Network Performance Measurement through Machine to Machine Communication in Tele-Robotics System

Machine-to-machine (M2M) communication devices communicate and exchange information with each other in an independent manner to perform necessary tasks. The machine communicates with another machine over a wireless network. Wireless communication opens up the environment to huge vulnerabilities, making it very easy for hackers to gain access to sensitive information and carry out malicious actions. This paper proposes an M2M communication system through the internet in Tele-Robotics and provides network performance security. Tele-robotic systems are designed for surgery, treatment and diagnostics to be conducted across short or long distances while utilizing wireless communication networks. The systems also provide a low delay and secure communication system for the tele-robotics community and data security. The system can perform tasks autonomously and intelligently, minimizing the burden on medical staff and improving the quality and system performance of patient care. In the medical field, surgeons and patients are located at different places and connected through public networks. So the design of a medical sensor node network with LEACH protocol for secure and reliable communication ensures through the attack and without attack performance. Finally, the simulation results show low delay and reliable secure network transmission

Arquitectura M2M para el monitoreo ambiental en tiempo real

En el Instituto de Geografía Tropical (IGT), y en el resto de los centros que desarrollan el Sistema de Información Ambiental del país, no se obtienen en tiempo real las mediciones ambientales.  Esto se debe a que la tecnología utilizada para la comunicación de dicha información, desde los sensores que la capturan al centro donde se procesa, se encuentra obsoleta. El objetivo de este trabajo es dar solución a la problemática antes planteada empleando la comunicación Máquina a Máquina (M2M), como parte de la tecnología del Internet de las Cosas (IoT). Para lograr lo anterior, se revisó la arquitectura M2M definida por Instituto Europeo de Normas de Telecomunicaciones y, a partir de ella, se precisó la que se debía emplear en la obtención de datos ambientales en tiempo real. Se seleccionó un área geográfica con características especiales, ubicada en una zona de premontaña de difícil acceso en las afueras del municipio Consolación del Sur, provincia Pinar del Río de Cuba, donde en la actualidad se monitorizan factores ambientales de interés para el país empleando métodos rudimentarios. En el área M2M de dicho escenario se analizaron varias alternativas para la obtención de los datos, lo que permitió seleccionar la más adecuada, que es la que se explica en este trabajo.In the Institute of Tropical Geography (IGT), and in the rest of the centers that develop the Environmental Information System of the country, environmental measurements are not obtained in real-time. This is because the technology used to communicate this information, from the sensors that capture it to the center where it is processed, is obsolete. The objective of this work is to provide a solution to the problems raised above using Machine to Machine communication (M2M), as part of the Internet of Things (IoT) technology. To achieve the above, the M2M architecture defined by the European Telecommunications Standards Institute was revised and, based on it, the one that should be used to obtain environmental data in real-time was specified. Then, a geographical area with special characteristics was selected, located in a difficult-to-access pre-mountain zone on the outskirts of the Consolación del Sur municipality, in the Pinar del Río province of Cuba, where environmental factors of interest for the country are currently monitored using archaic methods. In the M2M area of this scenario, several alternatives were analyzed to obtain the data, which allowed selecting the most appropriate one, which is the one explained in this wor

Tiarrah Computing: The Next Generation of Computing

The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge

International Journal of Smart Grid and Clean Energy 3D visualized data management for network devices based on multilevel caches

Abstract Three dimensional visualization technologies are dramatically improving convenience and efficiency in modern industrial managements. In this paper, a novel multilevel caches-based 3D visualization system for managing device data, which could be applied for displaying 3D scenes and processing device data simultaneously, is investigated. The system is fast-response, compared to conventional strategies. This work may provide helpful references and inspirations for applications about computer based visualization, complex data management and network communications

Proof of concept : large-scale monitor and control of household water heating in near real-time

Presentation presented at the International Conference on Applied Energy ICAE 2013, Jul 1-4, 2013, Pretoria, South Africa Paper ID: ICAE2013-189.Two fundamental challenges for efficient energy management are the lack of timely demand and consumption information at the distribution level, and inability to responsively control supply at that level. With recent advances made in wireless communications and machine-to-machine (M2M) networking, a plethora of new solutions have been proposed for smart-grid and home automation. The many approaches, however, focus on the communications and technological domains of these solutions. In this paper we present the design and results of a proof-of-concept project, in which 18 homes were equipped to remotely monitor and control hot water cylinders in real time. The system makes use of the SMART platform to collect and collate telemetry data, and to deliver commands through the use of a cellular network. Users can set the on-off times of their water heating, and also monitor the consumption on a daily basis, in energy or monetary units. The data is centrally processed to provide useful information to the utility, such as the expected total demand for the system in 15 minute intervals, detected leaks, sudden drops in pressure, anode depletion, and to control each cylinder individually. In this paper we look at the system design and highlight some key results.Original pape