Conferences related to Mobile Sensor Networks

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE Wireless Communications and Networking Conference (WCNC)

IEEE WCNC is the world premier wireless event that brings together industry professionals, academics, and individuals from government agencies and other institutions to exchange information and ideas on the advancement of wireless communications and networking technology. The conference will feature a comprehensive technical program offering numerous technical sessions with papers showcasing the latest technologies, applications and services. In addition, the conference program includes workshops, tutorials, keynote talks from industrial leaders and renowned academics, panel discussions, a large exhibition, business and industrial forums.


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Periodicals related to Mobile Sensor Networks

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


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Most published Xplore authors for Mobile Sensor Networks

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Xplore Articles related to Mobile Sensor Networks

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Mobile sensor networks for sampled-data control of a class of distributed parameter systems

The 26th Chinese Control and Decision Conference (2014 CCDC), 2014

This paper develop the sampled-data control problem of a class of distributed parameter systems. A novel sampled-data control scheme is presented using mobile sensor networks. By utilizing a Lyapunov functional which depend on spatial parameter, a controller combine to decentralized static output feedback control scheme and the point measurement of the mobile sensor is designed to derive several sufficient criteria ...


Mobile sensor networks node distribution optimization based on minimum redundant coverage

Proceedings of the 29th Chinese Control Conference, 2010

In the research on mobile sensor networks, the proper deployment of sensor nodes directly affects the working effect of a mobile sensor network. For the sensor networks constructed by random distribution, better sensor coverage can be achieved by topology adjustment utilizing the mobility of the sensor nodes. Aiming at the optimization of node distribution in mobile sensor networks, a multi-object ...


A Location Based Energy Efficient Intersection Routing Protocol in Mobile Sensor Networks

2008 International Conference on MultiMedia and Information Technology, 2008

Typically, sensor networks consist of fixed sensor nodes. Sometimes, creating such a fixed sensor networks could be a daunting task. Sensor nodes assume deploying a stationary sensor network over a dangerous area such as a battlefield. Even if an advanced method to make the deployment safer is used, diverse element will cause a coverage holes. Even though perfect coverage can ...


A location based routing protocol in mobile sensor networks

2009 11th International Conference on Advanced Communication Technology, 2009

Typically, sensor networks consist of fixed sensor nodes. Sometimes, creating such a fixed sensor networks could be a daunting task. Sensor nodes assume deploying a stationary sensor network over a dangerous area such as a battlefield. Even if an advanced method to make the deployment safer is used, diverse element will cause a coverage holes. Even though perfect coverage can ...


An energy-efficient clustering algorithm in mobile sensor networks

2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013), 2013

The random mobility of mobile sensor networks causes many difficulties on designing related algorithms and protocols, such as high energy consumption, low energy efficiency and short lifetime. In order to improve the performance of mobile sensor networks, this paper proposes an energy-efficient clustering algorithm in which residual energy of sensor nodes and average residual energy of systems are considered to ...


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Educational Resources on Mobile Sensor Networks

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IEEE.tv Videos

IEEE Themes - Learning about human behavior from mobile phone data
Localization Services for Online Common Operational Picture and Situation Awareness
Generation of Models for Wireless Sensor Network Assessment
Cooperative Localization in Sensor Networks
George Oikonomou’s Paper: Traffic Forensics for IPv6-Based Wireless Sensor Networks and the IoT: WF-IoT 2016
Compressive Sensing Tutorial: A Game Changing Technology for Energy Efficient IoT Sensor Networks: WF-IoT 2016
Robotics History: Narratives and Networks Oral Histories: Ralph Hollis
Security for SDN/NFV and 5G Networks - Ashutosh Dutta - India Mobile Congress, 2018
5G Non-Public Networks: Edge, Networks & Slicing - Hans Schotten - B5GS 2019
Gabriel Martins Dias: Using Data Prediction Techniques to Reduce Data Transmissions in the IoT: WF IoT 2016
Honda U3-X Personal Mobility Device in NY
Ashutosh Dutta interviewed at India Mobile Congress 2018
IEEE Themes - Efficient networking services underpin social networks
IEEE Themes - Five incentive schemes for peer-to-peer networks
Sensing and Decision Making in Social Networks
Alexandros Fragkiadakis: Trust-based Scheme Employing Evidence Reasoning for IoT Architectures: WF-IoT 2016
The Role of Edge Computing in Advancing the Transformation of the Mobile-Broadband Network - Frank Rayal, Fog World Congress 2017
IEEE Themes - Social dynamics in peer-to-peer sharing networks
IEEE Themes - Science of Social Networking
Commercial 5G Technology as a Building Block for Tactical Wireless Communications - Leland Brown and Issy Kipnis - 5G Technologies for Tactical and First Responder Networks 2018

