Indeed in this vision the pervasive computing environment can be described with his words: ”Specialized elements of hardware and software, connected by wires, radio waves and infra-red, will be so ubiquitous that no one will notice their presence”.Īt this moment we note an heterogeneity of hardware, software and communication technologies that are spreading pervasively in the physical world bringing closer the dream of ubiquitous computing. In his vision the recent Internet era is a transient point from mainframes at the beginning, now servers and networked personal computers toward a next era in which technology will be pervasive, oriented to supporting people in an almost invisible manner. He thinks that past and present computing history can be summarized as mainframe computing, personal computing, and network computing/Internet. More than twenty years ago Mark Weiser described the beginning of a new coming era, called the Ubiquitous Computing or also Calm Technology, defining the beginning of something also now in becoming. We wrote a discrete event simulator working on the base of mobility and radio propagation traces obtained from the UDelModels tools. The study we present in this paper has been done using computer simulation. Some reflections are made so as that similar results may be obtained adding Unmanned Aerial Vehicles to a real urban scenario. We study the diffusion of data items and information updates in the whole area, experimenting in different conditions the influence of adding to the scenario random motion of nodes. The objective of the paper is to evaluate the percentage of information each node gathers with policies based on a simple distributed data gathering and sharing through local broadcast communications. So all nodes must strive for updating or obtaining the latest data version. The environment is supposed to be dynamic: data items may change over time. This is centred around the node position itself. In particular, each terminal aims to retrieve the data items or environmental information in a limited region of interest (ROI). Also we aim to consider other nodes, for example also nodes with a completely random series of movements, regardless of their usefulness or natural real possibility. This set includes mobile nodes, two differently equipped type of them, pedestrian and vehicles, and fixed terminals. In this paper we consider a set of few terminals, not ever of the same type, in a smart city fractioned in zones that are interested in collecting the information originated from environment but possibly also other several sources by sensors, reading tags or communications. In this article we present an example of opportunistic networking system of communication for gathering and spreading information inside an urban area, trying to overcome obstacles to network efficacy.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
March 2023
Categories |