to turn the digital object into smart devices by adding an intelligence system and thereafter connecting them to the internet world. These smart devices accumulate environme...The Internet of Things has brought a vision to turn the digital object into smart devices by adding an intelligence system and thereafter connecting them to the internet world. These smart devices accumulate environmental information with the help of sensors and act consequently without human intervention. The Internet of Thing is a rapidly growing industry with expected 50 - 200 billion smart devices to connect to the internet. Multi-billions of smart devices will produce a substantial amount of data to provide services to human society, although, it will lead to increase energy consumption at the highest level and drive to high energy bills. Moreover, the flood of IoT devices may also lead to energy scarcity. IoT is nowadays mainly focused on the IT industry and researchers believe the next wave of IoT may connect 1 trillion sensors by 2025. Even if these sensors would have 10 years of battery life, it will still require 275 million batteries to be replaced every day. Therefore, it is a necessity to reduce energy consumption in smart devices. “Presence Aware Power Saving Mode (PA-PSM) Enhancement for IoT Devices for Energy Conservation”, a proposed novel approach in this research paper by the help of a proposed algorithm in this research paper to reduce power consumption by individual devices within smart homes. In the proposed approach, a centralized automation controller keeps the less priority smart devices into deep sleep mode to save energy and experiments suggest the proposed system may help to reduce 25.81% of the energy consumed by smart devices within the smart home.展开更多
<span style="font-family:"">The smart home is gradually captivating worldwide and provides the best services to human life. It wipes traditional houses by turning them into smart homes;nowadays, n...<span style="font-family:"">The smart home is gradually captivating worldwide and provides the best services to human life. It wipes traditional houses by turning them into smart homes;nowadays, numerous energy-efficient devices lead to optimal energy exploitation. It enhances the inhabitant’s lifestyle, safety, and comfort since it is suitable for users of diverse incomes and ages. It is essential to exploit the technology to develop energy-efficient smart homes. The design and implementation of energy-efficient smart homes are proposed in this research work. It is a proposed model that can control home appliances, monitor energy usage and send low priority devices in switch OFF mode to save energy. It is a system that uses a combination of a central controller, sensors, modules and PA-PSM algorithm also proposed by this research work. The PIR sensor locates the human within the home and brings the nearby appliance in active mode;however, the rest switch OFF mode, the LDR (light dependent resistor) to sense the intensity of the light to decide if the light is needed else stays in switch OFF mode. The Arduino manages all the sensors, modules, home appliances including scheduling, and energy consumption of individual home appliances. The system automates the process and accepts the commands from end-user through mobile applications to use home appliances. It is a novel approach that has several experiments that help to reduce 20.34% of energy consumption.展开更多
基金supported by a Grant-in-Aid for Scientific Research from Ebonyi State Government(EBSG)(No.EBSG/SSB/PS/VII/105)
文摘Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of vehicular ad-hoc networks （VANETs） over the past few years. A vehicular network consists of vehicle-to-vehicle （V2V） and vehicle-to-infrastructure （V2I） communications supported by wireless access technologies such as IEEE 802.11p. This innovation in wireless communication has been envisaged to improve road safety and motor traffic efficiency in near future through the development of intelligent transportation system （ITS）. Hence, governments, auto-mobile industries and academia are heavily partnering through several ongoing research projects to establish standards for VANETs. The typical set of VANET application areas, such as vehicle collision warning and traffic information dissemination have made VANET an interesting field of mobile wireless communication. This paper provides an overview on current research state, challenges, potentials of VANETs as well as the ways forward to achieving the long awaited ITS.
