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Network, IEEE

Issue 3 • Date May-June 2012

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Displaying Results 1 - 10 of 10
  • IEEE Network - Front cover

    Publication Year: 2012 , Page(s): C1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2012 , Page(s): 1
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  • Empowering the smart grid with wireless technologies [Editor's Note]

    Publication Year: 2012 , Page(s): 2 - 3
    Cited by:  Papers (3)
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  • Machine and robotic networking [Guest Editorial]

    Publication Year: 2012 , Page(s): 4 - 5
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  • Cognitive machine-to-machine communications: visions and potentials for the smart grid

    Publication Year: 2012 , Page(s): 6 - 13
    Cited by:  Papers (34)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (987 KB) |  | HTML iconHTML  

    Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of cognitive radio technology in M2M communications from different point of views, including technical, applications, industry support, and standardization perspectives. Then, our CM2M network architecture and cognitive machine model are presented and the CM2M systems coexistence in TV white spaces is discussed. After that, a CM2M communications architecture for the smart grid is presented, for which we also propose an energy-efficiency driven spectrum discovery scheme. Numerical results demonstrate significant energy saving and the reliability in supporting data transmissions in the smart grid. View full abstract»

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  • An interactive simulator for networked mobile robots

    Publication Year: 2012 , Page(s): 14 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (877 KB) |  | HTML iconHTML  

    This article presents an interactive simulator for formation control of wireless networked robots. The formation control is achieved thanks to the application of consensus algorithms of multi-agent systems which are executed in a distributed manner. Each vehicle sends to its neighbors the state, and they use this state to compute their control law. The agents communicate through a packet-based network. Different scheduling schemes are provided: time-based and event-based, with different event trigger functions. The user can configure the topology of the network, define delays in the communication links, packet-dropout rates or induce error in the transmission of the packets. The user can test the system in a large number of possible scenarios and interact with the simulation by just drag-and-drop actions. Four cases of study are provided to show some of the capabilities of the simulation tool. View full abstract»

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  • Cloud robotics: architecture, challenges and applications

    Publication Year: 2012 , Page(s): 21 - 28
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (793 KB) |  | HTML iconHTML  

    We extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotic architecture leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Cloud robotics utilizes an elastic computing model, in which resources are dynamically allocated from a shared resource pool in the ubiquitous cloud, to support task offloading and information sharing in robotic applications. We propose and evaluate communication protocols, and several elastic computing models to handle different applications. We discuss the technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in different applications. View full abstract»

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  • Cloud networked robotics

    Publication Year: 2012 , Page(s): 28 - 34
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (817 KB) |  | HTML iconHTML  

    This article proposes a new field of research called Cloud Networked Robotics, which tackles the issues for supporting daily activity, especially for the elderly and the disabled, throughout various locations in a continuously and seamless manner by abstracting robotic devices and providing a means for utilizing them as a cloud of robots. With recent advances in robotic development environments and in integrated multi-robot systems, robots are acquiring richer functionalities and robotic systems are becoming much easier to develop. However, such stand-alone robotic services are not enough for continuously and seamlessly supporting daily activity. We examine the requirements in typical daily supporting services through example scenarios that target senior citizens and the disabled. Based on these requirements, we discuss the key research issues in cloud network robotics. As a case study, a field experiment in a shopping mall shows how our proposed prototype infrastructure of cloud networked robotics enables multi-location robotic services for life support. View full abstract»

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  • Agents misbehaving in a network: a vice or a virtue?

    Publication Year: 2012 , Page(s): 35 - 40
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (239 KB) |  | HTML iconHTML  

    Misbehaviors among the agents in a network might be intentional or unintentional, they might cause a system-wide failure or they might improve the performance or even enable us to achieve an objective. In this article we consider examples of these possible scenarios. First, we argue the necessity of monitoring the agents in a network to detect if they are misbehaving or not and outline a distributed method in which each agent monitors its neighbors for any sign of misbehavior. Later, we focus on solving the problem of distributed leader selection via forcing the agents to temporarily misbehave, and introduce an algorithm that enables the agents in a network to select their leader without any interference from the outside of the network. View full abstract»

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  • Exploration time reduction and sustainability enhancement of cooperative clustered multiple robot sensor networks

    Publication Year: 2012 , Page(s): 41 - 48
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3542 KB) |  | HTML iconHTML  

    A robot sensor network (RSN) is defined as a network of sensor-equipped robots and sensor nodes (that are deployed by the robots) that wirelessly communicate for remote-control, mission-cooperation, and to report sensed information to the control and reporting center (CRC). RSNs use real-time video communication support (in addition to various sensor data communication) for mission-cooperation and remote-control of its multi-robots. In this article, the hybrid data-type clustering (HDC) and subnet-divided HDC (SHDC) algorithms are proposed to maximize the RSN lifetime and enable more efficient multi-robot mission-cooperation. View full abstract»

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Aims & Scope

IEEE Network covers topics which include: network protocols and architecture; protocol design and validation; communications software; network control, signaling and management; network implementation (LAN, MAN, WAN); and micro-to-host communications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Xuemin (Sherman) Shen, PhD
Engineering University of Waterloo