IEEE-USA E-Books

  • Mobile sensor networks for sampled-data control of a class of distributed parameter systems

    This paper develop the sampled-data control problem of a class of distributed parameter systems. A novel sampled-data control scheme is presented using mobile sensor networks. By utilizing a Lyapunov functional which depend on spatial parameter, a controller combine to decentralized static output feedback control scheme and the point measurement of the mobile sensor is designed to derive several sufficient criteria ensuring the distributed parameter systems to be globally asymptotically stable. The criteria are given in the form of linear operator inequalities and the velocity law of each mobile sensor. It is also shown that static sampled-data control of distributed parameter systems is just a special case of our main results. A numerical simulations illustrate the effectiveness of the proposed control scheme in enhancing system performance.

  • Mobile sensor networks node distribution optimization based on minimum redundant coverage

    In the research on mobile sensor networks, the proper deployment of sensor nodes directly affects the working effect of a mobile sensor network. For the sensor networks constructed by random distribution, better sensor coverage can be achieved by topology adjustment utilizing the mobility of the sensor nodes. Aiming at the optimization of node distribution in mobile sensor networks, a multi-object node distribution optimization scheme based on minimum redundant coverage is proposed. Simulation results show that the proposed scheme can quickly achieve node distribution optimization of a mobile sensor network, increase the effective coverage rate, reduce network redundant coverage, extend network lifetime, and achieve global optimization of the deployment of the mobile sensor network.

  • A Location Based Energy Efficient Intersection Routing Protocol in Mobile Sensor Networks

    Typically, sensor networks consist of fixed sensor nodes. Sometimes, creating such a fixed sensor networks could be a daunting task. Sensor nodes assume deploying a stationary sensor network over a dangerous area such as a battlefield. Even if an advanced method to make the deployment safer is used, diverse element will cause a coverage holes. Even though perfect coverage can be achieved initially, various factors such as malicious attacks will certainly degrade network coverage as time goes on. However, mobile sensor networks can solve some of the problems. Each node of mobile sensor network is mounted on various unmanned vehicles as a result the sensor nodes have mobility. Mobility reinforces fault-tolerance and the scalability of the network. But conventional sensor routing protocols find it hard to deal with the mobile sensor networks. Therefore, this study suggests an energy efficient routing scheme by using the location information of a Global Positioning System (GPS) and the energy levels of sensor nodes.

  • A location based routing protocol in mobile sensor networks

    Typically, sensor networks consist of fixed sensor nodes. Sometimes, creating such a fixed sensor networks could be a daunting task. Sensor nodes assume deploying a stationary sensor network over a dangerous area such as a battlefield. Even if an advanced method to make the deployment safer is used, diverse element will cause a coverage holes. Even though perfect coverage can be achieved initially, various factors such as malicious attacks will certainly degrade network coverage as time goes on. However, mobile sensor networks can solve some of the problems. Each node of mobile sensor network is mounted on various unmanned vehicles as a result the sensor nodes have mobility. Mobility reinforces fault-tolerance and the scalability of the network. But conventional sensor routing protocols find it hard to deal with the mobile sensor networks. Therefore, this study suggests an energy efficient routing scheme by using the location information of a global positioning system (GPS) and the energy levels of sensor nodes.

  • An energy-efficient clustering algorithm in mobile sensor networks

    The random mobility of mobile sensor networks causes many difficulties on designing related algorithms and protocols, such as high energy consumption, low energy efficiency and short lifetime. In order to improve the performance of mobile sensor networks, this paper proposes an energy-efficient clustering algorithm in which residual energy of sensor nodes and average residual energy of systems are considered to co-design the clustering algorithm. It can overcome the problems brought by the random mobility in mobile sensor networks. A novel residual energy difference ratio is presented to select cluster-heads, which can reduce energy consumption, increase throughput rate and prolong the network lifetime. The NS2 software is used to simulate the algorithm and the simulation results verify the validity of the new clustering algorithm.

