Damjan Katusic

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Machine-to-Machine (M2M) systems and technologies currently constitute a hot topic in the field of Information and Communication Technology (ICT), and reflect an increasing need for technologies enabling applications in diverse areas, as well as interactions between continuously increasing numbers of connected devices. Important participants in making M2M(More)
Approximately two thirds of users worldwide use mobile (i.e. cellular) network for Internet access. Downlink and uplink data rates are important factors for enabling certain level of QoS (Quality of Service) and QoE (Quality of Experience). In this paper the aforementioned data rates were measured using only equipment available to an ordinary subscriber.(More)
It has been estimated that by the end of 2020 there will be 50 billion connected devices in Machine-to-Machine (M2M) networks. Such projections should encourage us to deal with the corresponding problems in heterogeneous M2M systems. First of all, devices can communicate through different access technologies (e.g. wireline, 2G/3G, WiFi, Bluetooth) and their(More)
The evolution of M2M (Machine-to-Machine) systems is gaining momentum in recent years. Ubiquitous wireless and wireline connectivity, and declining prices of communication modules are the main drivers of such a positive trend. While the potential market opportunities for M2M are immense, there are still many open issues: global market and standards(More)
Number of connected devices in Machine-toMachine (M2M) systems is rapidly growing: according to famous predictions made by Ericsson, by the end of 2020 there will be 50 billion devices in M2M systems around the world. The idea to connect a plethora of devices, whether they are fixed, movable or fully mobile, that communicate through different technologies(More)
In order to improve business more and more different systems nowadays rely on M2M communication. It provides benefits to companies in various industries, individuals, communities, and organizations in both public and private sector. Automated services and data management, remote diagnostics and real-time statistics are just a few of many benefits of using(More)
User privacy is becoming an issue on the Internet due to common data breaches and various security threats. Services tend to require private user data in order to provide more personalized content and users are typically unaware of potential risks to their privacy. This paper proposes a risk calculator based on a feedforward neural network that will provide(More)
This paper tackles the problem of Quality-of-Service (QoS) in heterogeneous Machine-to-Machine (M2M) systems. The concern for QoS guaranties has been widely expressed in the past for both wired and wireless networks. However, only recently when these two types of networks have converged into one, thus making one huge heterogeneous system called M2M, new(More)