基金supported by National Natural Science Foundation of China(Nos.61472192 and 61202004)Special Fund for Fast Sharing of Science Paper in Net Era by CSTD(No.2013116)Natural Science Fund of Higher Education of Jiangsu Province(No.14KJB520014)
文摘In order to fully utilize all potential available network resources and make the interoperability of systems possible, we propose to integrate cloud computing and peer-to-peer （P2P） computing environments together. We utilize the mobile multi-agent technology to construct an effective hierarchical integration model named Cloud-P2P. As the original management mechanisms for traditional cloud computing and P2P computing systems are no longer applicable to Cloud-P2P, we propose a novel hybrid collaborative management ring based on mobile multi-agent in order to ensure the efficiency and success rate of task implementation in the Cloud- P2P environment. This mechanism needs to divide the system into core ring, cloud inner rings and several peer rings. In each ring, every node is in collaboration with its neighbor nodes with multi-agent, or uses mobile agent moving from node to node with string or parallel methods to monitor the statuses and performances of all nodes, in order to avoid problems of performance bottleneck and single point failure. This paper analyses the node conditions of cloud computing and P2P computing environments in-depth, then elaborates on Cloud-P2P and the hybrid collaborative management ring based on mobile multi-agent （HCMRMMA）. After that, the construction method of the network ring topology for Cloud-P2P is introduced. Finally, experimental results and performance analysis of HCMRMMA are presented.
基金supported in part by the National Key R&D Program of China under Grant 2019YFB2102400,2016YFF0204001in part by the BUPT Excellent Ph.D.Students Foundation under Grant CX2019117.
文摘With the skyrocketing development of technologies,there are many issues in information security quantitative evaluation(ISQE)of complex heterogeneous information systems(CHISs).The development of CHIS calls for an ISQE model based on security-critical components to improve the efficiency of system security evaluation urgently.In this paper,we summarize the implication of critical components in different filed and propose a recognition algorithm of security-critical components based on threat attack tree to support the ISQE process.The evaluation model establishes a framework for ISQE of CHISs that are updated iteratively.Firstly,with the support of asset identification and topology data,we sort the security importance of each asset based on the threat attack tree and obtain the security-critical components(set)of the CHIS.Then,we build the evaluation indicator tree of the evaluation target and propose an ISQE algorithm based on the coefficient of variation to calculate the security quality value of the CHIS.Moreover,we present a novel indicator measurement uncertainty aiming to better supervise the performance of the proposed model.Simulation results show the advantages of the proposed algorithm in the evaluation of CHISs.
文摘The Internet of Things has brought a vision to turn the digital object into smart devices by adding an intelligence system and thereafter connecting them to the internet world. These smart devices accumulate environmental information with the help of sensors and act consequently without human intervention. The Internet of Thing is a rapidly growing industry with expected 50 - 200 billion smart devices to connect to the internet. Multi-billions of smart devices will produce a substantial amount of data to provide services to human society, although, it will lead to increase energy consumption at the highest level and drive to high energy bills. Moreover, the flood of IoT devices may also lead to energy scarcity. IoT is nowadays mainly focused on the IT industry and researchers believe the next wave of IoT may connect 1 trillion sensors by 2025. Even if these sensors would have 10 years of battery life, it will still require 275 million batteries to be replaced every day. Therefore, it is a necessity to reduce energy consumption in smart devices. “Presence Aware Power Saving Mode (PA-PSM) Enhancement for IoT Devices for Energy Conservation”, a proposed novel approach in this research paper by the help of a proposed algorithm in this research paper to reduce power consumption by individual devices within smart homes. In the proposed approach, a centralized automation controller keeps the less priority smart devices into deep sleep mode to save energy and experiments suggest the proposed system may help to reduce 25.81% of the energy consumed by smart devices within the smart home.
文摘<span style="font-family:"">The smart home is gradually captivating worldwide and provides the best services to human life. It wipes traditional houses by turning them into smart homes;nowadays, numerous energy-efficient devices lead to optimal energy exploitation. It enhances the inhabitant’s lifestyle, safety, and comfort since it is suitable for users of diverse incomes and ages. It is essential to exploit the technology to develop energy-efficient smart homes. The design and implementation of energy-efficient smart homes are proposed in this research work. It is a proposed model that can control home appliances, monitor energy usage and send low priority devices in switch OFF mode to save energy. It is a system that uses a combination of a central controller, sensors, modules and PA-PSM algorithm also proposed by this research work. The PIR sensor locates the human within the home and brings the nearby appliance in active mode;however, the rest switch OFF mode, the LDR (light dependent resistor) to sense the intensity of the light to decide if the light is needed else stays in switch OFF mode. The Arduino manages all the sensors, modules, home appliances including scheduling, and energy consumption of individual home appliances. The system automates the process and accepts the commands from end-user through mobile applications to use home appliances. It is a novel approach that has several experiments that help to reduce 20.34% of energy consumption.
