Sensor Networks are increasingly playing a fundamental role in many application scenarios such as agriculture, maritime, healthcare, industrial and even military application. However, the high heterogeneity of sensor networks poses a great challenge in interoperability and cooperative work, and the building of technological bridges among wireless sensor network (WSN) islands is more and more a must for smart cities for an efficient operation. In this paper, we present a model for an Area Sensor Network (ASN) that combines and connects small networks (Body Sensor Networks), WSNs and even fixed sensor networks within a particular area of interest. Initial tests show that the combination of sensed data from multiple sources (sensor networks) produces synergetic services useful for smart cities.
Service delivery and customer satisfaction are strongly related items for a correct commercial management platform. Technical aspects targeting this issue relate to QoS parameters that can be handled by the platform, at least partially. Subjective psychological issues and human cognitive aspects are typically unconsidered aspects and they directly determine the Quality of Experience (QoE). These factors finally have to be considered as key input for a successful business operation between a customer and a company.In our work, a multidisciplinary approach is taken to propose a QoE interaction model based on the theoretical results from various fields including pyschology, cognitive sciences, sociology, service ecosystem and information technology. In this paper a QoE evaluator is described for assessing the service delivery in a distributed and integrated environment on per user and per service basis.
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