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Editorial: Network coverage: From theory to practice

Shibo He, Dong-Hoon Shin, Yuanchao Shu
2019 Peer-to-Peer Networking and Applications  
., designs Cellular Automaton (CA) based localized motion planning algorithms for both dispersion and gathering problems.  ...  The ninth paper, BConnectivity Preserving Obstacle Avoidance Localized Motion Planning Algorithms for Mobile Wireless Sensor Networks^by M. Y. Hassan, F.  ... 
doi:10.1007/s12083-018-0713-6 fatcat:tiup5s7ht5g37o2jpiqpbcp2zy

Learning Automata Based Face-Aware Mobicast

S. M. Safavi, M. R. Meybodi, M. Esnaashari
2014 Wireless personal communications  
Target tracking is one of the most popular applications of the wireless sensor networks.  ...  Wireless sensor  ...  Learning automata has been recently used successfully in thearea of WSN; LABER: A Learning Automata Based Energy-aware Routing Protocol for Sensor Networks [14], A cellular learning automata based clustering  ... 
doi:10.1007/s11277-014-1616-3 fatcat:o7fcigd3kze5rnktuub2xy4lw4

A Cellular Learning Automata Based Clustering Algorithm for Wireless Sensor Networks

M. Esnaashari, M. R. Meybodi
2008 Sensor Letters  
In the second part of the paper, based on the proposed model a new clustering algorithm for sensor networks is designed.  ...  Clearly, algorithms for wireless sensor networks must be distributed in order to prevent single points of failure. Moreover, sensors in the network are limited in power, computational capacity and  ...  If s i is not a head or a member, then the status of s i is unspecified which is in contradiction with the result of Lemma 3. Therefore G 1 and G 2 are connected a.a.s. and hence the theorem.  ... 
doi:10.1166/sl.2008.m146 fatcat:4i7owvjbvrachkwuumwutnb3dm

An Energy Aware Cellular Learning Automata Based Routing Algorithm for Opportunistic Networks

Feng Zhang, Xiaoming Wang, Peng Li, Lichen Zhang
2016 International Journal of Grid and Distributed Computing  
In this section we propose the DICMLA model based on the analysis on the learning automaton (LA), cellular learning automaton (CLA), irregular CLA (ICLA) and dynamic irregular CLA (DICLA).  ...  Message transmission in opportunistic networks is accomplished via the encounters of mobile nodes while moving around.  ...  CLA has been applied in many wireless sensor networks fields, such as energy based routing algorithm in WSN [16] , deployment strategy for mobile wireless sensor networks [17] .  ... 
doi:10.14257/ijgdc.2016.9.2.22 fatcat:bp6b5gdvtfailglbhkyv4bmjyu

Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal

Jesus Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ixchel Lina Reyes, Ricardo Tejeida-Padilla, Liliana Chanona Hernández, Juan Pablo Francisco Posadas Durán
2020 Sensors  
Wireless sensor networks (WSNs) allow the IIoT network to collect, process, and share data of different parameters among Industrial IoT sense Node (IISN).  ...  We simulated the performance of our algorithm and compared it with other state-of-the-art protocols, finding that our proposal generates a longer lifetime of the IIoT network when few IISNs were connected  ...  In that algorithm, the learning automaton of each sensor node allowed one to choose the lowest-transmission range based on the signal strength generated by the learning automaton of its neighboring sensor  ... 
doi:10.3390/s20102855 pmid:32443435 fatcat:msyjjx4fezcnpil3zu3ruum47e

A Survey of Algorithms and Systems for Evacuating People in Confined Spaces

Huibo Bi, Erol Gelenbe
2019 Electronics  
This paper offers state-of-the-art knowledge in this area so as to share ongoing research results, identify the research gaps and address the need for future research.  ...  We present a comprehensive review of research on emergency evacuation and wayfinding, focusing on the algorithmic and system design aspects.  ...  Static and Mobile Wireless Sensor Network-Based Systems Compared with static WSNs, mixed WSNs, which contain mobile nodes, can monitor uncovered areas of static sensors and are less prone to failures in  ... 
doi:10.3390/electronics8060711 fatcat:i6h2fpkyqrhgfpmjahvels5azu

Geocomputation's future at the extremes: high performance computing and nanoclients

K.C Clarke
2003 Parallel Computing  
Examples are given of nanoclients, including wearable computers, smart dust, microelectromechanical systems and wireless integrated network sensors.  ...  It seems quite likely that a new suite of methods, based in computing, will emerge to replace the standard set of mathematical tools, such as optimization methods, in use today.  ...  While this is often not possible for algorithms [2] , it is sometimes entirely feasible for methods like model calibration, Monte Carlo simulation, and cellular automaton modeling.  ... 
doi:10.1016/j.parco.2003.03.001 fatcat:ols4uo23mreefm5slbejkwkteq

