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Journal of Machine to Machine Communications Journal discontinued 2016Journal discontinued 2016

Editors-in-Chief:
Johnson I. Agbinya, Melbourne Institute of Technology
Shao-Yu Lien, National Formosa University, Taiwan

Associate Editor:
Atsushi Ito, Utsunomiya University, Japan


ISSN: 2246-137X (Print Version),

ISSN: 2246-5235 (Online Version)
Vol: 1   Issue: 3

Published In:   September 2014

Publication Frequency: Triannual


Search Available Volume and Issue for Journal of Machine to Machine Communications Journal discontinued 2016


Journal Description        Editorial Foreword        Read Full Articles        Editorial Board        Subscription        Indexed

Nanometer Scale Electronic Device Integration Using Side-Wall Deposition and Etch-Back Technology

doi: 10.13052/jmmc2246-137X.131
U. Hilleringmann1, F. Assion1, F. F. Vidor2 and G. I.Wirth2

1University of Paderborn, Fac. of Computer Science, Electrical Engineering and Mathematics, Sensor Technology Group, 33095 Paderborn, Germany,
2Universidade Federal do Rio Grande do Sul Escola de Engenharia, Departamento de Engenharia Elétrica, Av. Osvaldo Aranha, 103, Porto Alegre, RS – Brasil,

Abstract: [+]    |    Download File [ 2477KB ]   |    Read Article Online

Abstract: Side-wall deposition and etch-back technology is a cheap method to produce nanometer scale lines and trenches or gaps without expensive equipment like high resolution lithography or chemical-mechanical polishing. It can be used for gratings in integrated optics and in semiconductor technology for electronic device integration. This paper reflects its application for field effect transistors in bulk silicon and demonstrates its potential for nanometer scale particle transistor integration. Silicon and ZnO nanoparticle field effect transistors using different setup structures integrated by side-wall deposition and etchback show on/off ratios of up to 4500 and mobilities up to some cm2 V−1s −1. Although the best structures apply high temperature processing, a reduced temperature process for ZnO nanoparticle transistor integration on glass and foil substrates is presented.

Keywords: nano particle transistor, deposition defined structure; nanoscale trench; ZnO.

Research and Application of Internet of Things

doi: 10.13052/jmmc2246-137X.132
Jin-kuangWang, Jing Zhang, Min-feng Yao, Shi-xing Li and Jie-lun Li

Cisco School of Informatics, Guangdong University of Foreign Studies, Guangzhou, China

Abstract: [+]    |    Download File [ 2536KB ]   |    Read Article Online

Abstract: This paper discusses the architectures, interfaces as well as behaviours of our model of an implemented intelligent device, a Robot. As a case study, the Robot has all the key features of the Internet of Intelligent Things (IoT): autonomous, mobile, and sensorial. By achieving the goal of having a computer or smart phone to access and control the Robot, we present an approach to control and monitor a remote object to move through the Internet.

Keywords: Internet of Things; Embedded System; Sensor; Measurement and Control Technology.

A Differential Cascode Low Noise Amplifier Based on a Positive Feedback Gain Enhancement Technique

doi: 10.13052/jmmc2246-137X.133
Mingcan Cen and Shuxiang Song

College of Electronic Engineering, Guangxi Normal University, Guilin, China

Abstract: [+]    |    Download File [ 2588KB ]   |    Read Article Online

Abstract: This paper presents a differential low noise amplifier (LNA) based on a new configuration suitable for low-power and low noise applications. By inserting additional positive feedback capacitor connected to drain and source terminal of the cascode transistor, this proposed configuration increases voltage gain because of decreasing the total transconductance by a factor generated a negative conductance. In addition, the differential structure and power-constrained simultaneous noise and input matching (PCSNIM) technique are chosen simultaneously to perform the input matching and to improve the noise figure at the desired band. Using TSMC 0.18μmRF CMOS process, the proposed LNA exhibit a state of the art performance consuming only 7.58mW from a 1.8V power supply. Input and output return loss of the LNA are below than −13dB while achieves a power gain of 18.66 dB and a noise figure of 2.03 dB at the band of interest.

Keywords:

A Novel IoT Architecture with Pattern Recognition Mechanism and Big Data

doi: 10.13052/jmmc2246-137X.134
Alberto M. C. Souza1 and José R. A. Amazonas2

1Escola Politécnica, University of Sâo Paulo - USP and Cruzeiro do Sul University - Brazil
2Escola Politécnica, University of Sâo Paulo - USP, Brazil

Abstract: [+]    |    Download File [ 8559KB ]   |    Read Article Online

Abstract: One of the most important IoT challenges is scalability. This paper addresses this issue by introducing pattern recognition services into the lower layers of the IoT reference model stack and reduces the processing at the higher layers. The work adopts the reference model developed by the IoT-A project and the LinkSmart Middleware platform. The new architecture implementation extends the LinkSmart introducing a pattern recognition manager that includes algorithms to estimate parameters, detect outliers, and to perform clustering of raw data from IoT resources. The new module is integrated with the Big Data Haddop platform and uses Mahout algorithms implementation.

Keywords: Internet of Things, Big Data, Architecture.

On Applicability of the Assurance-Oriented Route-Split Routing Method for MANETs with Varying Node Density

doi: 10.13052/jmmc2246-137X.135
Eitaro Kohno, Mario Takeuchi, Anri Kimura and Yoshiaki Kakuda

Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan

Abstract: [+]    |    Download File [ 4279KB ]   |    Read Article Online

Abstract: Assurance network technologies are necessary to produce trustworthy terminals or infrastructure service applications for potentially large-scale networks such as in the Internet-of-Things. In large-scale network systems, not only the size of the network will become larger but also the density will vary in the network. Mobile ad hoc networks (MANETs) could be the future of networks. In the future, the size of networks will become larger. In real situations, nodes are not uniformly distributed in networks. The difference in node density will be greater in large-scale networks. When flooding is conducted in a dense area, network congestion occurs and nodes cannot communicate with each other.

As proposed in paper [1], Route-Split Routing (RSR) can communicate with a higher throughput than theAdhoc On-demand DistanceVector(AODV) method in largeMANETs.Along with the assurance network design principle, RSR splits its route by configuring Sub-route Management Nodes (SMNs) using a constant value called the SMN interval. In large MANETs, nodes are not distributed evenly. Thus, routing protocols for large MANETs must take into consideration that its route will pass through sparse areas and dense areas. In this paper, we propose a new routing method based on RSR for large MANETs with uneven node distribution by using the assurance network design principle. Our proposed method aims to avoid unnecessary rebroadcasts, contentions, and collisions caused by flooding in dense areas. To avoid the broadcast storm problem, we propose a new route repair method with RSR. Our proposed method can communicate with much higher throughput than RSR and AODV in a large MANET with non-uniform density. We have implemented our proposed method on a simulator and evaluated it through simulation experiments. We have observed that our proposed method is effective in large MANETs with uneven node distribution. The effectiveness of our proposed method varies with a configurable parameter called the SMN interval. Our proposed method with an SMN interval of 2 is the most effective among the tested SMN intervals 2, 5, and 8.

Keywords: Mobile ad hoc networks, Assurance networks, Opportunistic broadcast, Broadcast storm, Route-split routing.

River Publishers: Journal of Machine to Machine Communications <sup><font color="#f91b02">Journal discontinued 2016</font></sup>