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Journal of Mobile Multimedia

Editor-in-Chief: Pavlos Lazaridis, University of Huddersfield, UK


ISSN: 1550-4646 (Print Version),

ISSN: 1550-4654 (Online Version)
Vol: 15   Issue: Combined Issue 1 & 2

Published In:   January 2019

Publication Frequency: Quarterly


Search Available Volume and Issue for Journal of Mobile Multimedia


Journal Description        Read Full Articles        Editorial Board        Subscription        Indexed

A Testing Framework for Multi-Sensor Mobile Applications

doi: https://doi.org/10.13052/jmm1550-4646.15121
Darian Frajberg, Piero Fraternali, Rocio Nahime Torres, Carlo Bernaschina and Roman Fedorov

Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, Italy

Abstract: [+]    |    Download File [ 4248KB ]    |   Read Article Online

Abstract: Outdoor mobile applications are becoming popular in many fields, such as gaming, tourism and environment monitoring. They rely on the input of multiple, possibly noisy sensors, such as the camera, Global Positioning System (GPS), compass, accelerometer and gyroscope. Testing such applications requires the reproduction of the real conditions in which the application works, which are hard to recreate without automated support. This paper presents a capture & replay framework that automates the testing of mobile outdoor applications; the framework records in real-time data streams from multiple sensors acquired in field conditions, stores them, and let developers replay recorded test sequences in lab conditions, also computing quality metrics that help tracing soft errors.

Keywords: Mobile sensing, Regression testing, Mobile Augmented Reality, Context simulation.

An Intelligent Internet of Things (IoT) Sensor System for Building Environmental Monitoring

doi: https://doi.org/10.13052/jmm1550-4646.15122
Qian Huang1, and Kyle Kieffer2

1School of Architecture, Southern Illinois University Carbondale, Illinois, USA
1Electrical and Computer Engineering Department, Southern Illinois University Carbondale, Illinois, USA

Abstract: [+]    |    Download File [ 5066KB ]    |   Read Article Online

Abstract: One of the world’s largest sources of energy dissipation is heating, ventilation, and air conditioning (HVAC), which accounts for 40% of total electricity use in the United States. The main challenge of current HVAC systems is that their operation is determined by a set of predefined setpoints regardless of the actual building occupancy status. This is wasteful, especially when no or fewer people occupy buildings, while these HVAC systems deliver more than enough fresh air. Occupancy-driven HVAC control is a promising strategy to improve the efficiency of HVAC systems. In this paper, we will address the next-generation sensor hardware design and explore new system architectures. We systematically investigate, design, and implement a lowcost, hybrid smart sensor platform for accurate occupancy counting towards energy-efficient buildings. Specifically, the proposed hardware architecture is wisely divided into two modules: main and gate monitoring modules. Five heterogeneous sensors are integrated into this architecture to collect richer building environmental parameters, including temperature, humidity,CO2, acoustic, and infrared signals. These sensor signals can be fused and analyzed for cross-correlation to increase the accuracy of building occupancy counting. The proposed systems have been implemented in breadboards and PCB boards. Experimental measurements have validated system functionality and performance.

Keywords: Room occupancy monitoring, Internet of Things, Heterogeneous Sensor

Trust Management Approach for Securing the Services Access:Telecom Operators Collaborations in IMS Network

doi: https://doi.org/10.13052/jmm1550-4646.15123
Nawal Ait Aali, Amine Baina and Loubna Echabbi

Laboratory of Telecommunications Systems, Networks and Services National Institute of Posts and Telecommunications (INPT), Rabat, Morocco

Abstract: [+]    |    Download File [ 1950KB ]    |   Read Article Online

Abstract: IP Multimedia Subsystem (IMS) network presents a new generation in the telecommunication infrastructure by providing a variety of services whatever the used technologies. Therefore, to make the customers satisfied, their telecom operator provides them several services according to their attached user profile (subscription type). However, some services are not hosted by the home operator; the service providers are responsible to present these services to the customers. In this case, the operator contacts the concerned provider for requesting the access to the desired services. In fact, this access may arise some security issues which affect the customer privacy and the services security. In this paper,we project our approach, Tr-OrBAC, in the context of collaboration between service providers and telecom operators.We discuss the case when the customer wishes to access to a service hosted by an external service provider. We present the encountered security problems. Then, we depict and we detail the functioning of our approach to resolve these problems.

Keywords: IMS network, trust management, collaboration, trust criteria, privacy, telecom operator, service provider, decision making, AHP.

Community Detection Method Based on Two-layer Dissimilarity of Central Node

doi: https://doi.org/10.13052/jmm1550-4646.15124
Yuexia Zhang and Ziyang Chen

No. 35 Bei Si Huan Zhong Lu, Chaoyang District, Beijing 100101, China

Abstract: [+]    |    Download File [ 3067KB ]    |   Read Article Online

Abstract: Studying community discovery algorithms for complex networks is necessary to determine the origin of opinions, analyze the mechanisms of public opinion transmission, and control the evolution of public opinion. The problem of the existing clustering algorithm of the central node having a low quality of community detection must also be solved. This study proposes a community detection method based on the two-layer dissimilarity of the central node (TDCN-CD). First, the algorithm selects the central node through the degree and distance of the node. Selecting nodes in the same community as the central node at the same time is avoided. Simultaneously, the algorithm proposes the dissimilarity index of nodes based on two layers, which can deeply explore the heterogeneity of nodes and achieve the effect of accurate community division. The results of using Karate and Dolphins datasets for simulation show that compared to the Girvan–Newman and Fast–Newman classical community partitioning algorithms, the TDCN-CD algorithm can effectively detect the community structure and more accurately divide the community.

Keywords: Complex network, community detection, dissimilarity, central node, modularity.

River Publishers: Journal of Mobile Multimedia