  • A gradient descent based approach to secure localization in mobile sensor networks

    Localization of constituent nodes is of fundamental importance in many wireless sensor networks (WSNs) related applications. Existing research has mainly investigated the problem of localization in static WSNs, where the localization is performed mainly at the time of the node deployment. In contrast, it is important to keep track of the current locations of the nodes by invoking the localization algorithm periodically in mobile nodes. The high computation cost associated with most existing localization algorithms makes them less practical to use in resource constrained mobile sensor networks (MSNs). Additionally, these existing techniques often fail in hostile environments where some of the nodes may be compromised by adversaries, and used to transmit misleading information aimed at preventing accurate localization of the remaining sensors. In this paper, we build on our earlier work to propose an iterative gradient descent based technique with low computational complexity to securely localize nodes in MSNs. The proposed algorithm combines iterative gradient descent with selective pruning of inconsistent measurements to achieve a high localization accuracy. Simulation results demonstrate that the proposed algorithm can find a map of relative locations of the MSN even when some nodes are compromised and transmit false information.

  • Autonomous hexagonal deployment for optimal coverage in mobile sensor networks

    Self-deployment is one of the main research issues in mobile sensor networks. It determines quality of service of networks, such as coverage and connectivity. In this paper, a novel autonomous hexagonal deployment algorithm for optimal coverage is presented to achieve the ideal hexagonal deployment. According to this algorithm, a self-deployment approach by adjusting centroid is proposed so that the stacking problem in traditional virtual force approach can be avoided. Moreover, the virtual force algorithm is used to improving the sparse deployment. Simulation results show that self-deployment by the proposed algorithm can effectively reach the ideal hexagonal deployment for optimal coverage in the mobile sensor network with concentrated or sparse initial placement.

  • Optimal Design of Mobile Sensor Networks Based on Resource Constraint and Mobility

    Resource constraint and random mobility are two main factors affecting system performance in mobile sensor networks, which cause many difficulties on system designing. In this paper, an adaptive-coded-modulation scheme is introduced to optimize the limited system resource. On the basis of the optimal scheme, a delay calculating algorithm is proposed to acquire the delay bounds of mobile sensor networks. A dynamic clustering algorithm Based on residual energy rate is also presented which makes the whole system adapt to the random mobility of sensor nodes. The residual energy of sensor nodes and average residual energy of system are considered in the residual energy rate, which can effectively avoid the nodes with low residual energy being selected as cluster heads. The NS2 software is used to simulate the optimal design and the simulation results verify the validity of the new scheme.

  • Energy-efficient localization for mobile sensor networks based on RSS and historical information

    Existing localization algorithms for mobile sensor networks are mostly based on the Sequential Monte Carlo (SMC) localization method. However, these methods usually suffer from low sampling efficiency. So some algorithms try to reduce the sampling area by employing position relationship with neighbor common nodes. But such algorithms need high communication cost and significantly shorten the network life time. In order to solve the energy problem and improve localization accuracy, in this paper, we proposed a new energy-efficient algorithm based on Received Signal Strength (RSS), distance and direction of the moving anchor nodes and Monte Carlo localization (MCL), so the algorithm is called RDMCL. RDMCL derives three methods based on the number of nodes' one-hop neighbor anchors to build a more effective sampling area. Simulation results show that our algorithm indeed improve localization accuracy and save energy cost of network.

  • DAG-based multipath routing for mobile sensor networks

    We propose a new multipath routing protocol called DMR for mobile sensor networks, where any node can move anytime. DMR is based on the IETF RPL framework, which uses directed acyclic graph (DAG) to remove routing cycles. By broadcasting DAG construction messages including rank and link quality indication, DMR constructs DAG and provides path redundancy. This allows mobile sensors to find multiple alternative paths easily on local and global route failures. Our experimental results show that DMR successfully delivers more than 97% of messages while improving the energy efficiency for MSN by effectively reducing routing overheads by 65% and 56% on average compared to the existing MANET routing protocols AODV and AOMDV, respectively.



Standards related to Mobile Sensor Networks

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Jobs related to Mobile Sensor Networks

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