Energy-Efficient Multi-Disjoint Path Opportunistic Node Connection Routing Protocol in Wireless Sensor Networks for Smart Grids

Anees, Zhang, Baig, Lougou
2019 Sensors  
The gradual increase in the maturity of sensor electronics has resulted in the increasing demand for wireless sensor networks for many industrial applications.  ...  One of the industrial platforms for efficient usage and deployment of sensor networks is smart grids.  ...  Acknowledgments: The authors would like to thank all the reviewers for their insightful comments and deliberate suggestions for improving the quality of this paper.  ... 
doi:10.3390/s19173789 fatcat:j54hfq7nvvbgrnwtkmbwpupdfe

An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks

Mohd Adnan, Liu Yang, Tazeem Ahmad, Yang Tao
2021 IEEE Access  
), energy-aware unequal clustering fuzzy (EAUCF), and two-tier distributed fuzzy logic-based protocol (TTDFP) for efficient data aggregation in multi-hop wireless sensor networks algorithms.  ...  Wireless sensor networks (WSNs) is associated with a new exemplification of a real-time embedded system used for various applications that make the traditional infrastructure-based network seem infeasible  ...  In the paper [28] , the authors aim to defend sensor protection and provide efficiency of the wsn while using an irregular cellular learning automaton (ICLA)-based algorithm, also called SPLA.  ... 
doi:10.1109/access.2021.3063097 fatcat:kjla6i4uo5gnrl3th32ghjamqm

Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System

Jaime Moreno, Oswaldo Morales, Ricardo Tejeida, Juan Posadas, Hugo Quintana, Grigori Sidorov
2019 Sensors  
To improve the efficiency of the network, in this article we proposes a distributed learning fractal algorithm (DFLA) to design the control topology of a wireless sensor network (WSN), whose nodes are  ...  Wireless sensor networks (WSNs) consist of a large number of small devices or nodes, called micro controller units (MCUs) and located in homes and/or offices, to be operated through the internet from anywhere  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19061442 fatcat:nhkdhe267jax3eiuuxmzn6olae

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  
In this context, this paper describes the general behavior observed in a large set of asynchronous cellular automata when external perturbations influence the internal activities of cellular automata cells  ...  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  ...  To ground the discussion, let us consider a sensor-network application scenario, in which a large number of computer-based devices with sensing capabilities are dispersed in an outdoor environment (see  ... 
doi:10.1109/tsmca.2005.846379 fatcat:wgjasrbwhzclbeflf5lujvsdfe

Self-Organizing Architectures for Digital Signal Processing [chapter]

Daniele Peri, Salvatore Gaglio
2013 Design and Architectures for Digital Signal Processing  
of wireless sensor networks [61].  ...  Then, in a short time lapse, wireless networks broadened the communication horizon once again providing us with mobile systems.  ... 
doi:10.5772/53334 fatcat:ukz5drlwfjfyxdumnc273cdqja

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  
This deliverable gives the results of the ARIADNE project's Task 4.2: Machine Learning based network intelligence.  ...  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,  ...  Likewise, in [157] , the authors reported a centralized deep learning based algorithm for coordinated beamforming vector design in high-mobility and high-directional wireless systems.  ... 
doi:10.5281/zenodo.5718378 fatcat:l3rkacgotzazha564nqm6wchiy


2012 Procedia Engineering  
Data Aggregation Algorithm for Wireless Sensor Networks J.  ...  for Wireless Sensor Network Node based on Zigbee S.  ... 
doi:10.1016/s1877-7058(12)01003-x fatcat:h3tienvctfgkpkwmhui6bgs4ee

Distributed optimization Grid resource discovery

Mohammad Hasanzadeh, Mohammad Reza Meybodi
2014 Journal of Supercomputing  
Target monitoring and lifetime scheduling are among challenging issues of wireless sensor networks (WSNs). Moreover, LA models are employed in [14] for solving target coverage problem of WSNs.  ...  Classification algorithms try to determine the observations labels based on the set of training data. A Cellular Automata (CA) model is proposed in [15] for binary classification problem.  ...  Different classes of ant-like mobile agents are used for the management of overlay network: (1) A discovery ant collects information about the network.  ... 
doi:10.1007/s11227-014-1289-4 fatcat:evkwukzemnhlbnkgdsyf34ynyu
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