Management system for optimizing public transport networks: GPS record

As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle infrastructure in large cities despite their attempts to adapt it according to population distribution. This indicates that, in order to reduce users’ travel time, it is necessary to implement alternative road solutions to the use of cars, increasing investment in public transportation [2, 3] by conducting a comprehensive analysis of the state of transportation. This situation has made appear the solutions and development oriented to transportation based on Internet of Things (IoT) which allows, in a first stage, monitoring of public transport systems, in order to optimize the deployment of transport units and thus reduce the time of transfer of users through the cities [4]. These solution proposals are focused on information collected from user resources (data collected through smart phones) to create a common database [5]. The present study proposes the development of an intelligent monitoring and management system for public transportation networks using a hybrid communication architecture based on wireless node networks using IPv6 and cellular networks (LTE, LTE-M)

Generic role assignment: A uniform middleware abstraction for configuration of pervasive systems

Pervasive computing envisions distraction-free support for user tasks by means of cooperating devices that are invisibly integrated into the environment. Due to device mobility and continuous changes in context, pervasive systems need to be adaptive to realize this vision. To simplify their development, pervasive computing middleware ease the resulting configuration tasks. In the past, middleware developers have used independent abstractions to support different task. In this paper, e argue that support for the configuration should be built on top of one generic abstraction. For this, we introduce the abstraction of a role and we outline how role assignment can be used to support configuration. Finally, we also show that our approach has additional benefits such as improved reuse of configuration logic and increased flexibility to support novel configuration tasks

3PC: System support for adaptive peer-to-peer pervasive computing

A major characteristic of pervasive computing applications is their ability to adapt themselves to changing execution environments and physical contexts. In this article, we analyze different kinds of adaptations and introduce a multidimensional classification for them. On this basis, we propose a novel approach for peer-to-peer-based pervasive computing that provides support for the identified classes and integrates them in a multilevel architecture. We give a comprehensive overview of this architecture and its current realization in the Peer-to-Peer Pervasive Computing (3PC) project, discussing what adaptation is realized on each level, how the levels interact with each other, and how the overall system benefits from the integrated treatment of adaptation

A secure context distribution framework for peer-based pervasive systems

Pervasive computing envisions seamless and distraction-free application support for everyday user tasks. Achieving this requires a high degree of automation. In many scenarios, the basis for automation is context information that can be acquired unobtrusively by means of sensors. Consequently, it is vital to ensure the validity of the context information, especially, in cases where automatic decisions can have severe security implications. In smart environments, the validity of context information can be ensured simply using a centralized context storage that is securely connected to all trusted sensors. In peer-based systems such a centralized approach cannot be applied. Instead, it is necessary to use all devices to distribute context information which requires additional precautions to ensure its validity. In this paper, we derive the requirements on secure context distribution for peer-based systems. Furthermore, we describe a generic distribution framework to enabl e the usage of context information in security critical applications. On the basis of a prototypical implementation, we present an evaluation indicating that the proposed framework can achieve a high level of security while being applicable to many scenarios

Real-time context activity scheduling for smart space

A task management system that automatically optimizes the schedule of a person by context-aware interleaving of activities can enable persons to be involved more efficiently in daily activities of interests. As a technical basis for such a task management system, we propose the activity broker architecture. The core of this architecture is formed by the activity scheduler that can effectively schedule personal activities in different contexts in a real-time fashion. As a first step towards realizing the overall activity broker architecture, we present our solution algorithms to the Real-Time Context Activity Scheduling problem. Furthermore, we conduct extensive experiments to evaluate and to compare the performance of the proposed algorithms. The results show that a person can obtain more productive schedules with the assistance of the activity scheduler