Abstract-Ubiquitous and pervasive networks and applications include a growing number of research themes. In most use cases, applications require location information to interpret their environment and behave accordingly. In this paper, location algorithms and positioning methods that can be used for wireless geolocation are presented.

Tools usually used until yet to manage flows of goods are mostly based on information systems such as ERP, WMS, APS, TMS, or other legacy systems. The advent of cloud computing (CC) and Internet of Things (IoT) adds the relevant information and events capture issue, transfer, storage, processing and sharing. Also, for a better collaboration and interoperability enhancement in supply chain, it is interesting to notify automatically each event related to logistic flows to involved actors. In order to remedy to these issues, we propose in this paper the architecture of a collaborative platform based on advanced technologies related to IoT, CC, GPS/GPRS and RFID for positioning, identification, communication, tracking and data sharing.

This paper deals with the performance evaluation of a public transportation system in terms of waiting times at various connection points. The behaviour of a bus network is studied in the framework of Discrete Event Systems (DES). Two possible operating modes of buses can be observed at each connection stop: periodic and nonperiodic mode. Two complementary tools, Petri nets and (max, +) algebra, are used to describe the network by a non stationary linear state model. This one can be solved after solving the structural conflicts associated to the graphical representation. From the characteristic matrix of the mathematical model, we determine eigenvalues and eigenvectors that we use to evaluate the connection times of passengers. This work is finally illustrated with a numerical example.

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