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Foreword by Guest Editors for the Special Issue on the 2016 Global Conference on Wireless and Optical Communications (GCWOC'16)

Bhawani Shankar Chowdhry, Javier Poncela, Thomas Newe, Pablo Otero, Muhammad Aamir
2016 Wireless personal communications  
This special issue comprises a selection of best papers from the Global Conference on Wireless and Optical Communications (GCWOC'16).  ...  Welcome to this special issue of Wireless Personal Communications.  ...  Special thanks to all the authors for promptly revising their papers to meet the requirements of reviewers.  ... 
doi:10.1007/s11277-016-3887-3 fatcat:tavahe3mufam5glmxhji5hunki


2009 Parallel Processing Letters  
However, manually designing a cellular automaton to perform a given computation can be extremely tedious, and automated design techniques such as genetic programming have their limitations because of the  ...  , and various problems pertaining to node placement in wireless sensor networks. i Acknowledgements This may be the hardest section to write in my entire thesis, as it is difficult for me to thank the  ...  Coverage solutions for mobile sensor networks Mobility is at the core of the presented system.  ... 
doi:10.1142/s0129626409000079 fatcat:i4pmb7td5vekxjv3r3ngavt62q

Self-Organizing Sleep-Wake Sensor Systems

Kyung Joon Kwak, Yuliy M. Baryshnikov, Edward G. Coffman
2008 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems  
An application of concepts from cellular automata theory accounts for much of its novelty.  ...  System performance is a focus of the paper, along with the inverse problem of cellular automata, and self-organizing systems in general: How does one set local rules and initial states so as to achieve  ...  Introduction A low-cost, low-energy sensor deployed in large numbers is a characteristic of many applications of wireless sensor networks.  ... 
doi:10.1109/saso.2008.15 dblp:conf/saso/KwakBC08 fatcat:uggknk4qa5elxawgwqnxouyt54

Intelligent D-Band wireless systems and networks initial designs

Marco Di Renzo, Xuewen Qian, Halid Hrasnica, Nikos Katzouris, Kyriakos Manganaris, Dimitris Selimis, Fotis Lazarakis, Tachporn Sanguanpuak, Heikki Halmetoja, Moamen Ibrahim, Edwin Yaqub, Rachana Desai (+5 others)
2021 Zenodo  
system level model for proactive handovers and resource allocation, model-driven deep learning-based channel estimation and feedbacks as well as strategies for deployment of machine learning based solutions  ...  The different chapters present system level, simulation and algorithmic models based on multi-agent reinforcement learning, deep reinforcement learning, learning automata for complex event forecasting,  ...  Deployment of Mobility Models In this section, we describe in detail the mobility models that will be used for the system level simulations.  ... 
doi:10.5281/zenodo.5718378 fatcat:l3rkacgotzazha564nqm6wchiy

Energy efficient networks: recent research and future challenges

Hocine Ameur, Lyes Khoukhi, Moez Esseghir, Leila Merghem Boulahia
2017 International Journal of Wireless and Mobile Computing  
Owing to the explosion of data and the growing need for communications, energy consumption in Information and Communication Technology (ICT) sector has shown a staggering increase these last years, making  ...  Despite the efforts that have been done for communication networks greening, researches in this field still encounter different issues and a considerable number of challenges need to be dealt with.  ...  Many researches have been done to ensure network coverage in Mobile Wireless Sensor Networks (MWSNs). Among these works, we mention the model proposed by Torbey (Chen et al., 2015) .  ... 
doi:10.1504/ijwmc.2017.083047 fatcat:ntpjpfbuybae5gpwmfkydsxezi

Adaptive pursuit learning for energy‐efficient target coverage in wireless sensor networks

Ramesh Upreti, Ashish Rauniyar, Jeevan Kunwar, Hårek Haugerud, Paal Engelstad, Anis Yazidi
2020 Concurrency and Computation  
The mobile sensor deployment problem and the target coverage problem in mobile WSNs are NP-Hard. 13 The target coverage problem by the sensor nodes in the WSN includes three families of problems which  ...  Sensors are the principal components that bring the idea of IoT into reality. 3 However, these sensors are an integral part of the wireless sensor networks (WSNs).  ...  portion of the region of interest, preserving the connectivity among sensors.  ... 
doi:10.1002/cpe.5975 fatcat:3hj273ok6rdjxblikzacqjxar4

Chemical polarization effects of electromagnetic field radiation from the novel 5G network deployment at ultra high frequency

Ugochukwu O Matthew, Jazuli S Kazaure
2021 Health and Technology  
The wide-spectrum of non-ionizing, non-visible radiation emitted from the novel 5G network deployment was investigated and found liable to produce effects capable of heating up and altering human body  ...  The Magnetic fields warming is the major organic consequence of the electromagnetic fields radiofrequency radiation emitted from 5G network installation especially at a very high frequencies.  ...  The opportunities for automation and development of new marketing strategy, enterprise business models and business intelligence ecosystem is now as operators prepare the current networks for 5G deployment  ... 
doi:10.1007/s12553-020-00501-x pmid:33527067 pmcid:PMC7839940 fatcat:j6elvlr3ibgr5nwywg22ttduae

