A Distributed Sensor Network (DSN) that can provide access to information anytime, anywhere by collecting, processing, analyzing and disseminating data. Thus, the network actively participates in creating a smart envi...
详细信息
A Distributed Sensor Network (DSN) that can provide access to information anytime, anywhere by collecting, processing, analyzing and disseminating data. Thus, the network actively participates in creating a smart environment. Distributed Sensor Networks promise to revolutionize sensing in a wide range of application domains. This is because of their reliability, accuracy, flexibility, cost effectiveness and ease of deployment of nodes in topology of DSN. Smart sensors can offer vigilant surveillance and can detect and collect data concerning any sign of machines failure, earthquakes, floods and even a terrorist attack energy efficiency, topology control and fault-tolerance are the most important issues in the development of next-generation DSN. Fault tolerance is the ability of a system to deliver a desired level of functionality in presence of faults in the topology. Topology control as a low level service governs communication among all nodes and is hence the primary target for increasing connectivity and saving energy. In this work, we have proposed two models for fault detection and fault recovery to achieve fault tolerance in topology. The proposed fault detection model is used to detect faults at node level (checking node's energy) and network level faults (link failure and packet error). The proposed fault recovery model is used to achieve fault tolerance by adjusting the topology of the randomly deployed sensor nodes. Finally, we have evaluated the performance parameters for the proposed scheme.
Commerce is a rapidly emerging application area of ubiquitous computing. Electronic commerce (e-commerce), mobile commerce (m-commerce) and ubiquitous commerce (u-commerce) are based not only on developments pertainin...
详细信息
Commerce is a rapidly emerging application area of ubiquitous computing. Electronic commerce (e-commerce), mobile commerce (m-commerce) and ubiquitous commerce (u-commerce) are based not only on developments pertaining to the Internet compound, but also on prior technological and organizational innovations arising from the combination of telecommunications and organizational computing. A ubiquitous commerce is a service requested according to the customer's personal profile, which typically include individual preferences, keeping the technical constraints of mobile device in use and the context of operating environment using recommender system. In ubiquitous environment, a recommender system is an important key role that is used to provide suitable recommendation solutions to the customers. Recommender system addresses a variety of ubiquitous commerce needs. In ubiquitous commerce, contextual information must be incorporated into the recommendation process for offering quicker and relevant services. This paper attempts to present basic concepts like methods of recommender system, issues and challenges of recommender system in u-commerce, context aware recommender system and finally, discusses a sample scenario of recommender system in u-commerce.
暂无评论