Wireless sensor networks (WSN) are deployed to monitor the physical world and to provide relevant data to the users. The coverage problem of WSN is one of the hot topics of research. Deploying insufficient nodes might...
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Wireless sensor networks (WSN) are deployed to monitor the physical world and to provide relevant data to the users. The coverage problem of WSN is one of the hot topics of research. Deploying insufficient nodes might leave blind spots or sensing holes, which can allow the object such as enemy to pass through. In this paper, a new algorithm MIN_STD_COV is proposed for the efficient coverage in the sensor field, which is designed to optimize the number of sensors and find out their placement to support distributed sensor networks. The MIN_STD_COV chases down the grid point which makes the wireless sensor network have the minimum Standard deviation (STD) during iteration. What should be emphasized is that the redundant coverage is taken into account in the new algorithm MIN_STD_COV. It's important for the algorithm to perform well in some conditions, i.e. preferential coverage. At the same time, we demonstrate that the placement problem can be translated into Integer Programming problem (IP) in order to obtain the global optimum value. In other words, two different solutions are presented in this paper. MIN_STD_COV would be compared to MAX_AVG_COV as well as to MAX_MIN_COV. Whether the preferential coverage is considered or not, it would be shown to exhibit excellent performance via simulations.
As the smart grid develops rapidly,abundant connected devices offer various trading *** raises higher requirements for secure and effective data *** centralized data management does not meet the above ***,smart grid w...
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As the smart grid develops rapidly,abundant connected devices offer various trading *** raises higher requirements for secure and effective data *** centralized data management does not meet the above ***,smart grid with conventional consortium blockchain can solve the above ***,in the face of a large number of nodes,existing consensus algorithms often perform poorly in terms of efficiency and *** this paper,we propose a trust-based hierarchical consensus mechanism(THCM)to solve this ***,we design a hierarchical mechanism to improve the efficiency and ***,intra-layer nodes use an improved Raft consensus algorithm and inter-layer nodes use the Byzantine Fault Tolerance ***,we propose a trust evaluation method to improve the election process of ***,we implement a prototype system to evaluate the performance of *** results demonstrate that the consensus efficiency is improved by 19.8%,the throughput is improved by 12.34%,and the storage is reduced by 37.9%.
Existing methods for modeling E-commerce systems (ECSs) focus mostly on either mathematically abstract verification or graphical modeling, and cannot explicitly describe and analyze the obligations of partners. This w...
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Existing methods for modeling E-commerce systems (ECSs) focus mostly on either mathematically abstract verification or graphical modeling, and cannot explicitly describe and analyze the obligations of partners. This work presents a new class of Labeled Petri nets for the modeling and analysis of ECSs. And the life cycle of a case and the time/date of firing an action are considered. It can model graphically the dynamic behavior of the systems, and analyze elegantly the obligations. This approach is illustrated with a nontrivial example of the modeling and analysis of the trading process of the Purchase transaction in the Internet open trading protocol.
The emergence of Grid Computing settings lays a solid foundation for designing and constructing a next generation E-commerce environment. This work presents a new E-commerce architecture based on a Grid Computing envi...
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The emergence of Grid Computing settings lays a solid foundation for designing and constructing a next generation E-commerce environment. This work presents a new E-commerce architecture based on a Grid Computing environment, and models and analyzes the architecture using Temporal Petri nets (TPNs). It can make sufficiently use of the Grid resources to implement various electronic bargains between the geographically dispersed users. By means of its TPN model, some main temporal properties are represented and verified formally.
Traffic analysis has received more interest as smart cities become a reality. A key component of traffic analysis is detecting the amount of cars that pass certain points. However, limited research exists that explore...
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Statistics show that although malware detection techniques are detecting and preventing malware, they do not guarantee a 100% detection and / or prevention of malware. This is especially the case when it comes to root...
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This paper presents work done to evolve soccer strategies through Genetic Programming. Each agent is controlled by an algorithm in the form of a decision tree to act on the environment given its percepts. Several expe...
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Critical Infrastructure (CI) is the term used to describe assets that are of utmost importance, or in other words, essential in the functioning of an environment. Societies depend on their critical infrastructure in o...
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Information systems are increasingly being used to help manage critical information infrastructures as they evolve in complexity. The Smart grid is such an example that highly depends on a networked critical informati...
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Information from traditional media sources has played an important role in determining the movement of stock prices. However, in recent times, online social network platforms have promoted a more efficient way to shar...
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