On Connectivity and Energy Efficiency for Sleeping-Schedule-Based Wireless Sensor Networks

Lijun Wang, Jia Yan, Tao Han, Dexiang Deng
2019 Sensors  
Based on the connectivity and energy consumption problems in wireless sensor networks, this paper proposes a kind of new network algorithm called the connectivity and energy efficiency (CEE) algorithm  ...  Simulation results show that this algorithm combines the connectivity and the energy efficiency, provides a useful reference value for the normal operation of the sensors networks.  ...  [9] also proposed an irregular cellular learning automaton (ICLA)-based algorithm to preserve sensors protection.  ... 
doi:10.3390/s19092126 fatcat:uxad3i7habe3lcc42amjpu4ivq

III Advanced Topics [chapter]

2016 Soft Computing Applications in Sensor Networks  
, and wireless mobile sensor networks.  ...  In case of static WSNs, the sensor nodes cannot change their positions; they remain fixed according to their initial deployment. On the other hand, sensor nodes are mobile in mobile WSNs.  ...  In HEH-BMAC, each sensor is connected to an energy harvester.  ... 
doi:10.1201/9781315372020-13 fatcat:ze5voikcfbfi5lubz5t5oismua

Emergence and Control of Macro-Spatial Structures in Perturbed Cellular Automata, and Implications for Pervasive Computing Systems

M. Mamei, A. Roli, F. Zambonelli
2005 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
Predicting the behavior of complex decentralized pervasive computing systems before their deployment in a dynamic environment, as well as being able to influence and control their behavior in a decentralized  ...  On this basis, the paper also reports the results of a set of experiments, showing how it is possible to control, in a decentralized way, the behavior of perturbed cellular automata, to make any desired  ...  Following this model, the state transitions exhibited by the sensor nodes perfectly resembles those of a perturbed cellular automata: nodes communication takes into account the CA internal dynamics, while  ... 
doi:10.1109/tsmca.2005.846379 fatcat:wgjasrbwhzclbeflf5lujvsdfe

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

Yuhuai Peng, Xiaojie Wang, Lei Guo, Yichun Wang, Qingxu Deng
2017 Applied Sciences  
As a key technology in smart healthcare monitoring systems, wireless body area networks (WBANs) can pre-embed sensors and sinks on body surface or inside bodies for collecting different vital signs parameters  ...  Therefore, this paper presents a design in healthcare monitoring systems for a proactive reliable data transmission mechanism with resilience requirements in a many-to-one stream model.  ...  The work was supported by the National Natural Author Contributions: Y.P. performed the experimental part, modelled, analyzed data and reported the results.  ... 
doi:10.3390/app7080817 fatcat:sbamm63s7rfa7dp54zpawfdyze

Monitoring the Application [chapter]

Adam Shackelford
2015 Beginning Amazon Web Services with Node.js  
Some deployments involved installing sensors for months at a time in static locations, and some deployments involved campaigns of three to five days with mobile sensor systems.  ...  A tool maps a Virgil program to a timed automaton and uses a real-time model checker to check properties of a timed automaton that represents all program variables via transitions, and can capture timings  ...  In this model of computing, the sensors are servants. They exist to generate data. And the more sensors there are, the better the data quality should be.  ... 
doi:10.1007/978-1-4842-0653-9_7 fatcat:b6s3wv3jcvf6xiniouokdhwtba

Final Program

2021 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)  
control of automatons.  ...  SR has a wide range of applications such as E-health, wireless body area networks, smart home, and mobile cellular networks.  ... 
doi:10.1109/vtc2021-spring51267.2021.9448675 fatcat:if5edc6u7zcc7jnl67jezth3je

Hybrid Control of Networked Embedded Systems

A Balluchi, L Benvenuti, S Engell, T Geyer, K Johansson, F Lamnabhi-Lagarrigue, J Lygeros, M Morari, G Papafotiou, A Sangiovanni-Vincetelli, F Santucci, O Stursberg
2005 European Journal of Control  
Hybrid systems that involve the interaction of continuous and discrete dynamics have been an active area of research for a number of years.  ...  We then provide an overview of recent developments in four of the most prominent application areas of hybrid control methods: Control of power systems, industrial process control, design of automotive  ...  automatic repeat request (ARQ) error control coding is performed over the Mobile Station Base Station Figure 19 : System overview of wireless Internet in a case when a mobile user connects to an Internet  ... 
doi:10.3166/ejc.11.407-508 fatcat:qlj7zastlrflddqrpq5b4wgv2e

Distributed coverage in mobile sensor networks without location information

Marzieh Varposhti, Vesal Hakami, Mehdi Dehghan
2019 Autonomous Robots  
In this paper, we consider the problem of self-deployment of a set of mobile sensors which have no knowledge of the area, the number of nodes, their location, and even the distances to each other.  ...  With the recent advances in robotic technologies, field coverage using mobile sensors is now possible, so that a small set of sensors can be mounted on mobile robots and move to desired areas.  ...  Location-free mobile sensor deployment In this section, we propose a distributed learning algorithm for the self-deployment of mobile sensors, which we call location free mobile sensor deployment (LFMSD  ... 
doi:10.1007/s10514-019-09859-y fatcat:6eo5ydtibzfsnn4245maved7zy
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